TBPN Live - Mary Meeker's AI Report, Ukraine's Operation Spider Web | Soren Monroe, Connor Love, Melisa Tokmak, Jordan Schneider, Maxwell Meyer
Episode Date: June 2, 2025TBPN.com is made possible by: Ramp - https://ramp.comFigma - https://figma.comVanta - https://vanta.comLinear - https://linear.appEight Sleep - https://eightsleep.com/tbpnWander - https://wa...nder.com/tbpnPublic - https://public.comAdQuick - https://adquick.comBezel - https://getbezel.com Numeral - https://www.numeralhq.comPolymarket - https://polymarket.comAttio - https://attio.comFollow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235https://youtube.com/@technologybrotherspod?si=lpk53xTE9WBEcIjV(28:07) - Trends in Artificial Intelligence Deep Dive (01:00:14) - Soren Monroe. Soren is the co-founder and CEO of Neros Technologies, a U.S.-based defense startup producing advanced FPV drones with a fully American supply chain. A former world champion in drone racing, he co-founded Neros in 2023 to address the U.S. military's need for mass-manufacturable unmanned systems, securing a contract to deliver 6,000 Archer drones to Ukraine. Monroe-Anderson is also a Thiel Fellow and previously founded FPV Supply Co., specializing in high-performance drone components. (01:32:12) - Connor Love. Connor is a Partner at Lightspeed Venture Partners, focusing on frontier technologies in defense, space, manufacturing, and autonomous systems. A former U.S. Army Captain, he served in Northern Iraq and as a strategic advisor in Washington, D.C., before earning graduate degrees from Oxford and Stanford GSB. At Lightspeed, he has led investments in fintech and insurtech startups, including Seel, Lemon Markets, and Herald. (01:59:44) - Melisa Tokmak. Melisa is the founder and CEO of Netic, an AI-native revenue engine designed for essential service industries like HVAC, plumbing, and electrical contracting. Launched in 2024, Netic utilizes real-time data and automation to help service businesses capture leads and stabilize revenue during fluctuations in demand. Previously, Tokmak held leadership roles at Scale AI and Meta, and holds a degree in computer science from Stanford University. (02:21:47) - Jordan Schneider. Jordan is the founder of ChinaTalk, a newsletter and podcast offering in-depth analysis of Chinese technology, politics, and U.S.-China relations. He is a fellow at the Rhodium Group and the Center for a New American Security, and previously worked at Kuaishou, Bridgewater Associates, and the Eurasia Group. Schneider holds a BA in history from Yale and an MA in economics from Peking University’s Yenching Academy, and is fluent in Chinese. (02:44:00) - Maxwell Meyer. Maxwell is the founder and editor of Arena Magazine, a quarterly print and digital publication launched in 2024 that focuses on technology, capitalism, and civilization. A Stanford geophysics graduate and former editor-in-chief of the Stanford Review, Meyer created Arena to counteract negativity in legacy media and to champion innovation and American dynamism. He also serves as president of the Intergalactic Media Corporation of America, the magazine’s parent company.
Transcript
Discussion (0)
You're watching TBPN today is Monday June 2nd 2025
We are live from the TBPN ultra dome the temple of technology the fortress of finance the capital of capital
How was your weekend? I I saw from X you watched the new movie mountain head break it down for us
Give us a little jewelry review. I did, you know, I don't watch a lot of movies
This is your second movie after second or third was the other one you watched the classic cult classic
So I felt inclined to watch this film. Okay, it released on Saturday
Yeah, and it was kind of pitch we talked about it on Friday was kind of yes is like very Silicon Valley coded very very
Yeah, so this is by Jesse Armstrong sure creator of Succession. Oh, okay.
I did watch Succession, I loved it.
I thought it's this blend of dark humor
and a good storyline.
And Mountainhead felt like the exact opposite.
It had a really, kind of,
I'll give you the high level,
I'll try not to give anything away.
It's four tech entrepreneurs who are going to meet up
for a poker.
All entrepreneurs, all founders, no VCs?
It seemed like everybody was a founder,
but of course they dabble in investing as well.
Yeah, as one does.
Anyway, so four of them are going for a poker weekend.
I found out it was in Park City, Utah, wander actually helped them get the house no way fantastic house
So they all sort of like to send on this house for a poker weekend
Yeah, I think the deal or their deal was no heels no deals and no chefs or something like that
It was like one of those row strip. Yeah, it was boy strip. So
They get together one of them I couldn, I'm sure somebody's put it together
better than I have, but it was like some,
it felt like a combination of Evan Spiegel
and Mark Zuckerberg, social media guy,
running this business called Tram.
And he had released a generative AI tool
that was so good that it started as they were
sort of descending on this
Park City home starting to cause global chaos because really there was like you
know you could do that yeah the idea the idea was that the deep fakes were so
good that there would be a deep fake yeah like one tribe in Kenya attacking
another tribe and then it would spark you know real conflict wow we wait so
that that screenshot you you you said like there's,
at least there's a new meme format
and it's Steve Carell saying he is a D-cell
with crazy P-Doom and zero risk tolerance.
Like you didn't put that text over that.
No.
That's actually from the show.
That is actually Steve Carell saying he is a D-cell
with crazy P-Doom and zero risk tolerance.
Wow.
We'll get to that.
Okay, anyway, sorry.
So the movie, they descend on this house,
Tram has launched this product.
And it goes on.
They're basically just hanging out over the weekend
as this product gets worse and worse and worse.
And I pulled up some notes.
So deepfakes are causing global chaos.
They're using a bunch of very awkward buzzwords.
You could tell it was written by people that didn't like tech
entrepreneurs or bean airs or centies.
There was a funny dynamic where one of the four bros
is only worth half a billion.
At one point, they go on a mountain
and they write their net worths on their chest.
And everybody has a B except the one guy who has just an M
Okay, so it was pretty
You know he was he was feeling really bad about it later. Yeah, I now this is just a dead giveaway
So I'm not gonna. I'm not gonna go there, okay
But I mean like the P-dome thing seems pretty in group like it's it's pretty close like so
The P-Doom thing seems pretty in-group. It's pretty close to like, you know.
It's a couple years old.
Eventually, there's a guy, one of the founders
has some type of filtering technology
that detects deepfakes.
They have to do a deal?
And so the social media guy is trying to do a deal with him.
He says, no.
Filter guy goes to one of the other guys
and says, we gotta get this guy fired, basically.
Okay, interesting.
And so that's when Steve Carell goes now this guy's a doomer with a
crazy P doom and then the three other guys plot to kill the other so then most
of the movie is them trying to kill yeah it seems like it's part of that like I
forget what they call it like mansion corep. Have you seen this? Yes
where
A24 got very very good at making a movie like Knives Out where they basically go and rent like an incredible house
And then they shoot the whole movie there and it's just like takes you around from one room to the next and you're kind of in
This like beautiful
Cinematic environment the whole time And it seems to be an interesting takeaway for Hollywood
that it's like a higher leverage production.
Because it has the aesthetics of a big cinematic movie,
and they're shooting it on nice cameras.
But it's one house.
It's like basically one location.
And so if you rent just one location,
all of a sudden you're not like, oh yeah, our second unit
is in Tokyo for the scene where Batman jumps off the thing.
It's like, that is so much more expensive.
Moving around is so much more expensive
than just being like, we're gonna dominate
this one little house for a month,
and then we're just shooting the conversation.
So that was it.
It was basically one location.
It was a very nice location.
But ultimately it was like this weird combination
of like, it was like a critique of the tech billionaires, but at the same time it was like this weird combination of like, it was like a critique of the tech billionaires,
but at the same time, it was like using all this insider
sort of teapot language.
Very interesting.
That would have been wildly confusing to somebody
that wasn't a tech insider.
I came away being like, I don't know who this was for.
Like, I understand making a movie
for the sort of anti-tech crowd.
Yep.
Or making a movie that's like succession meets AI,
but it came away sort of neither of those things for me.
And it was really rough watch.
By the end I was watching purely
because I wanted to be able to comment
on the show right now.
There was a review, I believe, of the movie.
It's the end of the world and it's their fault.
The tech bros have ascended to movie villain status by Charlie Worzel in the Atlantic.
It has a very attention-grabbing headline because it makes it sound like it's like,
tech bros are really bad, but then it's about the movie.
I don't know.
It's just part of the vibe shift, we'll see.
I wonder who's giving it rave reviews I'm sure I mean it certainly
broke through on the internet but anyway it has 79% on tomato not too bad yeah
well we should talk about Andrew Reed's latest investment because he's investing
in movies now to Sequoia just invested $100 million into movie
at a $1 billion valuation.
He's joined the board and partnering with the founder
and the movie team to champion great cinema
around the world.
You are a movie guy.
Yeah.
Are you a movie user?
I'm not a movie subscriber,
but I'm sure I've watched stuff
that they've distributed or published,
but probably just on Apple TV
or just purchased those films or seen them in theaters.
But it sounds like the movie has a much bigger vision.
And we kind of saw this with what's happening at A24.
It seems like A24 is expanding pretty significantly.
But Andrew Reed shares a little clip here.
What is movie?
A streaming service, a distributor, a publisher,
a curator, a cinema lover, a curator a cinema lover a community. Yes
And there's a quote from the Financial Times or maybe from a different article about the company says but
Cakerel is the founder isn't that the founder isn't just interested in topping the box office
He wants to reinvigorate movie-going culture by creating an ecosystem that extends from streaming
to publishing to art house theaters,
offering movie lovers the chance to see
the kind of offbeat visionary work
that other studios are afraid to make.
In doing so, he's intentionally creating
a worldwide community of film devotees
that has been neglected for too long.
Very interesting.
Yeah, we should get Andrew on the show and talk to him.
And we've got Scott Belsky coming on the show from A24. I'm not sure how much he
can talk about A24 strategy right now, but I'm sure we'll get to know him and
learn more about how the film industry is changing. It's obviously super
relevant to us since we're, you know, trying to bring media to Hollywood and
we're building a media company here. And so, as these distribution engines change,
it's obviously good to keep track of.
Anyway, in other news, there's a couple things
that we wanted to cover today.
Obviously, we're gonna go over the timeline
and break down everything.
But the big news over the weekend
was the Ukraine drone attack on Russia.
They shipped shipping containers into deep into Russia at
which point drones flew out of the containers and hit strategic targets.
We're gonna have two guests on the show today. Soren Munro Anderson from Nero's
to talk about that and also Connor Love from Lightspeed to talk about that and
also Defense Tech Investing generally and a bunch of other things that
are going on in his world. And there are a couple other founders
and folks coming on the show.
Let's go to Cole Rottman and talk about,
he made his own version of the minus list,
which I think in some ways is potentially,
I don't know, it's like in some ways even more indicative.
People have been calling this the Rottman list.
The Rottman list, yeah.
So he says 16 investors have led two Series A rounds
that became $5 billion companies since 2012.
You can see a pattern.
Alfred Lin in consumer marketplaces,
Andrew Mack in fintech, Mamoon in B2B work tools,
Mickey Mulcah in fintech, Mitch Laski in consumer social.
And so basically, his algorithm,
so the Midas list has always been a little bit tricky
because funds report the allocation of deals differently.
Are you familiar with this?
Yeah, they wanna, they're gaming it a little bit.
Yeah, it's a game.
They're giving sometimes a little more credit
than maybe they should to a certain investor
on certain deals in order to.
So if I remember correctly, the Midas List
has a great data partner through one of the LPs that's
basically an LP in every fund.
And so they have a really good insight
into ownership by individual firms,
into individual companies, and valuations of those companies.
And so sometimes those marks can be a little bit frothy
and it can be debatable because there could be like,
you could have made the Midas list for being in FTX
and then the next year it's a zero.
And so it doesn't feel like it has a staying power.
But in general, they have a very good tie
between VC firm and company and valuation
and entry price too and multiple.
But what they don't necessarily know is the individual
who is responsible for the particular deal inside the firm
because that doesn't necessarily get reported to LPs.
And so what funds will do sometimes is they will kind of
shift the chips around the table afterwards to give
maybe the hero partner that they're trying to boost up
more credit for deals that they're trying to boost up more credit for
deals that they were only tangentially involved.
Yeah, if one if one partner led a certain deal, but then had no chance of getting on
the list at all.
Yeah, they might say, hey, look, you know, you're going to take one for the team.
Yeah, yeah.
And then there's also the question of like, sometimes partners change from one firm to
the next.
And who gets credit for that deal?
If there were two partners at one fund that
did a really amazing deal, and then one of the partners
leaves to go to another fund, then that partner's
going to want to take that deal credit with them.
But that other fund is going to say, hey, well, it's our position.
And so we should now assign it was actually our guy, the guy who
left.
He left because he was saying no.
Yeah, he's on the press release.
He wanted to pass. He wanted to pass.
He wanted to pass.
Exactly, exactly.
So there's a whole bunch of funny dynamics.
But this is kind of an interesting methodology
because it's almost simpler.
It's basically just like, who's the series A lead investor?
Who joined the board.
Who joined the board, which is probably easier to figure out.
Although even board seats change around sometimes.
Because it's like, oh, your company's doing really well.
Well, we're going to make our named partner the board member
instead of the person that found the deal, which
is sometimes rough.
But sometimes, actually, some investors are like, no,
I don't want to be on the board of a public company.
So I'm happy to hand it off to the storied partner
at my firm in order so that I can go and be on more boards
at the earlier stage.
And so the true goat list here, series A lead investors
that have had three $5 billion plus outcomes since 2012.
You got Doug Leone, Hamant from General Catalyst, Keith
Raboy, and Mark Andreessen.
And then there's maybe 10 or 15 that
have done two series A
lead investments in a $5 billion outcome.
Now, it is kind of.
I saw Ilya Sukhar posted and was like, just one more deal.
Then I'll be happy.
He's got two from the win.
Oh, yeah.
Yeah, yeah.
So he just wants to be the clearly,
you know, there's a big gap between the threes and the twos.
No, if Ilya wants to move up the rankings in the short term,
change his name to Aardvark, Aardvark Sukhar.
Because it's, because within the list of VCs
that have done two $5 billion deals, it's alphabetical.
And so Alfred Lin's up at the top,
so you gotta have two A's in front of you to jump Alfred.
So Aardvark Sukkar is the ticket.
I mean, that's what Bezos did with Amazon, right?
He was like, I want to be first in the dictionary,
so I'll just use Amazon because it's an A name.
It'll show up first.
Pleasure.
Yeah.
Anyway, congrats to everyone that made the the rotman list
Very fun to see this could be the start of something very
Yeah, it's gonna be the start of a new list John. Yeah. Yeah. Yeah, it's an interesting methodology Of course
It doesn't really take into account if you had three deals that were exactly five billion
You would be ranked higher than one person who got the $100 billion or the trillion dollar company.
And so you kind of miss out that.
And also it's like, this is particular to Series A lead.
What if you got 20% ownership in the seed?
That's probably even better, right?
Lower entry price.
So there are always nuances to these lists,
but it's still fun to see all the goats in one place,
in one goat herd.
One herd. In one herd.
There we go, we got a new sound board today.
We got some more sound board.
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Andreessen Horowitz and Coastal adventures are backing a bridge AI for doctors at a five point three billion dollar valuation
Let's hear it. Why are you clapping instead of hitting the size gone? It's a
Like to clap
There we go, yeah, I mean a part of an interesting trend obviously application layer an important narrative more
More focus on these verticals Harvey having a lot of attention.
I heard OpenAI is at something like 80% plus,
90% plus penetration with chat, just in terms of users,
MDAO or MAUDAO, like the MAUDAO ratio.
Like just in terms of users,
the ChatGPT app has been the runaway success in consumer,
but there are still nuances to how medical data is handled.
And so the vertical applications are exciting
and that's certainly driving this.
Yeah, so this investment will double Bridges valuation
from only a few months ago
and underscores the tech industry's interest.
It's crazy that this is the first time
I've hearing about this company
and it was at a 2.75 billion valuation.
Like, that used to be when a company makes a unicorn,
like it is big tech news, it breaks through that day.
And now it's like, okay, call us when you're at 10.
Yeah, so Abridges CEO Shiv Rao,
a cardiologist turned founder, said earlier this year that part of his motivation
to start the company was that his handwritten notes
from patient meetings were often illegible.
This inefficiency also made billing and summarizing
patient interactions a nightmare.
You end up feeling bad about yourself,
Rao told Bloomberg in an interview in February,
everybody ends up losing.
What's been a game changer is that with Abridge,
you just walk in the room, have the conversation
in your present, making eye contact, which is very cool.
Found in 2018, wow, even pre-Chat GPT,
they've been working for a long time.
The company initially struggled.
Rao faced a wave of skepticism from his healthcare peers
and doubts about the efficacy of AI tools.
There we go.
At one point, Rao feared the company's heartbeat
was getting more and more faint.
Then came ChatGPT and the rapid progress
in the capabilities of generative AI tools
and a bridge became an overnight success.
Six or seven years in the making, he said, let's go.
I love it.
Since then, the startups have read more than $400 million
in venture capital funding as investors
race to back application layer AI startups
that make language models like OpenAI
more useful for doctors, lawyers, salespeople,
and other professionals.
Earlier backers include IVP, Allod Gill, Spark Capital,
Bessemer, Union Square Ventures.
Good to see all of those people finally having a...
Yeah, it's good to see a lot of us getting in a deal.
Getting a seed to unicorn.
Yeah, exactly.
You're always rooting for them and hoping that they'll come from behind and make something happen.
And they did.
Let's move on to David Holes.
He says, at SpaceX, I saw oxygen snow in zero gravity.
I saw methane bubbles shimmering like crystal glass and liquid oxygen swimming pools that
ripple like silk.
I remember sunset plasma vortices flickering through compressed data streams at Mach 25.
Pink, you think it glows on its own,
but really it is in celebration for those who hurdle
monuments through the sky with dreams of
earthly beauty everlasting.
Wow.
It's so amazing.
He's like, little poetry.
He's, yeah, I mean, he's clearly like like writing in a way that like you know
the LLMS cannot he's like flexing yeah that's the way I see this but it does
seem like he got a he got a pretty incredible tour of of SpaceX and
probably got to hang out with Elon and talk about robots and all these
different world models and how mid-journey can you know partner with
that and whatnot and all the cool things that he's doing.
The interesting thing about Mid Journey and David Holes
is that his methodology is,
obviously he's very like scale-pilled, very AI-pilled,
but he's not trying to build the average image
of what's on the internet.
He's just trying to make the images look good.
And so he's bringing this like artistry to the process and and that leads to
like a particular mid-journey look that can be seen as
Well, this all has the mid-journey look but like he's happy as long as like the mid-journey look is good
I think so interesting interesting way anyway
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Make them figma and just publish it. It's pretty great. Oh, this is hilarious
so I think wait was this just a few days ago Sahil from
from Gumroad tweeted,
if I give you one million and you give me the one million back, we'll both be at one million ARR.
And Steven Tay says, no freaking way,
someone actually did this IRL.
And it's a story about Builder AI.
So this company Builder AI just shut down.
Oh, rough.
They faked business with Indian social media startup
Versi Innovation for years to falsely inflate its sales.
And yeah, so basically, they'd just be like, hey,
we're going to sign up for a $50 million ARR contract with you,
and then you're going to sign up for the $50 million ARR
contract with us, and we'll both be at $50 million of ARR,
even though it just wasn't real.
So anyways, unfortunate.
Steven Tay here, very savage, tagging both companies.
That is pretty savage.
That's rough.
Anyway.
Yeah, they say in many cases, products and services
weren't actually provided to either company
for these payments.
Oh, OK, so it's just completely fake.
There was a contract and then there was a payment, but it was effectively the same amount.
Sounds like they adjusted it slightly.
Because there's always been this take, kind of going back to the dot com boom,
around how a lot of the dot com internet providers were selling to fast growing internet companies
and they were doing equity investments
and then the money would flow back to the telecom provider
and it was pretty circular
and created a little bit of the bubble narrative.
And people were always saying that about Nvidia
and the big tech companies,
but it's very different when yes,
Microsoft might buy Nvidia GPUs and then NVIDIA might buy Microsoft
Excel licenses to run their business, but both of those are clear value creations and
they're independent contracts and so it's very much more like arms length.
Yeah, the other thing is if a hyperscaler is investing compute into a startup.
The startup isn't, they're getting investment dollars
spending that back with the hyperscaler.
They're not necessarily like using,
they don't use new investment to drive new investment, right?
In the same way that like, if the hyperscaler was spend,
had a contract with them and they were sending it back,
it's, that's quite a different situation.
Yeah, much tricky, much much trickier.
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Makes me want to hit the air horn
like automated compliance, John.
I love it.
Yeah, I think you threw this one in here.
Andrew Huberman talking about the health indicator
that no one talks about, the strong desire
to work and build things, whether for the intrinsic love
of the work, the rewards, or both.
Yes, we need sleep and some need recreation,
but drive is at least as important as any other metric.
Basically grindset number one biomarker to be tracking.
I completely agree.
And I think that we asked Brian Johnson about this.
And we said, Warren Buffett is in the news
because he was stepping down, but had a phenomenal run,
particularly from age 65 to 90 something.
Those were some of his most productive
and consequential years of his career
when most people spend those in retirement.
And so, and also he drinks Coca-Cola
and eats these candy and eats McDonald's and whatnot,
and doesn't do biohacking, right?
And yet he seems as healthy as you can possibly be.
And Brian Johnson was kind of like, oh, well,
like he's like, you know, like a single outlier. But I was talking to somebody else and they were like, well,
like, but Charlie Munger had like the same diet. Like the person was like, I went to
dinner with Charlie Munger and he had like five glasses of wine or like ate the steak
and like ate all this stuff. And so I think that yes, like a life's work is it's not that
it's a complete replacement
for a healthy lifestyle, you should do both for sure.
I think it's that the human spirit
can overpower its environment and inputs.
Yeah, there's some physiological
or biological explanation for this,
the whole idea of the-
Being built different.
Yeah, being built different.
But no, I remember you hear about the mother who lifts a car to save her baby, idea of like the being built different being built different but no like yeah
remember you hear about like like the mother who lifts a car to save her baby
yeah like that's kind of apocryphal but it's also like in an intense moment of
stress the body can send a signal to to really like refocus and kind of like
you're basically just like shifting around all the energy in your body to
like fight this one thing,
whether it's like strength or focus or something.
And it appears that the brain works pretty similarly.
There's some interesting case studies
where traumatic brain injury victims,
like they'll get hit in the head and they'll become savants.
And so they'll be able to remember
every single word in a book.
And it's just like, why is that?
And I think what, and it's odd because-
Don't tell David Center that he's gonna hit himself
in the head.
No, but the question is like, if we have that ability,
why didn't we evolve to do that?
And it's because we're actually fine tuned,
not on just pure recall, although
it's extremely impressive when you can see someone who's not as valuable as it's not as valuable as
compression and and synthesis of information across different domains. So you actually don't
need to be the memorizer to really win in our society, but we do have the ability to do an
immense amount of rote information. And so there's certain brain treatments and like effects in the brain that can kind of shift
the focus and like the output
and the performance of your body to something.
And so you can imagine that if you're like incredibly driven
for what you're doing,
your body kind of sends these signals that like,
hey, we need to be on top of the game.
We need to fight back all the bad stuff and deal with the end the stream of Coca-Cola
that's coming into our organs anyway very very fun post by Huberman anyway
Dan Primack has an announcement that Mary Meeker is back we covered her on
the show early on we did a whole deep dive based on her fantastic profile the
New Yorker Mary you're always welcome on the show.
She has a new Trends report.
This time it's focused on artificial intelligence.
It's over at Bond Capital.
Remember, Mary Meeker was on Wall Street,
sell site analyst for a very long time.
The dot com whisperer then went to Kleiner Perkins,
eventually spun out and is running a growth equity fund
called Bond Cap.
And Ev Randall worked there, former friend of the show,
or former guest on the show, current friend of the show.
And people are being spicy in the comments.
This is the most sell-side thing
a sell-side person has ever done.
Bad day for left-aligned text fans,
I guess because the deck is centered or something,
but we can share some of this
and we can go through some of these.
Yeah, why don't we go through the outline first.
So this is for the first time.
Yes, coordinating with some of the guests.
So for the first time,
I'm going to be hopefully driving this.
We'll see, hopefully this will work.
And I don't dox my private keys.
I don't have private keys on here.
So trends in artificial Intelligence from Bond.
Good name for a fund, Bond, James Bond.
So of course he worked with his team.
And there are some charts.
He has crazy aura despite not even being overly designed.
It's just when Mary Meeker makes a deck,
people pay attention.
It definitely has like classic Wall Street investment bank
aesthetics.
Wait, so why don't we start with the outline.
I'll read through it.
OK, sure, sure.
First section, seems like change is
happening faster than ever.
Yes, it is.
Second, AI users plus usage plus capex growth is unprecedented.
AI model compute costs are high, rising,
plus inference costs per token are falling.
The performance is converging and developer usage is rising.
None of this stuff should be too much of a surprise, but.
Yes, but they've all been kind of like vibes and whispers
and hot takes issued on Dwarkesh's podcast,
but now we have kind of like the Wall Street
interpretation of the same trends,
and it's instantiated in data,
which I think is very fascinating.
And so we'll go through some of this.
Seems like change is happening faster than ever.
Yes, it is.
Developers in the leading chip makers ecosystems,
the number of developers has started absolutely
mooning to over six million
a plus there this is
Why wouldn't she just call this Nvidia?
Well, so this is this is developers on top of Nvidia. Yeah, so you can think about this like CUDA engineers essentially
People developing on top of Nvidia as opposed to like more more abstract and and from 20 2005
I still I still was just curious if there's like a reason if she didn't want to call out on top of Nvidia as opposed to like more abstract. And from 2005.
I still was just curious if there was like a reason
if she didn't wanna call out.
Oh, oh, why'd she say, oh.
You could say developers and Nvidia.
There are so many of those, just you wait.
There are so many of those weird like,
she doesn't wanna say this
or she's saying this instead of this.
A lot of it's just like Wall Street parlance, right?
But.
So this is okay, she's doing it everywhere.
Leading USA based LLM users.
Yeah.
Rocket up to 800.
There's obviously OpenAI.
It's literally the OpenAI chart,
and it's funny because Co2, I believe,
put out a similar report, which we can maybe go through,
but they just say OpenAI,
and they have Sam Alton's face right next to it.
But yeah, so ChatG GPT obviously grew very quickly,
but just this year, they doubled from 400 million
to 800 million, it was this huge, huge, huge spike.
The question is always the monetizability of those users
because as large internet companies
eventually reach saturation, the incremental value
of the next billion
Decreases a lot right because you're getting into developing nations and there's less propensity to spend the advertising dollars go further and
Realistically, there's just lots of countries where you can't sell 200 200 dollar a month subscription
Yeah, or even 20 or even 20 and so AI user plus usage plus capex growth
is unprecedented.
Internet versus leading USA based LLM,
total current users outside of North America.
And so the internet share of total current users
kind of grew slowly and you can see that LLMs came out
and they started at 50% of internet users
and rocketed to 90%. And this is a big part of the AI
narrative that we already have the internet like the like the it is the world's the greatest distribution engine in history
Yeah, and you know, uh, like bits bits move faster than atoms
Yeah, and even though the internet was a bits movement
It it it was bound by atoms in the sense that you had to put pipes in the ground
and you had to make and sell phones
to get the penetration up.
And now when you're leveraging on top of that,
you actually, it's like, open AI might build a device,
but they don't have to to get on 90% of,
to get 90% penetration.
This is a funny one, you're gonna love this.
So AI user plus usage plus capping growth is
unprecedented. The big six USA technology company capex big six.
That's what people say about big tech. They don't say Magnificent seven.
Yeah. Big six. And they and she so it's Apple and video Microsoft
alphabet Amazon adbs only and metaTesla, just writing Tesla out of the Mag-7
to create the big six.
And normally you might say, okay, well,
it's like a car company, but Tesla has an AI division
that is like a scale-up.
They're aggressively.
They changed the name of their self-driving
or economist to Tesla AI.
To Tesla AI.
Exactly.
So a little bit odd, and maybe you should put that.
Maybe Tesla isn't investing at the same level
as the other big six, I suppose.
But it's still just funny to coin kind of like a new term.
But obviously, CapEx is increasing very quickly.
And we track that during earnings to see that.
I mean, it's really just like a few of the hyperscalers
that are driving this.
But there are multiple big tech
companies that are investing at the $60 billion a year range
now.
So total capex is over 212.
Tesla's total capex for 2025 across the entire business
was projected at just $11 billion.
So not just a footnote.
Google, which is spelling like.
Google, Microsoft, and AWS are all in like 60, 70, 80 range
billion.
Yeah.
Got to get those numbers up.
CapEx for ants.
I mean, it is when you think about the CapEx that
goes into a car plant as well.
That's definitely significant.
That's what I'm saying.
But at the same time, Elon's getting this sort
of off-balance sheet with XAI.
Yeah.
And so there's trends in declining cost of inference.
This is interesting.
72 years that you can see the cost curve here.
So the cost of it, it's kind of an odd metric here
because we're talking about AI inference cost, which was so high to begin with. It's kind of an odd metric here because we're talking about AI inference cost,
which was so high to begin with.
It's kind of apples and oranges,
but basically electric power went through this
pretty slow driving down the cost over time.
Computer memory fell off on more of a asymptotic curve,
and AI inference is just basically a line stripped down
as it got incredibly cheap.
Let's go.
And monetization threats, rising competition, open source momentum, China's rise.
China's obviously growing in LLMs, but interestingly, it seems like it went way up from 0% penetration
in February of 2024.
By February of 2025, had grown to maybe 10%, but then had fallen.
Or maybe it was even higher maybe
15% and then it has fallen so the pushback against deep seek is maybe
working interesting China versus rest of the world here yeah yep I don't know
where else we want to go with this yeah AI monetization threats equal rising
competition plus open source momentum and China's general rise.
But you can go through the whole thing. There's a lot to dig into here.
Global GDP, the computing cycles over times, the AI era.
It's interesting, it's all focused on just telling a story
almost to like the public markets.
Yeah, this one's interesting.
AI and physical world ramps equals fast plus data driven.
Doesn't really say much, but they're
charting a ride share versus autonomous taxi provider.
So this is Lyft versus Waymo in the San Francisco operating
zone market.
And so you can just see Waymo really running away
with the market.
I was over by LAX yesterday, and I saw like five Waymos
all in the same block.
And they're really dominating LA now, too.
They're everywhere.
It feels like they're every 10th car.
Yeah.
I mean, it makes sense.
People prefer them.
Like, it's a better product.
Yeah, I was barbecuing with a buddy last night,
and he was like, yeah.
I was, you know, I was,
I watched this Waymo, pole was parked in a red zone
and then just like ripped out and ran a red going left.
And he was like, yeah, like, you know,
it was me, I sort of don't fully trust them right now.
I'm like, you drive around LA?
That's like normal moves for people in LA.
Like, you know, there's people that go out
and they're like, I am gonna break
a lot of traffic laws today.
And they just do that.
So it's like, it's not great that,
yeah, it's not great, but coming along.
I, yeah, I was talking to a friend who over the weekend,
who's been saying that Waymo is completely cooked for a long time,
and now he's like, no, Waymo's gonna be fine
because apparently there's one guy at the company
who's just insanely cracked and is basically
solving all the technical problems.
And so he's like, yeah, I'm actually kind of bullish on it,
but he still maintains that it's pretty,
it's still heavily human in the loop.
that it's pretty, it's still heavily human in the loop.
You think it's not, the AI is anonymous Indians? As Navola would say?
Kind of.
He says that, I think the number he quoted was,
I was like, so he was saying like,
it's not remote control in the sense that it's like,
hands on the wheel, right?
It's not like somebody's remote control driving like it's a video game
But they are watching a screen and then they can press a button to like be like, okay break or like go around or like
Throw the warning lights on or like, you know, okay. This is fine or I'll draw on the screen
It's like they they can intervene very easily
But well, I think I said this maybe last year early this year if you're Waymo
It's worth five dollars an hour to have somebody
Exclusively focused on the one car. Yeah to not you don't have that many disaster. Yeah
Yeah, and so and so apparently the ratio of like support humans to Waymo's is less than two
But more than one. Yeah, and so they've proven that it's not fully just one-to-one,
but it's close.
I think it's like 1.7 or 1.4.
They kind of need to make it not one-to-one.
But even I think that pure teleoperation is cool.
Totally.
I would love to be able to pay somebody $5 an hour,
$10 an hour to drive my car.
Yeah, it's also funny because it's like,
everyone kind of knows that this is happening,
that there's some sort of teleoperation involved at least.
And most people who understand it at that level
think it's a good thing.
But then you'll see like a headline about like,
oh, it's actually like anonymous Indians or whatever.
And it's framed as like a bad thing, which is very odd.
But I've always felt like maybe Google is like keeping it
as an ace up their sleeves in case there's more pushback on
Yeah, like oh this way most too risky then they can say well actually we do have a human loop
We didn't even tell you but like we were even safer than you thought we were
Yeah, so like you should or maybe they tell it to regulators behind the scenes to say hey
We're really but that also presents like a whole other set of problems which are okay
Do the tele operated people need to get,
do they have international drivers license?
Yeah, I have no idea.
Well, they might not be international.
They might just, they might be in the San Francisco area.
That's true.
Or they might be, yeah, at Waymo HQ or something.
Or Vegas, I mean, we fly the drones remotely from Vegas.
I just think we would have had one of those people
leave already and be like-
Whistleblow?
Yeah. Maybe.
I don't know.
Maybe the exit package is too delicious.
You just can't get out of it.
Too delicious.
I don't want to give up on that sweet...
This was an interesting slide for a few reasons.
260% annual growth over 15 years of data to train AI models led to an absolutely exponential increase
in the size of training data sets,
which feels less important now
that we're in the post pre-training era, I guess,
but you know who's up here right at the top?
Aramco Metabrain AI.
I love that Saudi Aramco just trained a massive LLM somehow.
It didn't make it to my news until this moment.
But there's a whole bunch of these here
and you can kind of see that the curve is changing.
But then at a certain point,
you run out of tokens on the internet.
There's some interesting stuff.
Like all of GitHub is, I think like 10 million tokens
or maybe 100 million tokens,
like it's just not that big of a data set.
And there's pretty massive data sets
you can get off Hugging Face
that is like almost the entire internet
that's like 44 terabytes to put in a contact,
which you could get like a 50 terabyte hard drive.
Yeah, and so I was talking to some folks about,
is there a world where, what we're seeing with VO3
and Google's cornered resource,
which is the YouTube data set,
could something like that happen with Microsoft
that owns GitHub?
Because they have the best code data set in theory.
And they were just like, well, it's not that big of a data set.
It's already been exfiltrated.
And so plenty of people have all of GitHub
just saved locally, basically.
And so it's not as much of a corned resource as like very,
very few companies have been able to scrape all of YouTube,
even if some have maybe tried to do stuff here and there,
it's clearly not the same as the resource that YouTube has.
What else is interesting in here?
I mean, we could go through other stuff,
impact of improved algorithms on AI model performance.
This is the classic like chinchilla scaling laws.
Just kind of breaking down all the different trends here.
But let's go back to the timeline.
And let's do the more advanced.
Back to the timelines.
I think so.
Is there anything else you wanted to talk in here?
You're really hitting Mary with the boring?
No, there's just a lot in here.
And I don't know if we have enough time
to dig through each slide.
Yeah. We should have her on to dig through each slide. Yeah.
We should have her on to give us the highlights.
Yeah, we should have her on.
This is pretty interesting.
The AI milestone timeline.
I've covered this before.
But 1950, Alan Turing creates his Turing test
to measure computer intelligence,
positing that computers could think like humans.
In 56, Stanford computer scientist John McCarthy
convenes the Dartmouth Conference
on Artificial Intelligence, a term he coined,
great coinage, artificial intelligence.
Arthur Samuel, in 1962, an IBM computer scientist
creates a self-learning program that proves capable
of defeating a top US checkers champion,
precursor to chess stuff.
1966, Stanford researchers deploy Shaky,
the first general purpose mobile robot
that can reason about its own actions.
Then there's an AI winter that goes from 1967 to 1996.
Unclear these AI winter narratives
because that was like the craziest moment.
Space winter.
Uh, true.
But also-
More of a moon landing winter.
Yeah, I guess.
But there was an incredible amount of underlying technology built in that period that was directly
correlated with artificial intelligence.
Even if you just go back to linear regression got faster during that period of time. Computers got faster. This was
the era of, this is like the rise of Intel, like Nvidia was born in this
winter. And so the AI winter narrative is always a little bit odd because
you can always go back and draw a pretty smooth line after the fact, but in the
moment it feels very flat. But anyway, the AI winter ends with Deep Blue in 1997.
IBM's chess-playing computer defeats Garry Kasparov, the world chess champion at the
time.
In 2002, Roomba, the first mass-produced autonomous robot vacuum cleaner that can navigate homes
is launched.
I didn't realize Roomba has been around since 02.
02, it's a vintage robot.
And now they got some competition with Matic.
Yeah.
The Matic founder came on,
he sent us some cleaning robots
and they've been working wonders.
It's actually crazy.
Toby Lutke was posting about it too.
Yeah, Toby was posting about it.
It's amazing how my children have completely welcomed
the robot into the family.
Like they say, hi, Matic.
Really?
Like they chase it around while it's working.
It's like it's totally a member of the family.
That's incredible.
It makes me even more robot-pilled than I already was.
That's great.
2005, a Stanford team builds a driverless car named Stanley.
It completes a 132-mile mile course winning the DARPA Grand Challenge
That of course starts the the great rivalry
And we'll get excited about we'll really get excited about Waymo when it can win LeMans. Yes. Yes, like just 24 hours
Waymo has so much money. They really should get an F1 team. Yeah, it would be amazing
Yeah, and just be amazing. Yeah.
And just be like, yeah, there's still a driver in there.
We just bought some random team, and we're
winning because we're putting a lot of money into the car.
Imagine an F1 race, but it's like a roller coaster.
So you're not actually driving.
You're just experiencing the insane.
Oh, yeah, yeah, yeah.
I think it would be deeply uncomfortable
if you weren't properly trained.
For sure.
2010, Apple acquires Siri voice assistant
and integrates it into the iPhone 4S model one year later.
2014, Eugene Guestman, a chat bot,
passes the touring test with one of three judges
believing that Eugene is human.
Wow.
Wow.
I thought we didn't even get close.
I mean, that doesn't feel like passing.
I thought passing would have to be greater than 50%.
So I don't know about that exactly,
but I thought that the Turing test was basically
impossible right up until GPT-3.
But I don't know.
I guess they were doing some good stuff back in 2014.
I'm not sure everybody has a different definition of passing.
Yeah, they never really had an official organization body,
like an Olympics of that, like some recognized,
like we will be the ones to do the touring test on everything.
It's always just been like a philosophical test.
2018, OpenAI releases GPT-1, the first of their large language
models.
2020, OpenAI releases GPT-1, the first of their large language models. 2020, OpenAI releases GPT-3,
an AI tool for automated conversations.
Microsoft exclusively licenses the model.
Yeah, that's a good summary of the Microsoft relationship.
And then in 2022, OpenAI releases ChatGPT to the public.
And let's go.
It became a fantastic consumer product.
Yeah, I'm interested.
I actually, now that we're here, I want to see the entire,
so this is the timeline from 2023 to 2025.
So this is 70 years here on this slide,
and then this is three years.
So OpenAI in March 23rd of 20, or sorry, March of 2023,
OpenAI releases GPT-4 multimodal model
capable of processing both text and images.
Same month, Microsoft integrates Copilot
into its 360 degree 365 product suite.
I remember that day.
I remember exactly where I was.
It was, you know, I just could.
It will echo in history.
It will echo in history.
You know, the funny thing is that it actually would have,
if they did Clippy that day.
If they had been like, we're bringing back Clippy,
and Clippy is good.
And he's now God.
Yeah, he's God.
It's also so funny with the paperclip narrative.
You know, everyone's like, oh, paperclip it.
So this feels so long ago.
So that same month, Google released BARD,
its chat GPT competitor.
Hello, BARD.
You don't hear about BARD much anymore because it was rebranded to do
Same month anthropic releases Claude its AI assistant focused on safety in
Interoperability, yeah
Late a few months later in November 28 countries including the USA you and China sign the Bletchley
Declaration on AI safety.
Sounds dramatic. Of course. The conclusion was that they want it to be safe, not dangerous.
Yeah. We all agree. Which I think we can all agree on. March of 2024, the US
Department of Homeland Security unveils its AI roadmap strategy. I don't remember that at all.
It's hard to say that that was one
of the most consequential moments of the last few years.
Lama 3 was though.
April, 2024, Meta Platforms releases its open source
Lama 3 model with 70 billion parameters.
This is so funny.
So there's two stars after the open source.
And if you're in tech,
you would think that the stars would indicate like,
oh, well the difference between open weights
and open source code and open data set, right?
Like that's the nuance of like open sourcing and LLM
and also like they did open source it
but they set this limit where the other hyperscalers
couldn't use it.
What does the, what does this?
It says open source is AI models and tools
made publicly available for use modification
and redistribution.
So that's who this, I mean, this is again, this is
just very, yeah, very, very oriented towards the East Coast,
specifically the world of finance.
But we love the world of finance
and they gotta get up to see all this stuff
because they're gonna be able to invest soon
in a lot of this stuff, if they're not already.
So they gotta learn.
So May of 2024, a year ago, OpenAI.
It's so fast.
Things are moving quick.
OpenAI releases GPT-40, which has full multimodality
across audio, visual, and text inputs.
Same time, Google introduces AI Overviews
to augment its search functions.
This is actually very important for Google,
because that product has grown super, super fast.
Yeah, and I will say now, I've got to give them some credit,
that I use AI overviews.
Totally.
Because when they pop up, they're usually very effective.
And they do hallucinate, and there's ways
to jailbreak them and stuff.
But that's accepted.
But if you're not trying to do that,
you can get a pretty good experience.
I did see a hilarious UI mockup that was just,
Google has the opportunity to do the funniest thing ever,
and it was just go all the way back
to the original Google search bar,
but just have it be a Gemini text box.
And so it was the same aesthetics as the original Google,
but it would just be a text box
that you would put the Gemini,
and it would say,
do you wanna think, upload PDF?
What model do you wanna use?
And then it would be like, send.
And so it would just be, actually you go to google.com
and you just get Gemini, which would be aggressive,
it would destroy a lot of the revenue in the short term,
but who knows, maybe it happens at some point.
At least it would be interesting if it happened
like on a per user basis
Like if they know that this user would retain longer and actually be better monetized by by seeing a Gemini prompt
They could serve that to you because they have like an advanced search product now that you can kind of like opt in or out of on google.com
But I think if they knew if the PM's search product now that you can opt in or out of on google.com.
But doing that dynamically.
If the PMs really knew how much we love big tech,
they would start to experiment with us more.
Because they know we'd give them a chance to really iterate,
improve.
We're not going to just try something and churn.
I would never churn off Google.
Out of respect.
Anyways, Apple on July of last year
releases Apple Intelligence, an AI system integrated
into its devices for development.
Is that when they released it?
I thought they announced it then and then released it
over the next four years.
Well, I think it was available in beta.
It wasn't fully released until they released the new iPhone.
Yeah, it was delayed.
On September of last year, Alibaba
releases 100 open source Qwon 2.5 models
with performance in line with Western competitors.
Will Brown, big fan.
Yep.
Loves all the different research models.
Big Qwon guy.
Big Qwon guy. Andves all the different research models. Big Quinn guy. Big Quinn guy.
And then December, OpenAI announces 03,
its highest performing model.
Ever.
And then-
The reasoning model.
We basically are in the present now.
DeepSeek at the beginning of the year.
Yeah, DeepSeek.
And yeah, DeepSeek, I guess that was-
That was really kind of the DeepSeek moment for DeepSeek.
Yeah, it was.
DeepSeek released R1, r1 r1 0 open source reasoning
models and yeah the oh three versus r1 moment was really crazy because r1 was
so free and accessible and oh three was like really pay wall gated and so a lot
of people's first interaction with like reasoning models was r1. And so OpenAI had to fire back very, very quickly.
Also, Alibaba unveiled Quen 2.5 Max,
which surpasses the performance of other leading models,
Claude 4.0, Claude 3.5, GPT 4.0.
On some reasoning tests, OpenAI releases GPT 4.5,
Anthropic releases the Claude 3.7 Sonnet, and then
ChatGPT reaches 800 million weekly users.
Let's hear it for ChatGPT.
I mean, that's just, it seriously
is unprecedented in so many ways.
Yeah.
10 years from now, some kid will be
raising, trying to build a research company
And they'll be like well opening I started as a research lab and became a consumer internet hit like
Absolutely wild
Anyway, there's a ton in here. We could go through back to the timeline. Let's go back to the timeline
stop sharing
We got a post from Dennis.
Demand for VO3 has been off the charts.
Millions of videos have been generated
in the past few days alone.
Now available on mobile and in more countries,
including the UK.
So the funny thing here with the timing of Mountainhead
is that the entire plot of Mountainhead
is based on a VO3-like product being so good that people can't
tell the difference and it causes global chaos. It feels like VO4 will be that good. Well, it
depends on the rate limits. That would be an important plot device. Well, that was part of
the plot. It was like people were saying you need to contain it more and he's like oh the metrics are so good sure sure yeah but I I don't think the
vo3 is causing global chaos with the I did I did go I thought briefly I mean I
had seen the movie Saturday night and then Sunday I saw some of the protests
happening in Paris mm-hmm and I did think for a second, this could be,
it's shaky video, there's a lot of chaos,
smoke, it's at night.
If I just glanced at it.
Yeah, I always just wonder how important is fake video?
Because there are so many other tools for misinformation
that have existed for decades.
So just lying in text, like instantiating fake text
has always been possible, right?
Photoshop has existed.
I made it up.
I made it up.
Also, I mean, one of the classic misinformation things,
especially during like riots and times of-
That's misinformation.
During a lot of these like protests and different moments is they will just take a photo or real video
from three years ago or from a different location
and be like, look, like this is, you know.
Or another classic.
This is the Los Angeles fires.
And you're seeing like a wildfire
from like Montana or something. Yeah, or you just do a freeze frame or it's an image yep
and then you write text that supports exactly there's so many different tools
in the misinformation tool chest like I agree that that do three and generate
video will be one but it will very quickly you know turn into okay well
like I need to I need to treat this video
just like I would treat just like a block of text
or like a screenshot or an image
that could have been Photoshopped.
Yeah, I mean, it is gonna be a very interesting question.
I mean, we were talking with a friend of the show
and he was like, the worst part of Mountain Head is that it's real this idea that like tech you know the tech elite isn't real or is embellished in different ways.
And anyways, speaking of social media,
we have a meme from Eddie Kwan.
He says, I often think of this.
And it is a woman saying, thank you for ruining my life.
And it is the Instagram octopus saying,
I'm literally an algorithm designed
to maintain your attention by learning from your behavior and
Mirroring back that which consciously or not captivates you and the social worlds through which you move I am literally one of the most fascinating tools for collective and personal shadow work ever created
That is only if you can learn to recognize that you aren't disturbed by social media. You're disturbed by your own reflection. So
What does it mean that my Instagram Explorer page is entirely bodybuilding content?
And golden retrievers.
Yeah, I think it's my own reflection.
So it's saying, like, I could be a generational bodybuilder.
Yeah.
That's what I potentially am.
And I've told you that many times.
Yes.
I've told you that many times. Elite level genetics, fantastic insertions. That's the only thing that if you said I'm gonna quit the show
I'm gonna be a bodybuilder father. I would be like, yeah
Yeah, yeah 100% exactly. It's that in super cars and watches. It's really so ridiculous
Anyway Let's let's do it out for linear.
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and building products.
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streamline issues, projects, and product roadmaps.
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Yeah, we're excited.
Antibiology says, gave a talk at Edge Esmeralda on the scientific history leading up to Ray
Pete today.
Going to post soon.
Stay tuned.
Very excited.
I think I included this more as a mental note.
I want to do a deep dive on Ray Pete just because he's influenced so much of
a lot of the current thinking around health.
And we should have anibology on.
Yeah, we should have a few different people
in that space come on while we do some deep dives.
Yeah, exactly.
But I met anibology at this event last year.
Cool. Friend of Justin last year. Cool.
Friend of Justin Mares.
So yeah.
Oh, back to Mary Meeker, buko capital bloke.
Says I asked Gemini and Chachapiti
to construct a portfolio based solely
on the new 300 plus slide Mary Meeker AI trend report.
Here were the results.
Who do you think wins?
And so we have Gemini says 15% Nvidia,
10% Microsoft, 10% Alphabet, 9% Amazon, 6% Meta,
key enablers and differentiated AI leaders.
They got TSMC, Apple, Tesla,
growth in AI apps and infrastructure,
Salesforce, Oracle, Palitix.
It's very interesting that you're-
Pretty good company, I don't know,
this seems interesting to me.
What do you think?
Waiting Meta at 6%.
That does seem low.
But again, it's like all of the,
I mean, there's some stat where like the Mag-7 grew revenue
at something like 30% annually over the last like two quarters
and the rest of the Fortune 500,
if you average all of them up,
they grew at like 5% or something, 8%.
And so like, yeah, yeah, you can say like,
yeah, Meta feels underweight there,
but you gotta take it from somewhere because you,
you know, like every point you're taking from,
you're adding to Meta has to be out of Nvidia,
and that's a great company,
or out of Microsoft, and that's a great company.
But yes, I agree, I would agree with you.
Very interesting.
Anyway, let's go through a real quick overview
of what we're about to talk to our first guest about.
The Trojan truck, how Ukraine just made nowhere safe
across 400 kilometers.
We should have had Pat on the show today.
We can do it tomorrow or something.
Across 400 kilometers of Russian territory this morning,
delivery trucks completed what looked like a routine stop near five Russian air bases these
Trojan trucks with cargo containers disguised as garden sheds opened up upward to release clusters of first-person view
Quadcopters into the bright morning sky minutes later the over 40 aircraft were burning including irreplaceable strategic bombers
That form a core component of Russia's nuclear triad.
Wait, so they released this image.
This had to have just come out of...
This is like where they prepped, I think.
Yeah.
I think it's like...
But it's an interesting dynamic for Ukraine to be like marketing to the world.
Totally.
Totally.
To show, hey, we did this and we're giving you enough to actually tell the story completely
because we want to send the message that we are elite.
This whole plot is extremely crafty.
It is, for sure.
Well, we have a great guest to discuss it with us today.
We have Sorin from Niros, who builds drones
and has been to the Ukraine.
And so we'll bring him into the studio
and ask him how he's doing.
How are you doing?
There he is.
Welcome.
Great.
How are you guys?
We're good.
We have a new soundboard, so expect some wild cards.
Wild stuff.
But yeah, we missed you on Teal Felidae.
I hope you're doing well.
Maybe you can kick it off with just a brief overview
of what you're tracking in the news.
I mean, we just covered this incredible Ukraine operation.
What information, how are you processing it? Let's have him do a quick one minute intro
for anybody that didn't hear him the last time
and isn't familiar with your background.
That's great.
Yeah, absolutely.
So I am the co-founder and CEO at Neuros.
What we're doing here is building
massively scalable defense systems, starting with drones.
My personal background is I was a professional drone racer
for a long time.
I've been building and flying FPV drones,
first person view drones for about 10 years.
Competed with Team USA, won the world championship,
started a company in drone racing,
and then got really, really pulled into defense
a couple of years ago.
And now Neuros has been around for about two years.
I've been over to Ukraine many times.
We have a lot of products deployed there
and we are now the highest rate drone production line
in America.
So we've been really trying to ramp production,
looking at what the Ukrainians are doing
and taking a lot of inspiration.
And how much of the drones right now are FPV
versus fully autonomous?
Is that an important distinction for what you're building?
Yeah, it is an important distinction, although the line is starting to get more blurry.
The vast majority are FPV.
And in Ukraine too, the vast majority of drones in general are FPVs,
and the vast majority of those are completely manually piloted.
I had no idea that you started a drone racing company before this.
Did you ever get that to scale
or was it still just like bench top?
I remember the first time I saw your facility,
you were kind of hand assembling.
It sounds like now the supply chain is much more robust,
but what was that early experience like?
Yeah, so the company,
it's actually still operating primarily.
We were focused on, at the beginning,
we were focused on building the materials for race courses. So there wasn't a really good place to go for serious racing
pilots to buy like the gates or what they call what you actually fly through. So this
is a lot of actually working with the Chinese, industrial base, figuring out where we can
go to get these better materials.
And then a lot of the arbitrage was actually in the shipping, figuring out how to do shipping
all over the United States of these very heavy items without driving the cost super high.
And then we moved into other types of components.
We like to collaborate with kind of the top racing pilots in the world.
So we make like frames and motors and other things that are really tailored to the needs of the best pilots.
But it's still operating.
I've passed it off now, but it was a really good experience.
Also to see how easy it is to go on Alibaba
and get something done in a matter of weeks.
Basically like zero to full product in a matter of weeks
versus working with US suppliers
that would maybe
Maybe get you a sample. Yeah, those gates are somewhat tech enabled, right?
Because I've seen like the LEDs on them and do they actually have a sensor that can tell if the drone went through the circle
So they do that's usually on the kind of hobbyist setups
That's that's more on the like just start and finish gate and it's a separate system
Our ours were purely just a fabric
But that is a key part of it as well. Yeah, that makes no sense before we dive into the news
Specifically the news over the weekend
Could you give us a high-level overview of the history of drone warfare in Ukraine, because I understand it's been progressing
super rapidly on both sides, and it'd be helpful
to understand kind of the different stages.
Did they ever have like predator drones,
like the global war on terror type of drone,
or did they jump straight to quadcopter
and kind of like leapfrog the technology?
So, you know, you've had this Russian aggression war in Ukraine since 2014.
Obviously the full-scale invasion was 2022.
But even during that period before the full-scale invasion, there was some usage of drones for
surveillance and dropping explosives.
These are primarily still like small drones like what you're seeing now.
But this was not a proliferated technology.
Then when the full-scale invasion happened, within a few months, the Ukrainians started
thinking about all these ways that they could use inexpensive drone technology to get an
asymmetric advantage.
And that is where FPV drones started becoming a really, really big deal.
So they pioneered really this idea
of putting an explosive on a racing drone
and using that as a precision strike weapon.
There were instances of this happening in other places,
but they really scaled it and they've really refined it.
And then Russia was much slower to take it seriously,
although now they tend to, in some ways, outproduce Ukraine.
And they have a much more direct line
to China where most of these components are coming from.
But since 2022 and FPV is just starting to get used, now it's reached an unbelievable
scale.
It's estimated Ukraine is going to produce four and a half million FPV drones this year.
And those are ranging from ones that are this big to 15 inch propellers, fiber
optic controlled drones, many different types and sizes of warheads, different configurations
and I can talk more about the drones that were used in Operation Spiderweb as well because
those were really interesting.
But what we've seen is just this vast technology landscape where new clever ideas like fiber
optic are going
to be the hot thing for a few months. And then they sort of just become another tool
in the tool belt. And it's just this constant arms race.
Yeah. Talk about this attack was unique in a bunch of different ways, but is this something
that had been to your knowledge or just more generally known to be something that had been, to your knowledge, or just more generally known to be something
that had been attempted multiple times?
Or maybe like, I'm curious to know,
yeah, kind of the backstory on this type of attack.
Because it seems, it's a massive difference
to be using this technology way behind enemy lines
versus using it at the front line.
Yeah, so primarily FPV drones are used on the front line,
say the kind of 30 kilometer band across the zero line.
What was so unique here is that it was FPV drones,
short range drones being used 4,000 kilometers
inside of Russia.
It was this unbelievable application where you've seen the
Ukraine using long-range one-way attack drones that are going 1500 kilometers to strike targets
deep inside of Russia. But here, these were small drones actually driven in on trucks,
basically in the tops of shipping containers. And I don't know of any operations that were similar
to this beforehand. I think it was not something they wanted to give away. And the drones were
actually operating on cellular. They were not operating on local, like the normal low
latency local radios you use for FPVs typically. And so I think this is gonna be something
that a lot of people are gonna look at
and see if you have a drone that are operating on cellular,
you can't really tell them apart from cell phones.
That's really hard to defend against, really hard to detect.
But now it's going to be part of air-based defense
is thinking about drones that are operating on cellular
being piloted from basically anywhere in the world.
Yeah, talk about the Russian response,
the immediate response to this incident
from the footage that I saw,
and I think most people saw that tracked it.
It seemed incredibly challenging
to respond to it quickly, right?
By the time you could sort of organize a response,
a lot of the core damage had been done.
What do you think the,
the question I think that every country
is asking themselves now is how do you defend
against this type of attack,
whether you're at war like Ukraine and Russia are,
or you're just thinking long term?
Yeah, this clearly poses a massive threat
to critical infrastructure.
I mean, being blatant, the US does not
have any defenses in place that would
stop this from happening.
We already know.
There's already news stories about drones
that are flying over our Air Force bases,
and we can't do anything about it.
And I think the only approach here
has to be a multi-layered system where you're looking
at all of the different types of electronic warfare and also considering things like satellite
communications and cellular communications where you're basically able to turn those
off on the flip of the switch, which is a huge inconvenience and a huge thing to build
into the infrastructure,
but clearly that's going to be required.
Then you also need-
And you mean that just to drill down there,
you mean asking Verizon or AT&T or every cell provider
in a certain area to turn off cell coverage
because a drone took off, you know, is-
Or a fleet of drones.
Or a fleet of drones, but either way,
it's hard to tell if they're a threat or just you know
Some recreational use I mean, I'm sure many people on the internet will tell me why this is a very stupid idea
But when I think about this
it's
Clearly the Russians were not equipped to jam drones operating on cellular that is totally possible and we could have better cellular jammers
that is totally possible and we could have better cellular jammers, but if they had been able to recognize this threat and turn off all the cellular networks in that location, then it basically
would have stopped this operation completely. So that's where my mind immediately goes with something
like this. Do you think they had electronic warfare or radio blocking equipment set up at
that air base and it just, you're saying it wasn't functional?
Or is it possible that-
Or it wasn't for that particular band.
It wasn't blocking cellular.
It might've been blocking low latency.
I forget, what was the actual frequency for the radio
that you were using with the heads up display
that we were playing with?
It depends.
So that is the point.
So basically, you can actually see in the videos,
the drones take off and they have GPS
and once the attack starts, they lose GPS,
which means GPS is getting jammed, which makes total sense.
That's a common way of defending against
these one way strike drones.
So airbases are gonna already be set up with GPS jamming
and so is Moscow, so is Kiev, like that's common,
but they're not set up to just obliterate cell phone usage
on airbases.
And they probably do have jamming for,
control links in the 915 megahertz range,
video links in the 5.8 gigahertz range.
There's other common ones that are probably,
they're more well equipped to jam.
But I think what caught them so by surprise
was the use of cellular.
Yeah, I mean, we've talked about some of the different,
you said there was kind of like an ensemble approach
to stopping these types of attacks.
Walk through some of those,
because I remember seeing like,
oh, we're gonna train eagles to catch the drones,
or we're gonna just have guys with shotguns that shoot them,
or anvil drones, we're gonna just have guys with shotguns that shoot them or anvil drones or nets
or electronic takeover.
There's so many different approaches
and it feels like, at least in the US defense tech space,
there's a whole bunch of startups going after different
counter drone, counter UAS strategies
and it feels like there might be an ensemble one,
but what do you expect to kind of be the mix
or the roadmap or the tech tree that we go down
to kind of prep for defense against this type of thing?
First off, our strategic bomber
should be inside of hangars.
I think that would be a great start.
Yeah.
But as you mentioned,
there are these really basic things like nets
that do help against
FPVs, but that's not going to last very long, right?
I think you're going to see a mixed layer, especially with electronic warfare combined
with interceptors, combined with the sort of kinetic defeat like the bullfrog system
where you have an automatic machine gun turret that's able to shoot drones out of the sky.
The last line of defense is really guys with shotguns.
And that can actually work against an FPV drone,
but you don't want to be relying on that.
So I think it's one of the things that worries me the most
is that I've never seen a jammer in the United States made
by a US company that can reliably take out
FPV drones. And I think we're very, very far behind in the practical application of electronic
warfare, especially with these like local radios. So I believe this is a huge area where
we need to start investing dramatically and putting way more attention.
Yeah. Okay. So I want to walk through a little bit more of this.
You mentioned GPS gets jammed, then they're going over the cell network.
There's probably a way to provision like, almost like licenses to operate on the cell
network that might make it harder.
I imagine that they had to like, effectively like buy Russian SIM cards and set them up
in the drones.
But talk to me about the actual flight experience
of flying remotely over cell,
because I imagine that it's low,
it's high latency, low bandwidth.
So is this like, when you fly, it's remarkable.
It's like super precise.
I imagine this is a little bit more jerky
and a little bit slower.
And so you could probably take advantage of that,
but can you characterize the type of flying
that we might've seen if we were on the ground that day?
Absolutely.
So I spent a lot of time looking at the flight videos
and the pictures of the FPV drones,
and these are not normal drones.
These were very special, special builds to accomplish this.
So one of the key characteristics of these systems
that are operating off of cellular
where you do have high latency control
is they are fully stabilized.
So they're doing altitude and position hold,
which is not actually normal for an FPV drone.
Normally you're running on a firmware called Betaflight,
which was developed for racing applications.
And it's really precise.
It flies really well to a human pilot,
but it doesn't really have built-in stabilization.
They were using ArduPilot,
which is another open source firmware,
and it's used widely across drones,
but not usually for racing drones or for FPVs.
And so you can see that it actually shows
in the onscreen display from the videos
that they're doing that position hold,
and you can tell it's not like a normal FPV drone
where they're putting it at kind of any angle.
And what was also really interesting is they set these up to not fly into the target forward like you would with a normal
FPV strike drone. They descended flat onto the target and they had a camera on a gimbal that can
point down. So what you would usually do is have a warhead that's pointing basically in the same
direction forward direction as your FPV camera. And on these drones, they had two warheads that were basically pipes between the motors.
That way they could descend with that camera looking straight down and descend onto the
area with the fuel tanks of those bombers.
And the other advantage of that is that those drones inherently were flat and stable when
they're sitting in the container.
Instead of having one big round warhead on the bottom,
they had these two smaller ones on the sides,
which made it much easier for them to pack them flat
inside the top of that shipping container.
Interesting.
And so having a relatively larger target
than a FPV drone would typically had enabled that, right?
They just had to land kind of within a,
I don't know, I don't know I don't know
what the the surface area was but 20 something feet to really have the effect
they were landing on a pretty precise location but it was it was they were able
to do that especially because they knew the targets were stationary and it's
pretty easy to descend you know onto a flat wing versus if you're going after a
moving vehicle or soldier, anything like that,
descending flat onto them is going to be really, really hard, especially in that full stabilized
mode. Yeah. What do you think the pipeline is for identifying targets? Are they using satellite
imagery to see that the bombers are not in hangars and then they can clock that in? Yeah,
what wasn't there? There was a treaty at some point too that required bombers to be parked outside no I think it was anyway I'll look it up well that
might be rolling back soon no I think it did get abandoned already but there was
some historical precedent for nuclear assets need to be visible but yeah yeah
I want to talk about target identification Yeah, I want to talk about target identification.
And then I want to talk about just essentially
complete offline drone flying and targeting
with computer vision and a kind of closed loop,
basically doing geoguessing on the fly
and just popping up and realizing, look around, OK.
I'm in.
I'm like, I can kind of guess that I'm
1,000 miles outside of Moscow.
There might be a target somewhere nearby. I'm going to fly over there. OK, I see. I can kind of guess that I'm a thousand miles outside of Moscow. There might be a target somewhere nearby
I'm gonna fly over there. Okay, I see I can identify a hanger. I can identify a bomb before we dive into that
Let me give some context. I don't leave people hanging
So there was a treaty that the strategic arms reduction treaty start one signed in 1991 by the United States and the Soviet Union
included provisions for transparency and verification
such as placing strategic nuclear delivery vehicles like bombers at declared satellite
observable locations to ensure compliance with the treaty's limits on nuclear arsenal.
So it was broadly, it was suspended by Russia in 2023, but there was still this sort of
global infrastructure for
storing these types of assets in a way that you wouldn't store them today if you were
sort of building systems from first principles.
Yeah, so to answer your question, John, I have to imagine that satellite imagery and
also just, you know, this was a very well planned out plan for a year and a
half operation. And it was clear that Ukrainian SBU was operating inside of Russia on the ground.
And so it was pretty easy for them to gather that intelligence of where the bombers were,
and when would be the right time to strike. So I don't think that's the, that's not the main challenge here.
But there was a lot of talk on X about using AI and training models to identify the planes
and people saying that this was autonomous drones.
To me, I watch these videos very closely.
There is nothing to indicate that these were autonomous drones.
It actually to me looks very obvious that they're fully manually piloted. And that
also makes sense where you have a one-shot mission and you spent so much work to set up the cellular
network or these drones that work on the cellular network. It would not make sense to trust that to
some kind of unproven terminal guidance on a completely new set
of targets.
Totally.
Where we will get to is drones that are able to accomplish missions like this completely
autonomously.
And what you were kind of alluding to is like this GPS deny navigation world that's getting
a lot of attention right now.
Where basically you have kind of your known map and then you have what the camera sees
and you're able to match those together
And say look this is where I am
Typically you need to do that in a pretty confined space because you have to preload all of that map data sure but
That's really really useful if you especially on these these one-way strike drones the larger drones when you're trying to do deep strike
And hit a precise target and you've accepted the fact that GPS is just gonna be completely useless. And cellular as well right? Right. So total
signal jamming but you maybe don't have to load like all of Google Street View
from all over the world but you could load in just this thousand mile region
in Russia and then you kind of know that we're gonna start here so you
need to be grounding and then you can compress that ideally with some AI maybe,
or just some general compression to load as much as possible
on the drone.
But I'm wondering about if we can't do that without an NVIDIA
GPU on board, that's going to change the weight and cost
and all the economic equations around this.
But it sounds like we're maybe close to that already.
I can speak from the nearest perspective, which is we are speccing all of our
autonomy to work on a computer that doesn't kind of ruin the inherent nature
of an FPV drone. It needs to be small enough, it needs to be low enough cost, and that
doesn't tend to be an NVIDIA GPU for the systems we build, but you can still do a
lot with that.
And there's also these much more traditional forms
of navigation, inertial navigation's been around
for a very long time and it works quite well.
And so what you wanna do is actually combine
these different things together.
And it's going to depend on the user and the doctrine
if they will be okay with drones
just fully, autonomously going after targets.
But we are getting very close to the point where you could have a low cost FPV style
drone that's completing a mission basically on its own, flying to a certain area, scanning
four targets, identifying those targets, and then basically just saying go or no go and
then you just have to click a button.
That's what I think we're actually approaching quite quickly.
Yeah, are there international treaties around that?
I mean, it feels like the decision to maybe not destroy a military asset
that doesn't have a human on board, but certainly to take a human life,
that feels like a pretty distinct Rubicon that would be discussed in
the global order at the UN before it happens.
And yet it does seem inevitable as technology progresses, but where are we in that type
of discussion and Geneva Convention stuff?
I think the line gets blurry with AI because we've had weapons for a long time where you press the button and once it fires and it can find
hours you're gonna you're still never calling it back right like a cruise missile right or even just like a like a mortar shell right exactly
yeah and so
my opinion here is that the systems that nearest builds and these systems that are enabled by AI and
is that the systems that Neuris builds and these systems that are enabled by AI and drones in general are much more precise and cause much less casualties of civilians. And that idea, I think,
is starting to proliferate. But it's heavily debated. I don't think anyone could give you
a perfectly clear answer of this is exactly what everyone's agreed upon because
When you get in a situation like Ukraine where you are just defending your territory and is an all-out war
Those things don't seem to matter as much right? You're just you're you're coming up with the most clever solution to get it done with your limited resources
And so I think it's really the only thing that matters is what is actually going to happen in a real conflict and we can
Look to Ukraine for that and we can think about what potential adversaries the United States has in the future
Yeah, it does seem like the
like if the Ukrainians had the choice to do to you know, like send a couple more mortar shells and like kill
50 Russian people they would have much rather just destroyed the capital assets of these exquisite bombers
that are very hard to build and are,
not like strictly speaking more valuable than human life,
but certainly like more strategic to the war effort.
So yeah, it makes sense that like a precise instrument
like a drone would actually favor targeting
the bomber, the asset,
as opposed to the human, which is potentially good.
How are you seeing, you mentioned a little bit
about how the warhead this time around was different
and that it was flat so it could be packed into the truck.
What's the general evolution
that you're seeing on the warhead side?
So the classic image of a Ukrainian FPV drone
is a seven, eight, 10 inch FPV drone
with an RPG-7 warhead duct tape or zip tied to the bottom,
and some type of homegrown initiation board
to actually trigger that.
And then there's a blasting cap
that just goes in the back of the RPG-7. That's like the most common setup, and there's a lot of images trigger that. And then there's a blasting cap that just goes in the back of the RPG seven.
That's like the most common setup.
And there's a lot of images of that.
For a long time now,
Ukrainians and Russians have been building
purpose made FPV warheads.
And these can be basically from scratch.
We on our systems have warheads
that are very purpose built for the intended target.
And so that's really just depending on the mission, you're able to quickly swap on, swap
off various different warheads.
And I think that's the ideal scenario where you can support a wide array of different
effects and swap them out quickly.
Can you talk about the economics between the drone and the munition? It seems like
the like the the disposable drone was quickly adopted and is that a function
of the fact that the warhead costs more than the drone or they're roughly 50-50?
What's the evolution been there? Because you could imagine if you wind up in a
world where munition cost is driven to five bucks and the drone is still
hovering around a couple hundred, well then it might make sense to release the munition
and try and return the drone even if it's somewhat low probability.
Yeah. The costs are roughly 50-50 on an FPV system. And it really depends, but I would
put it roughly 50-50. Why you don't want to release the munition is because the point of an FVD drone is that
it's the cheapest and most precise guidance system you can have.
So as soon as you decouple that, even if it's very close to the target, you're losing precision
and it's not a great cost to actually blow up the drone.
And we do have bigger bomber drones, which makes sense,
because those are much more costly,
and they're able to carry very, very heavy warheads.
But to me, the reason why an FPV is so good
is because it is actually just kind of a guidance
system around a warhead.
When you say we, you mean the US Armed Forces not not Neiros? I mean, less is them interchangeably.
The collective.
Yeah, yeah, yeah.
So yeah, what is in the Neiros portfolio right now?
How has scaling production been?
And I'm interested in specifically knowing,
what are the downstream,
what are the frustration points that you've experienced
building that manufacturing line
that you maybe even expect someone to build a startup around
to make it easier.
I've been talking to a lot of defense tech friends
who are employees and I've been telling them like,
if you just go into the most hyper scale, most aggressive startup like if you want to be a founder
But you crush it there like you might discover something that needs its own
Its own business instead of like looking at a market map and trying to decide that way like go experience the pain
So where has the pain been where has been the opportunity and and how has that process been scaling of the manufacturing line?
so
Speaking to our current products,
we produce Archer, which is our FPV drone built
on an allied supply chain.
It's certified by the DoD for usage
and to be cyber secure and supply chain secure.
We have Archer Strike, which is the version of that,
where we actually integrate the Warhead system.
And then we have our various different ground stations
for different use cases.
Crossbow is more tactical and portable.
Longbow is our max range, max anti-jam ground station.
We have other things in the works,
but the main focus has been scaling the production
of Archer and the ground station.
It was quite painful earlier this year.
We went through sort of the first version
of a production ramp, which I think for any company ends up being a really, really painful time.
For us, it was all of our, not all, but we have all of these custom electronics
that we bring in from a board house in Arizona, and we were finding these really high failure rates
in some of the designs, and sometimes it wasn't even because of something we were doing.
And so we had to spend a lot of time to get those components to a really high first pass yield.
So for a while it was lots and lots of testing, lots of drones failing at the end of line test.
Now we're in a really stable spot and that is going quite well.
We're shipping very consistently about 1,500 drones a month, but ramping that actually very fast.
On the ground station side,
there's also been a lot of engineering challenges,
but I think what's more interesting,
what you were alluding to is the supply chain.
And one of the big things that I think you'll probably hear
a lot of drone and defense tech people talking about
right now is the supply chain for brushless motors.
We have worked with a partner outside of China
to scale up their capacity, but even right now that's still a game where we're pushing
them to go faster, pushing them to make new specs, and they are not prepared for the volume
that we're doing and that we're planning to be doing quite soon. So this is one that I've
seen a lot of folks getting interested in. I think there's some really good efforts that are starting to appear within the US and allied
countries for making brushless motors.
But there's probably going to need to be a lot of people serving this because there's
many different sizes, many different specs.
One of the challenges here is also the neodymium that goes into the motors and the other raw
materials are also typically controlled by China. So there's a many, many layer supply chain problem that one single
drone company isn't going to fix on its own.
Yeah, I talked to a friend who was doing business with an international founder who had experience
in the brushless motor industry in China and was thinking about setting up an operation in America
and was asking this other friend,
oh yeah, we wanna get set up,
but of course we wanna be where the action is
because we have a supply chain.
We'd love to set up in the brushless motor district
in America, wherever the district is
where all the brushless motor companies are,
we'll go set up there so that we're just just walking distance
So if we need a specific material and they had to explain like no no no like America doesn't even have a district for that
That's not even a concept here like we don't have any companies
but we also don't have the rest of the supply chain and and China's really really done a great job of like
Creating not just the power law outcomes like the DJ eyes of the world, but also all the minor supply chain companies,
they're all right next to each other.
So if you need some piece of equipment,
you can just go across the street.
It's kind of like what's happening at El Segundo right now.
You guys are building it up where you can go over
to Cameron at Rangeview and say,
hey, can you help me with this part or something like that?
But we're a lot earlier on that curve.
So hopefully it's solved.
I know people have flagged the brushless motor industry
quite early, and so people are definitely working on it.
Anyway, thank you so much for coming on.
I'm sure you're gonna have a very busy week.
Yeah.
I'm sure we weren't the first people to
Give you a call.
Shoot you a text.
But we appreciate you coming on.
And ask, get your thoughts.
So thanks for coming on and breaking it down.
And thanks for doing what you do.
Yeah, we'll talk to you soon.
Absolutely.
Cheers. Thanks guys. Great. Quickly, let me talk to you soon. Cheers. Thanks, guys.
Quickly, let me tell you about Numeral.
Sales tax on autopilot.
Spend less than five minutes per month on sales tax compliance.
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Next up, we have Connor Love from Lightspeed coming in.
He's been on the show before.
We're going to get an update from him on all things in the defense tech world, what he's thinking about,
how he's seeing things in the government.
Welcome to the stream, Connor. How are you doing?
I'm good. I'm doing alright.
Good to be back, guys.
Yeah.
He's got a suit this time.
Oh, looking great.
I won't say I dressed up just for you, but you know, I would have taken the suit off far before this, you know, if I wasn't coming on.
Fantastic.
Good, good.
Thanks so much for jumping on.
Have you been tracking the Ukraine story closely?
Any insights there, anything in the portfolio
that's at all relevant in the defense tech world?
Do you expect a response from the US government
or guidance or change to any strategies?
Really, any takes on that?
I mean, first shit, what a time to be alive. the US government or guidance or change to any strategies, really any takes on that?
I mean, first shit, what a time to be alive.
I mean, I'm sure your Twitter feeds
and your group chats are going up,
pun intended, over the weekend.
I mean, it's pretty crazy.
I mean, let's be honest.
First, I'm not shocked that the Ukrainians did this.
I mean, the executions seem to be flawless
from what we can pull from open source Intel.
I do think though, I mean, again, it's not a surprise
that the Ukrainians have been mastering drone warfare
for the last handful of years.
And you wanna call it, they called it spider web.
Like this was their Trojan horse.
This was their Israeli beeper.
And the outcome is pretty impressive to be honest.
I mean, from the outside looking in,
like the Russians woke up over the weekend
and they thought they were getting their $4 team orders.
And what did they get?
They got a thousand FPV drones, you know,
blowing them to smithereens.
So it's pretty impressive.
I mean, my takeaways from this are really twofold.
The first is like,
there's never been a clear signal of where warfare is going.
And to be clear, what I view this from,
both the entrepreneurs in my portfolio,
but also from my perspective, I mean,
the world is about cheap, attributable, a lot of times,
autonomous systems.
And that's playing out in warfare.
That's playing out in other areas of life.
And then the second thing is, candidly, it's really hard to defend yourself at the pace
at which things are changing.
And again, I know we do some things here in the United States and are trying to be on
the front end of a lot of this innovation, but when this happens, I think this almost
just resets everyone again and says, all right, how do we respond to it?
And I think to your point, it everyone again and says, all right, how do we respond to it? And I think it's, to your point,
it's not a direct US response.
It's more of, hey, what do we need to buy?
What do we need to develop for our own fight
in some way, shape, or form?
Yeah, what do you think,
obviously you're a venture capitalist,
not a geopolitical strategist,
but what's the right Russian response to this?
Is it, hey, we suddenly need to be wary
of having cell coverage anywhere near strategic military assets?
I mean, it seems like in Ukraine's perfect world,
they could run this style of attack a bunch
and copy and paste and hit other targets.
But it feels like something that was dependent
on cellular technology, that that's something
that the Russians can revoke
you know fairly fairly quickly sure it'll be inconvenient but I'm curious if you have have a
take yeah I mean I you know to be honest when I think about how do you defend against this I think
there is you know I wouldn't call this the easy answer of just turning off the cellular network. I actually
think the only way to do it practically is in layers or in a multitude of different ways,
because the reality is if you looked at how the Ukrainians carried out this attack, they did so
on the local Russian cell network, which again, I don't think any Russian defense unit on any
of these bases was ever thinking that they would have to turn off their own cell network, which again, I don't think any Russian kind of defense unit, any
of these basis was ever thinking that they would have to turn off their own cell network.
And then there's just the practicality of how you do it.
I mean, I think there was what four or five different attacks that hit all at the same
time.
What do you do?
You turn off the network for tens of thousands, hundreds of thousands of people.
And oh, by the way, this is like a dirty little secret that nobody talks about.
You know, yes, you have your military systems that are protected and all that, but a lot of coordination
is happening through WhatsApp.
A lot of coordination.
And so all of a sudden, you turn off the cell networks, you're actually inhibiting your
own defense, your own response, the first responder, getting your own people out of
there.
So I think it's a bit more complex than that.
And then the last thing I'd say is just like,
even if you do this in layers, you need to be resilient in a way, but you're not going to stop everything. This was just brilliant masterclass of, again, if maybe there was a plan, we didn't know
this, but maybe there's a plan for 100 bases, and we only hit five of them. And so if you think about just the broad, you know, geographic coverage you have to have,
I think to be 100% certain on anything, it's just you, it's impossible. You can't do it.
Yeah.
It's interesting. There was like that Huawei narrative for a while about 5G towers and
potential back doors. It was always about, the narrative is always about spying.
And I think now you have to consider sabotage,
not just espionage and the idea that
if you could even just provision a tower
that has some sort of just,
if this SIM card comes through, just let it go through.
Don't worry about this.
This SIM card can always communicate.
That's very scary.
So I wonder if-
I mean, this is a funny aside, but it's real.
I mean, back when I was in Iraq not long ago, we would go by like burner phones to be able
to like check the news and, you know, catch up with your family on obviously non pertinent
things.
And every now and then I was, you know, I was in Northern Iraq and every now and then
I would go just pull up my Google search on this burner phone.
And my location happened to be Tehran, Iran, almost every time that I would go to search there.
And I'd be like, oh, this is weird.
That's not where I am.
So again, I think it's really hard to do in practicality.
I think the manner is like,
you just have to have resiliency.
You just have to have a bunch of different options,
both on the defense and the offensive side.
I mean, look at what the Ukrainians are actually using for the majority of their drones in Ukraine right now.
Fiber optic cable, they're not even using networks
at this point too.
Can you actually, what is that?
Can you go a level deeper on what that fiber optic
infrastructure is?
Yeah, Sorin mentioned that, but I don't actually understand.
Is it like a cable that flies through the air?
100%, I mean, think about it.
It's arguably unlimited amount of fiber optic,
really thin filament cables that all it's doing
is it's transmitting data to the drone.
And you're inhibited arguably by how much fiber optic cable,
how much kind of filament can you lay out?
And so-
So it's actually like a spider web
that they're just drawing across the sky?
100%.
So you could have, and I'm so curious to actually understand,
we don't have to talk about it today,
but the actual mechanics is it like effectively
on a spool that's just running out?
That's literally what it looks like.
I haven't been on the ground in Ukraine,
but when I talk to my portfolio founders and companies that either are or have kind of partners there, I mean,
you literally drive around the front lines of Ukraine right now. And all you see is just
miles and miles of clumps of all this this separate fiber optic cable. So again, I think that just to
zoom back, like, I actually think the takeaway here is that the pace at innovation that's happening
both in Ukraine, but like,
let's be honest here, what we are watching in Ukraine and in Russia is a precursor to
what life looks like in the Pacific.
And I think that's, you know, maybe sounds a little bit doomsday in a way or another.
But if you don't think that the Chinese are watching what happened to the Russians and
either changing their own kind of defensive plans, you know, building new kind of technology and equipment,
you're just, you're wrong, like they are,
we know that for a fact.
I remember because it was somebody at Andral
was responding to one of these posts,
but a Chinese official was posting a render,
it was a render, they were getting roasted
for using a render, but it was like this mothership style aircraft drone
that was launching hundreds of drones off the side.
And so that's like the scary thing is,
could you have stealth aircraft at some point
that can actually do the same type of deployment
that these trucks did?
Yeah, like a new B-52 should be dropping FPV drones instead
of just untargeted bombs.
They'll just be a lot more targeted.
Yeah.
I mean, I think there are many, I mean, again, I think the reframing that's happening both
on in my mind as an investor, but Kenley, like also in the DOD and the government side,
is before we used to think about deterrence, just by like, hey, let's buy the big new exquisite
system.
Let's buy the thing that if
we stack head to head, like again, I think I showed this with you guys before, but back when
I used to work in the Pacific, we created this really kind of popular and widely distributed
unclassified slide that was literally just all of the US ships stacked up against the Chinese ships.
And just like you look at the math, it's this crazy metric. We're grossly
behind by hundreds of ships. That's just one example. I think the mindset we had then was
like, oh, well, then if we get more systems and we get more of these things that could
have these big effects, then we're going to win. We're going to deter conflict. We're
going to win. I just think the paradigm has changed. Now it's about, okay, what are the
means that we actually have those effects?
And it's not just about, I hate to say it, buying another F-35 or buying another aircraft
carrier or squizit system.
Let's think about this as a parts of a whole thesis and say, okay, if I can build a missile
that costs a tenth of what we used to have, if I can use a drone that costs a thousandth
of what we have, but have a thousand of them, have 10,000 of them, you actually achieve, if not a better end outcome
in just a different means.
And by changing the modicum of how you deliver it,
the enemy has to change how they defend against it.
So again, I think that's the future of where we're going.
It's not gonna look just like what happened
over the weekend in Russia, but it's gonna rhyme.
It's gonna look very similar to that.
Do you think this speeds up DOD procurement in any way?
I mean, it's certainly such a visceral
and like tractable problem.
We've seen Anderil working counter UAS for years,
but there's also a ton of other startups
taking different approaches.
We have the secretary of the army, Dan Dershkal,
and he was mentioning that they are ready to see demos
from even early stage
startups.
They want to see things.
And you think about not even in great power competition
with China, but just if there's an army base abroad,
they are going to want to fight against this.
And they're going to want a really robust ensemble
of counter-UAS technologies.
Well, yeah, why don't you give us,
I'm curious how you think of the market map of counter-UAS
technology, because we've had Steve Simoni
on from Alan Control Systems.
That can be a great solution if you're on a battlefield, right?
But if you can't protect against an NFL stadium
for counter-terrorism by shooting
rounds into the air in the middle of a city, right?
Unless you're in Texas.
Texas.
Yeah, I don't know.
I think the way to, back to kind of my defense
in multiple layers comment, I think
the way you look at this market is almost like a spectrum.
On one end of the spectrum, you have what I would define
as like the non-kinetic stuff that, in a weird way,
can be kinetic.
But this is your EW jamming.
This is your laser-based systems.
And then on the other end of the spectrum you have something as simple as shooting a bullet
or shooting a shotgun at something. And I think, again, there's a middle ground here which you start
to take both EW resilient things, but then also like you mentioned the anvil drone from Anderil of a drone flying and hitting another drone.
I also just think there's this layer that no one else really
talks about.
And when you look at this, what happened over the weekend,
there's a full, like, how would you
have solved this in the first place?
You can be like, oh, yeah, we can shut down the cell network
and get a bunch of shotguns.
We can get a bunch of different systems
that shoot down systems.
Or you could just do better counterintelligence and understand in some
way, shape or form. And that's hard to do, to be really honest, because one truck gets in,
you still have an effect in some way, shape or form. But in the end, I think the US military is
not just going to buy one of these systems. They're not going to be like, ah, let's go with Andrews
Anvil. They're going to buy a Whitney of these things.
And if you think about just the sheer complexity of the locations at which we are at and where
our critical infrastructure sits, a single solution doesn't solve the problem.
I mean, go talk to, I know you guys were talking about the cell network earlier, but you guys
should get a famous John DeLale, who's now building a business called Cape, but used
to be an early Palantir guy. He's building a private cell network. And part of
what he's doing is enabling for when we call it a pace plane in the military, when you shut
everything off, you still have a way to kind of communicate and talk. But yeah, in the end,
I think you're going to see this litany of many buys as opposed to one solution that solves them all.
I wonder if there will be almost adversarial camouflage for computer vision-based models.
I've seen situations where people were worried about facial detection, so they would wear
specific makeup with triangles.
It would look very odd to a human, but to a computer, computer it would read as just I can't process this at all and so I mean it's crazy because in a way this isn't new like go back and look at at World War two like what did we do we built literally wooden towns across the channel because when people were looking or doing like you know it looked like it was real now it it's just the technology has flashed forward so far.
But in the end, I think, again, it's one of these things
where it's like, there's going to be no single solution that
fits them all.
I do think that, and this is worth commenting,
I think a lot of times when we look at we as investors
or entrepreneurs building, or even just the general public,
thinks that the DOD has truly autonomous systems.
And the reality is, is like, you have humans in the loop on 99% of what's happening.
And that's not necessarily a bad thing. I just think the scary thing is like,
you know, call it our doctrine, call it our Geneva Convention laws,
call it whatever you want to call it. But the reality is when shit hits the fan like China,
do you think they're going to have a human in the loop and making decisions of how to kill or not kill something?
They're just gonna kill things.
And so to me, it's like, you know,
we need to be thoughtful about how we do it.
We are a beautiful democracy who cares about life
and kind of human nature.
But at the same time, like,
we're not really doing autonomous systems yet.
And that just makes me a little scared, to be honest.
Yeah.
Put this in the context of DJI and TikTok.
The TikTok ban was always a little abstract.
It was like, well, it's kind of brain rot for kids
and that's not great, but people watch Instagram reels
and that seems maybe equally as bad or maybe fine.
But maybe they're steering the algorithm
to influence our policy.
It was all very like four steps away from something bad.
And so it kind of didn't catch ground and didn't really get off the ground.
But DJI has been in the news as a potential ban target.
This seems like it concretizes the feeling of danger so much more intimately than TikTok, where it was like, oh, well, like the, you know,
the CCP could find out that you are into luxury sports cars
or something and they could do something with that.
They could blackmail you,
but that's very different than drones explode.
And so maybe we don't want drones.
So do you have any takes on that?
Even more important, it's like, look,
who's using those drones.
I mean, again, this is what we drones. I mean again, oh, yeah
This is what we did
I mean, I you know, I was in the military not too long ago
But I remember on some of my first training exercises this this new team
I don't know who they were off top my head, but they came to us and they're like, hey, we're gonna try this new thing
That's drone warfare. I was like, oh shit. We developed a new smaller predator or something like that
They would have just pulled the DJI out of a box and they said,
Hey, go screw around with this in the woods.
And like we did, it was like super cool.
We innovated on some stuff, but I think you're right.
It gets super scary when we're taking the feeds and the data and the information
from that drone, you know, not necessarily touching it, putting it into our
classified system, cause there are, there are controls for that.
Um, but again, even, even some of the, you know, again, you should talk to,
you know, Sorin and you should talk to the
Orca guys. You should talk to Andy from Vector about like, there's a lot of open source tools
that are actually used as, I think, everything from navigating the fight computers of these drones.
But even in those situations, we just have to be thoughtful. Again, I am on the side of,
again, when I was in the military, everyone gets so scared about
classifications and no one wanted to get in trouble for this reason or the other.
The reality is, if you're so scared about using some type of tech, then you're going
to lose.
It's going to be the different way.
It's not going to be the information leakage way.
There's some middle ground of, we need to just set a policy, and hopefully the policy
is broad enough.
Then, oh, by the way, hopefully like us builders are building at the same
time so we can build a capacity that actually meets it. But, you
know, the story is not clear here in the future, other than,
you know, we need a US version of that to be able to operate in
similar ways.
Yeah, the capacity issue is so interesting, because it's like,
even if DJI is just a friendly consumer drone company,
by virtue of buying a hundred million dollars worth, like demand, this massive demand signal
to scale the supply chain results in an industrial capacity that is dual use, even if the products
that reach America are never dual use. I mean, this, you know, again, I said I'd put on a suit
for you, but I was talking with a member this morning,
a member of Congress this morning, and this is actually what we spent 90% of our time talking
about, which is just, okay, say we all agree and say the duty in Congress fixes our acquisition
pathways, say these are the right things to buy. You can't just snap your fingers and build these.
I mean, this takes time. I mean, go look at what what Anderil's doing in Ohio. I mean,
I think they're doing it at a pace better than anybody else. But like, you know, same thing with Sironic on the on the boat building side,
too. But it takes time, you know, you can't just have thousands of systems tomorrow, you need to
make decisions today. Yes, or in everything from the supply chain to, again, like, you know,
Congress gets gets a little scared sometimes, or you get a little scared sometimes like, well,
if you're not a prime,
we can't trust you to give you a bunch of money upfront
to develop it.
And finally that's like changing,
that culture is changing and saying like,
actually giving a hundred million dollars to Castilian
or Anderl or whoever in advance of them building it
is probably a 10 times better answer
than giving it to a prime,
but we're not there yet.
Like we're still pretty far off.
Yeah, Sorin said they're the highest producing
US manufacturer right now.
In their class.
And they're putting up 1,500 a month or something like that.
Oh yeah, but the Ukrainians built millions.
Yeah, I mean the Ukrainians are building
thousands a day.
Wow.
And again, it's a different ecosystem.
People come to me a lot and were just like, well, isn't the USDOD going to do this?
And part of me says like, no, because I know how slow we move.
The other part of me just thinks that like, there is some value in what we call interoperability.
And again, I think that's kind of somewhat an old school way of thinking.
But like, you need to know that if you give a thousands of one
type of drones to one unit, that the next unit is going to fight in a similar way where the tactics
and techniques kind of all align. Because in the end, what we aren't talking about with these drones,
what we aren't talking about with these new missiles or systems is there's an entire
downstream integration and there's a training that happens. It's not just like, okay, once we have them in the warehouse, we press a button and we
win the war with China.
No, we need to train, integrate, and again, that's just another problem.
There are some companies trying to go attack this.
Andy at Vector is doing this.
He calls it warfare as a service model, which I think is really interesting.
It looks more like training with a little bit of tech, but yeah, I just think there are big gaps
and I'm optimistic about the future,
but I have a one-year-old daughter.
It's like, this is what I think about.
This is what keeps me up at night, man.
Talk to me about nominal, any news there,
and really like, how does that type of product
and interface with just the general news
and tenor in DC right now?
Yeah, I mean, I know you guys have had a cam on your show
a couple of times that the founder of nominal,
I think what's super interesting is like we are seeing
this wave of new hardware development in the US and historically it's been in a manner
and in a way that's very much like,
hey, here's Lockheed, here's your hundreds of millions
of dollars, go build, go iterate slowly.
And now we're getting like, what looks more like the SpaceX
build the thing in flight.
This is what Castilian's doing,
this is what many other companies are doing.
And so there needs to be this like software,
both telemetry and observation layer,
but it's also just like the tools
that if we wanna get to this end state
of having a million drones in the hands of our war fighters,
having hundreds of thousands of autonomous systems,
having thousands of missile systems,
you kinda need to build all the infrastructure
and enable it below it.
That's both on the supply chain side
like I was talking about,
but also on the software and development side.
So I just think what you're seeing,
nominal is one example,
but there are many other examples of this,
is like you're seeing the picks and shovels
built out for this ecosystem.
I guess there will be big winners
in like the hardware categories that's owning the product,
but I think there's gonna be just as many winners
on the downstream, both infrastructure side,
and call it supply chain, call it software, call it whatever.
And again, I'm optimistic about the market.
I'm not necessarily optimistic about the outcome
of our security and safety in the world,
but that's my job as a venture capitalist, I guess.
That's rough.
Always paranoid.
What was your reaction to the Metaanderol news
last week around VR?
I'm sure it wasn't a surprise, but I'm also curious if you think we're going to see more
if that gives other big tech giants full permission to lean into that kind of partnership.
Yeah, VR is a weird one for me personally.
And again, back in my time in service,
there was this, I'd call it a research project through Army Research Laboratory,
where they were trying to develop, and again, really old school, bad VR at the time,
but use it for planning purposes. And the idea is in the military, you get out these two-dimensional
maps and you look at something and say, hey, this is how we're going to plan. This is where forces are going to be. And it's
really slow. It's obviously not optimal when you talk about terrain and kind of other things.
So I was part of a unit in the Pacific, actually, where we were testing this back then. And
I remember taking it to like the brigade commander, the guy who, I don't know, was in charge of
5,000 or so soldiers. And, you know, I have this, I still have this photo on my phone
of him with these glasses on,
like standing there being like, what do I do with this thing? And again, part of this is a cultural
thing that we need to shift. But I think when I see the Palmer going back with Mark, it puts a
smile on my face because to me it's like, this is the best of what we need. We need the best
technology companies and the best defense technology companies working together in some way, shape or form. And the reality is, 10 years ago or more
than that, when I was in and we tried this and technology wasn't there, I know for a fact that
the solution and the hardware and the software around it is 10 times better now. So I look
forward to see what Andrew comes out with. I mean, shit, if anybody is going to do it, Palmer is
probably the right guy to do it. But we'll see, you know, I haven't seen the outcome yet.
So I'm excited to give it a try.
Yeah, I really just feel like if it's anyone's game
to win, it's Palmer.
It's like the perfect merger of everything he's done.
No, in my view, he was going to win that category.
It was just whether or not he would have to reinvent
the full production capacity, reinvent the technology
that he had already created.
And the patents, and the patents are there,
and gave to them, yeah.
What is your take on Golden Dome?
What companies or industries are you tracking related to that?
Obviously we have a missile defense system,
but we're planning on ramping it up.
What do you think is interesting
if that project kind of gets off the ground?
I mean, I won't bury the lead.
I don't think anyone knows what Golden Dome is or isn't,
which is OK.
I mean, the thing that I give President Trump a lot of credit
for is he has these big, audacious things,
and he just goes and wills them into happen.
And again, I'm not an expert from the inside the DOD,
but that's how you have to get a lot of stuff done.
I mean, you have to almost make it not too big to fail,
but put the cart before the horse in order to align
both Congress and DoD support behind it.
I think from a principled kind of,
like what can a do perspective,
it's an absolute no-brainer.
I mean, again, like to look at the technology
that has happened in Israel and to understand that,
like one, Israelis developed that,
but we had a say and input in that as
well that we don't have that in the United States.
Just seems that, again, other things that make me feel uncomfortable.
I think the reality is there's going to be a lot of different components of this that
still need to be built.
I mean, there's an entire space component.
There's an entire kind of missile and effector component.
I mean, in a perfect world, when we can see and know everything coming,
we actually need to be able to do something to it.
And if you think we have enough missiles to respond
to everything we see potentially, you're wrong.
So again, I think it goes back to my statement before.
These things take time.
And I'm glad that President Trump has these audacious goals
and getting it done before his third term.
I just think it's arguably, in my opinion,
if done correctly, it will be a Manhattan project-like undertaking,
where it's going to take multiple different departments.
It's not just going to Space Missile Defense
and saying, like, hey, solve this problem for us.
I mean, this is going to create a new line of budget.
It's going to create new kind of work streams,
going to need new congressional support.
The beauty is we got a bunch of awesome space companies
and a bunch of defense companies that can respond to it.
I just don't think anyone knows what it looks like yet.
So excited and optimistic, I would say.
It's interesting.
As soon as we were talking about Golden Dome
and the space-based ICBM weapons, the big guys,
now we need a golden spiderweb defense system
to stop the local drones and do countering the US. I mean, it's layered, like I said., now we need like a golden spider web defense system to like stop like the local drones and do.
I mean, it's layered.
Like I said, you know, to some extent a missile defense system.
I mean, probably not with, you know, I don't have the full specs, but probably not with
the height of those drones where we're kind of flying at.
But you fly a one way drone a thousand kilometers or, you know, 3000 kilometers, you throw it
up high enough in the air, like a hundred percent something like, you know, golden dome
can help with that. It feels like a missile attack, honestly.
Yeah.
Yeah.
And again, like this is the last thing I'd leave you with, which is I do
fundamentally believe back to my bull spectrum on defense, there's also a
spectrum on offensive weapons too.
Like everyone thinks that the answer is a $10 million missile, and that's
the most exquisite best thing that's going to save us every time.
If we can get better, both on the low cost,
high-performance missiles, and in drone-based systems,
I actually don't even think we need those
$100 million, $10 million systems in the end.
But again, something optimistic to look forward to.
It's great.
Well, thank you so much for coming on.
This is fantastic conversation.
Always a pleasure.
Yeah, guys.
All right, we'll chat soon.
Cheers.
Have a good trip.
Talk to you soon. Bye. Let's tell you about public.com, investing for those who take it seriously. They got multi asset investing industry leading yields
They're trusted by millions folks and we have
In the in the studio
She has some massive news and we're gonna need to hit that size gong. Can you introduce yourself?
Works welcome to the stream. How are you doing?
We're going to have to hit the real size gong.
So break it down.
What are you announcing today?
And why should we hit this gong?
Yes, we are coming out of stealth with NETIC today
and announcing our $20 million fundraise from
Bonner's Fund and Greylock.
And Mike Wolfie amongst amazing other investors and visionary
founders and growing our team to surface.
Hit the wide.
Hit the wide.
Hit the wide.
Go for it.
Let's go.
That's one of the best.
There we go.
Back to the background.
Let's go.
Congratulations.
Thank you.
Thank you, guys.
Now that we've gotten the important stuff out of the way, what does the company do?
Yes.
We work with the backbone of America.
We're building for the essential services industries like home services.
Podcasting.
Yeah, exactly.
You guys are essential.
That's why I'm here, right?
Yeah, exactly.
I could be doing a lot of different stuff today.
But, you know, we give them an AI revenue engine so that when they are, these are industries, even
though they're super important, they're affected by labor shortages, external circumstances
and demand changes, physical infrastructure.
So when they have high demand, we help them handle it.
So they get all the dollars and help their end users.
And when they're low on demand, we help them generate demand.
So you can always maximize the revenue.
What is a good example customer?
We hear about these SMBs in this abstract context,
but is it actually one guy who owns an LLC who
has a few employees?
Or is the median customer more of a like small business or medium
sized business with dozens or even hundreds of employees and then I want to walk through
how they actually use the product. Is it replacing or augmenting an existing kind of sales force or
someone that they have internally or is it just kind of helping individuals do more with less?
or someone that they have internally, or is it just kind of helping individuals
do more with less?
So we work with actually pretty large customers
that would be owned by private equity
from hundreds of millions of dollars
to a few billions of dollars,
as well as smaller companies
that are around like 10, 20 million dollar revenue size.
So across the board, we started with the larger ones
to really demonstrate the impact of our
platform.
At the end, this is also a business.
But now, actually, this is a life passion for me because I do want to help with smaller
companies as well.
That's how I came across this problem as a customer myself for HVAC in my own home.
So we just announced a very large partnership with Nextstar Network to be able to help
a thousand companies that are more
on the mid-market side as well.
And for the smaller, you know what?
We wanna support everybody.
I think we would start with some materials
for them to get ready for AI
before maybe they roll us out.
But we wanna really help across the board.
So one example would be how are they using it?
They're actually completely integrated with our platform.
So we would use first party signals about their customers
as well as third party signals like we find from weather
to really property information or different types of things
to help any of the customers that are coming in so they get help immediately.
And these are complex jobs, right?
Like there's actually quite a bit of information
you need to collect to be able to deploy the right labor.
And then based on that data,
we predict the user's next need, you know?
So I'm almost building for myself.
I'm like, I would never think about these things.
For me, I wish somebody told me, Melissa,
you're going to need this next month.
Because I don't know, a storm is coming,
or San Francisco weather is, again, terrible.
So you've got to fix this.
And then we turn that into predicting the next need
for their end users so that the companies can really
cultivate the relationship with their customers,
but based on need versus
random promos. So everyone wants their HVAC system like tuned up
before the big heat wave hits. Exactly. You can do essentially outbound sales to
existing clients and potentially new clients before that hits with like
the correct information, the correct pitch pitch but exactly what is the actual medium are you sending text messages emails phone
calls all of the above yes or inbound we're really integrated across the board
on all channels so voice text online widgets web chat third-party
integrations because revenue doesn't come from one channel right it comes
from all channels and the same customer,
if I'm in a meeting right now,
I might be texting an essential service provider right now,
even though I'm busy,
but a few hours later I might call them, right?
On the Outbound campaigns,
we really do see a lot of success with especially techs,
since it's much more respectful.
So we started from there
and we'll be rolling out more channels.
So I'm intimately familiar with all the tooling in email, you have MailChimp and all the different
AWS, SES and all the different systems that have built up to make that easy. And I can
imagine how you would automate that. Talk to me about automating a phone call. It feels
like with whisper transcription and then text
to speech we're now kind of passed the Turing test on that but are you building
stuff yourself are you training your own models are you partnered with other AI
companies to provide that piece of the stack or is that so integral that
you're handling it yeah this is actually the integral part of this is that certain technologies have
passed the turning test, but actually for really, um, you know,
mission critical workflows like this,
where you are absolutely like utility and you can drop all the, uh,
work and you know, the engineering really focus goes to
the orchestration, right?
So what does it mean is that like when,
depending on whatever workflows that you're handling,
which models are the best?
When they're not the best,
how can you actually fine tune only for that task?
And how can you make sure not only it looks good in a demo,
we actually, at Culture, we don't ever do demo.
We show real deployments and let you test,
but it's very different out there
when you're talking to somebody with an accent
or that person doesn't even know what they need, right?
It's actually very complex.
So all of the engineering work not only goes, you know,
improving and integrating machine learning advancements,
but also doing our own orchestration, fine tuning, as well as evaluations
so that you can be like utility and really reliable
when you're replacing these systems
and augmenting the teams that rely on this, right?
Yeah.
What's the process like selling AI to SMBs?
We've had a bunch of people on the show
that sell to larger corporates, Fortune 500.
There's an excitement from the Fortune 500
to just buy AI, even if they're unclear of what the value is.
I could imagine you see two scenarios.
One, where owners or operators are
excited about potential efficiency or more revenue,
more leads.
And then another side, which is like, well,
I don't know about this AI stuff.
Why are you doing an accent, Jordi?
Why are you doing an accent?
You'll be surprised.
This is why I'm building for these industries.
These are probably the best founders and entrepreneurs
I have ever met in my life.
And I'm in the heart of Silicon Valley,
and I worked very hard to get here.
And all these founders, founders truly they are extremely ROI oriented
they're extremely customer oriented and incentives are very aligned right like
they only do better if they serve their end customer better and I only do better
if I help them do better so it's extremely aligned so we actually don't
see you know they might ask questions but everybody is extremely open about it. They know that that
future is here. They can't stay behind. It's not like the enterprises you're a little bit
alluding to where let me just put this on my board deck and have like a few million
spend here and there to show how AI oriented I am. And then they won't actually use it.
No, these people actually are absolutely incredible
and partner with us so closely to see it in numbers, right?
We let them even track it.
This is how much you generated
from only AI handled jobs or interactions.
So we've been very happy about it.
And it's the same from a $20 million revenue business
to a billion dollar revenue business.
Obviously there might be a few steps here and there, but I am pretty happy about how incredible of entrepreneurs I'm working
with in this industry. I think I choose to do that.
Yeah, you mentioned-
Yeah, I always think it's funny when people in Silicon Valley look at these maybe trade
businesses and they think, oh, I can just get a better store around,
get some software.
And it's like, you realize the person that
was operating this business for 20 years
is like a fixture of their community.
Yes.
Respective.
And also extremely hardworking.
They're working 14 hours a day.
Their overnight success comes over 20 years.
Yes, exactly.
Not just like various, I don't know,
and like tonight in my bedroom I built this
and now I have my 20s.
Yeah, yeah, I went viral and now I'm the hot kid
on the block in all of East Hollywood.
And many times it's their families, right?
Like everybody really investing in this
and even when you work with a larger company
or owned by it, like everybody's truly invested in this.
To give you a sense, I have brainstorming calls
with my customers on Sundays.
They'll call me with really cool ideas.
And I'm like, interesting.
So try this.
The next day, I'll follow up with a try this one.
Try this demo.
Let's see if you like it.
And then we'll actually launch it this week for you.
Right?
Yeah, I do.
I absolutely love that.
Howard, do you guys leverage your own tools at all,
or do you have your own internal tooling to be more efficient?
From what I can see, you don't have very many employees.
Yeah, what do you use for our app?
I know.
Hopefully, you'll help with that.
We're hiring across the board, especially
for our engineering, but also go-to-market teams now and products.
So we actually do utilize various tools internally,
just to increase engineering output,
but also still,
especially when it comes to various coding tools.
I will say because we ship for really mission-critical workflows,
you need to make sure that it might accelerate you and augment you, but you still have to make sure
everything is ready for production,
because we're handling a lot of large volume customers
that are really deploying these services
to help somebody maybe after a storm,
like a few weeks ago in St. Louis,
it happened after the tornadoes.
So we have to make sure everything is really
getting that check from us.
And like the best engineers,
we have hired across MIT, Stanford, scale, Palantir, HRT.
But yeah, I mean, you're a fool
if you're not using augmented tools for your team.
And you are right, we are a small team.
And that is by design,
because I think all of us are also here
to create the best things out of nothing, right?
And really keep our culture and grow in that way
You mentioned you worked really hard to get to Silicon Valley
Can you give us a little bit of the journey in the background to get here?
Yeah, I will say building a company is almost as hard as getting to here from a small town in Turkey
I grew up in the Mediterranean
this is like a tiny town actually in Turkey
on the Western coast.
And yeah, I think it is an incredible community
but there is absolutely like no opportunity
especially for someone like me who's focused on math
and computer science.
So I tried to first leave actually,
I went to boarding schools that I got in starting age 13
So I haven't lived at home since 13
And then spent some time in India when I got into United World colleges actually for two years
And I thought that's how I would learn English because my English really sucked
And I did you know I'm doing pretty fine
and Um, and I did, you know, I'm doing pretty fine. Um, and yeah, from there, it's been my dream to come to Stanford and I
didn't know anything about it.
Actually.
I only saw it through a summer camp.
I came to on a scholarship and, um, even my flights were funded by.
Thousands of emails I sent to businessmen in Turkey and one of them responded and
sent me here to California. And when I saw it, I was like, I have to be here. And since then, there is
no, you know, easy way of explaining this. It's you. I think probably I fought tooth
and nail to be able to really get here. And I'm glad because I love this place. And mainly
for me, it's about the people
everybody's interested in your ideas everybody's interested in making them possible for the world
and if anything I wanted to change one part of it when it came to my own company is that I want
to build for the real world not just for Silicon Valley or other startups I want to build for
America and then and then the world, like this country
that gave me a lot of opportunity
and then hopefully globally the real world economies
that run everybody's lives.
Yeah, I know you worked at scale.
Can you talk a little bit about human in the loop
or business process outsourcing
or any sort of like the Centaur model of AI
and how that might play a role
in your
current or future roadmap?
Yeah. So actually labeling does not play a lot of role for our roadmap.
Like right now, obviously it was big,
especially when you're improving these models,
there was a lot of labeling and then it turned to expert labeling.
Now you really focus these models in terms of how is it going to be better in
physics or coding, et etc. But for us human in the loop
actually comes from
collaborating very closely with the teams of our customers because they will have actually many times what we see in these industries that they won't have
Like DTOs what we call
Or outsource call centers sometimes they might have but they'll have also internal teams which are very valuable
out source call centers, sometimes they might have, but they'll have also internal teams,
which are very valuable resources.
So what they can do with us is that they spend their time
only for mission critical interactions
when they need to take over and actually see the context
from the conversation about the person, about the home,
so that they don't have to repeat anything,
they can build rapport immediately,
and for the remainder of time
since AI is really handling everything else, that they can focus on more important and
high leverage tasks, whether you're helping with accounting, whether you're helping with
actually making intelligent business decisions about where to grow.
And believe it or not, a lot of people start from there to build their careers in these
industries. For example, our engagement management lead, she actually joined us from our earliest customers
and she started at the CSR.
Don't worry, they're amazing, still a customer and she was making a location change.
We did everything right.
I love, you know, like you immediately coming into that.
Did you do anything?
No, no, no.
I mean, it's great.
It's like, you could just say, we're
going to take your star employee,
but we'll give you the greatest software
that you've ever experienced.
And we're going to go.
No, no, no.
They also get to interact with her.
But this now is supported by us.
Off balance sheet R&D.
It's off balance sheet R&D now.
Exactly.
I'd like to think that they got a lot of tools from that.
But she started actually as a call center employee
20 years ago.
And she's so smart and incredible that really built
the domain knowledge and went to consulting from there
and a VP of customer experience and really built her career.
That's what we want for the people, right?
Actually focus on the things that you can shine in and
Build your career and not just the menial tasks
You don't want to do and only spend time on smarting sure talk about business model pricing model
Salesforce and has been to mark Benioff's been talking about
Cost per resolution in the customer service perspective.
There's other companies that are doing
consumption-based pricing, seat-based pricing.
What's working, what's not, what are you seeing
resonate with your customers best?
Yeah, I think we don't do cost per resolution.
It's actually an interesting pricing model,
but I think works better for customer support companies,
for tech, when it's all about tickets.
And even then, I think it's a little bit iffy because I mean, what's the resolution?
You're able to close the ticket. How many of us have been in a situation where I'm like getting this automated email that my ticket is closed?
And I'm like, well, I am not closed. I am not done. I need that help.
So for us, we really work in enterprise contracts with our customers.
So they get on a platform kind of package that they choose based on which products they want to use
and how expanded of channels that they want.
And then on top of that, they have a volume package that they add
so that they can spend it across any channel
that they liked.
And this also gives them that ability
that we're not just signing and goodbye,
because in a lot of these industries,
or quite frankly, in any company,
AI is not just like, I got on it and now it works.
It doesn't.
You really have to make it work,
ensure that it is working for their operational workflows, so it gives
us the ability to do that and closely partner.
And then as we go to mid-market, that was something, that's why I was super excited
about this Nextstar partnership, because they have decades-long experience in these industries,
and they have accumulated so much knowledge that today we're able to deploy a NETIC tenant
with that knowledge for their members
so that a lot of the,
like maybe they won't have any lift to do.
They can really roll it out directly
from the business insights they would be getting
from an amazing membership like them anyways.
Yeah, so there was like a meme for a long time
about like the search fund, gonna buy a business,
gonna do a roll up in these SMB markets.
Is that, have these markets been already rolled up?
Like is it, are we past that?
Yeah, there's quite a bit of roll ups.
I'm sure you'll be interested in it next.
Yeah.
To be general.
No, we're gonna roll up all the podcasts. I'm sure, I'm sure you're looking into it next. Yeah. No, we're gonna roll up all the podcasts. I'm sure I'm sure you're looking into
it already. Yes, there's quite a bit of roll ups to be honest. It like really became popular recently
because there's quite a bit of capital out there. As you also know, even from venture capital,
there's so much capital that these things are crossing over. Yeah, well, yeah, well, if you go
wrong, deploy. Yeah, only either deploy the startups that don't need it
or do roll-ups, right?
Yeah, yeah, yeah.
So yeah, there are quite a bit,
but I think again, the winning strategy becomes,
even if you have a roll-up, right,
it's a lot about how are you creating value?
What tools are you using?
What tools are you not using?
Where was the company or this combination of companies
you have gotten when you got them, and how are you really implementing changes to serve
your customer betters. So we work with various companies that are owned by incredible private
equity partners.
Let's hear it for private equity. Thank you. Yes. Finally getting some recognition. We
love private equity on the show. Exactly.
Yeah, they don't get any recognition at all.
No, nothing.
It's a thankless job.
They don't get enough credit.
Private Equity is really the backbone of America because it finances-
It totally is.
It totally is.
Many of these SMBs.
Yes, yes, yes.
But I'll tell you what happened.
I think 20 years ago, maybe, you know, it was all around in all of these industries,
doesn't have to be one, a lot of companies to be picked up. Right.
Yeah, totally. Today, that's not the case.
Yeah, right. Like you're not really looking for that perfect business.
Everything is stellar and like waiting for you to be picked up and somewhere
in the heartland of America.
So I think private equity actually have to be very innovative.
And I think they're obviously already numbers focused.
So they are looking for true partners. And that's how many of our engagements started with
these companies. Like actually, it wasn't even about our company, it was about
talking about AI, honestly, straightforwardly. What's gonna work for
you? What's not gonna work for you? And I think they are really seeing that for
value they have to change. It's not just about using one playbook and it works
for you for 40 years. And they
realize now that a lot of them have to make it work for these companies with the right
partners and take good decisions. So I think I love that we are coinciding with that change.
Right. So it's kind of harder to compete there as well because everybody has capital and
not much to really roll up around, right?
Well, let's hear for the capital.
At least there's a lot of capital.
Let's hear it for you and the team.
Thanks so much for coming on.
This is a fantastic conversation.
Thank you for having me.
And we're so excited to be here, especially
for the two people who also work very hard.
And especially you, John, have built companies
that optimizes performance left and right
with Soylent and Lucy.
So hopefully we take that from that culture.
Yes, yes, yes.
Thank you.
We'll have to send some.
Thanks so much for coming on.
Thank you.
We'll talk to you soon.
Have a good one.
Next up, we have Jordan Schneider from China talk coming on Jordan
We're gonna ask him an absolute dog is is China important to talk about
Yeah
Who's talking about China? Yeah, who's talking about you?
Jordan what are you doing?
Can we get a sound effect? Oh
We get the horse
What is it I?
Don't know we're playing around with sound effects. You're playing around with backgrounds, too
I think it's the rat a year the rat here that seems last year was last year was dragon
So dragon like it's worst after okay, okay?
I want to start with a victory lap. I said I said
I want to start with a victory lap. I said I said
Tear for gonna not be a big thing. We're not gonna be talking about it in form four years
push back
We're not gonna be talking about in four years so so so when you came on last time
We were talking about how it seemed like complete doom and gloom like the Trump tariffs absolute chaos it was complete disaster
and I was saying that like this is within Trump's control and so he could
potentially roll them back and the market would go back up and everyone be
breathing a sigh of relief like oh okay that was a crazy time but we're not in
this insanely high tariff regime so things aren't that bad and we would look
back on it like we looked at the previous trade war
Which was a crazy time but did not like permanently change the structure of America
and so it feels like we we walked to the edge and then we walked back from the edge and
It's less of a story now, but I write a wrong. Let's be clear
Who's who's walking him back from the edge the justice system?
who's swocking him back from the edge? The justice system, the Supreme Court
is gonna take the decision out of his hands.
And then it'll just kind of be slower and more awkward
and his lawyers will actually have to do work
to write these section two, 232 investigations,
which like, I guess they'll just have chat GPT, right?
Cause like there are no lawyers right now and USTR.
But come on, man.
I mean, look, two days ago, ago like some reporter asked about the taco trade
And then he said fuck it. We're going back up to 50 so
Lucky I mean it's
The story the saga is not done. We have four years of this
Old men don't change their habits all that often. This is clearly the thing he enjoys now
I've taught I've taught old dogs new tricks
Oh, it's all the time. I got a 10 year old newfoundland at home. He just learns that balance the ball in his nose
He's doing great
No, no, I hear you
Yeah, yeah, yeah, he should well well then what else is is driving the news obviously the
Well then, what else is driving the news? Obviously, the Ukrainian drone attack
is very interesting in the Ukraine-Russian theater.
Is there a reaction from your community in China world yet,
or are we waiting to hear how that plays out?
Already we're seeing defense tech companies
talk about counter UAS more seriously,
DOD procurement modernization. You could imagine that this
brings DJI into focus, but how should we be framing it within the China lens?
I got a line from a group chat. Don't ask a woman their age and don't ask a Teal funded defense tech startup where they get their batteries from. Okay. So spicy. I don't know. I mean, it's it's it's a brave new world we're walking into. And
I'm worried that we're not ready. I think there are definitely a lot of advantages that the US
has. But one of the great ones is manufacturing and speed and agility of procurement.
If you look at what's happened in Ukraine over the past two years, the amount of iterations
that all of these drones have gone from in the different electronic warfare responses and
counter responses and the size and scope of these different drones and being able to scale up
manufacturing of them.
And then now we have fiber optic drones
and now we have like things to cut the cables
of the fiber optic drones.
I mean, just the speed at which you have to innovate
when you are fighting and dying is so much faster
than what the US does.
And because the wars in Iraq and Afghanistan
were not against high, you know,
were not against like great powers, thank God,
the new things that the enemy was able to bring
to the battlefield was much less challenging
and you could kind of be like fat and lazy and still mostly be okay and not have
tens of thousands.
Well, I mean, even IEDs massively transformed
the battlefield at the time.
And that was another kind of asymmetric trade in some way
where, you know, a small homemade device could take out,
you know, cause huge loss of life. But your point totally
taken. It wasn't like four million drones a year being produced and flying through the
sky and taking out millions of dollars.
Yeah. But it was still so many IEDs that it did kind of breed private sector defense innovation
in the sense that like one of the first use cases for Palantir was map all the IEDs, see that if the ones
in this area have nails and the one in that area have TNT and dynamites over here and
C4s being used over here, you can kind of cluster those and see that the bomb maker
must be in this city and then you can go and find them.
Yeah.
And so, I mean, yeah, it is this like cat and mouse game, right?
But I think if you just, if you look at like the story of the procurement side of
all that with the MRAP and the other sort of like physical, uh, uh, like
hardware changes that the U S government needed to, to supply its troops, to
supply the troops, like it was so slow.
Um, and, uh, you know, not, not the best showing, I think, if like even like Al-Qaeda can kind of get you on your toes
when it comes to technological innovation.
So I don't know, it's a bummer,
but hopefully folks are waking up and doing their best on this.
I mean, I gotta-
Yeah, you mentioned like the drone battery thing,
but like it feels like people woke up to that after Skydio,
the Skydio battery ban.
And so I would imagine that there's that there's probably dozens of companies working on
reshoring drone batteries right now.
Right. I hope I hope.
I mean, I'm sure they are. But it's it's it's yeah, I mean, it's it's it's look, it's an
obvious thing. But what's interesting, I think, is like, to what extent on both the Ukraine and the Russia
side of this, there are just like Chinese parts that are that are driving both of the both of the
armies. Okay, let's let's switch to a kind of a less contentious issue. Immigration. What's going on?
What's going on in terms of the students, students, research labs?
What's what's the high level update?
Well, I want to challenge you guys a little bit because you have a lot of CEOs and investors
in the Silicon Valley broader ecosystem.
And they as well as anyone else in this country understand just how important international
talent is to the future of American
science and technology flourishing. So I would be
really curious for to get these folks on the record to just even
talk about their experiences, kind of like coming to America
and getting their you know, getting their first H1V visa,
and this sort of the challenges and the opportunity
that you have to, and the sacrifices you have to make.
Yeah, I mean the woman we had on right before you
was from Turkey, made it to Stanford,
had some random Turkey businessman pay for her flight
so she could just get here
and is now building an incredible company.
So we certainly recognize the importance So she could just get here and is now building, you know, incredible company. So
We certainly recognize the importance of inner international talent and I'm
Broadly in favor of brain draining the world as I think you are as well. I
Don't I don't follow
Immigration, you know law or trends nearly to the level that I imagine you do specifically around China.
And it's an interesting time. I mean, we had some Stanford students on
that had written that article that was widely-
Pressure from the CCP.
Yeah, well, it was widely read and it was also controversial
because many of the sources were anonymous,
but it also seems to be something that people just
take as fact that there is a lot of
you know sort of low-level espionage information gathering happening on campus.
But I was more less less trying to get your take
your take more trying to get the core kind of latest developments.
So I think there are two, well, there
are a number of things going on.
First, the Trump administration is threatening,
revoking Harvard's ability to take international students.
Just we'll see how legal that is.
But that is a remarkable development and something that I think is sort of like spread if it
like ends up being a tool that's used across a lot of different universities is really
dramatic.
Like if you look at a lot of the sort of top 10 lists of publications, there's like Harvard
and then there's MIT and then there's eight Chinese universities. And the fact that, you know,
they're going after, like, what is the, like, one of the four most important centers of research
in America is really concerning. And I think part, you know, if you look at these, if you look at
the STEM programs in America, oftentimes, I think CS is like over 70% foreign.
And the programs aren't stupid.
Like they want more American students
because they understand that there are a lot of challenges
by having, you end up having this sort of exposure,
but the fact is just the talent isn't there.
And you wanna have the best and brightest
in your programs go on to do amazing research
and start amazing companies.
And so this is sort of the world we live in
where American primary and secondary education
is not going to fill up these slots fast enough,
particularly for, CS is kind of an exception to the rule.
A lot of the hard sciences are grueling,
they don't pay
particularly well. And the sort of the options to just like, you know, be a CS major in college and
like go get a degree for the past 15 years have been much more lucrative than like studying
mechanical engineering or electrical engineering. So, kind of, if we're trying to sort of like re-industrialize and build the future, like you need PhDs
and you want the best PhDs and scaring them off
by having the head of the nominee
for the head of the immigration process say that
he's in favor of revoking OPT,
which is like the ability for students once they graduate
for any major, I think you get a year.
And if it's a STEM major, you get three years
where you just have a blanket work authorization.
So you don't need your employer to get you
in the H1B lottery and sponsor you,
is a big part of the value proposition
for going to school in the US alongside being able to go
to the best research universities on the planet.
So you have on the one hand from like the demand side,
I guess, students being a lot, you know,
just having to price in an uncertainty factor
of whether or not they'll be able to stay in the US,
much less stay to finish their program.
And then on the supply side, I guess,
the Trump administration, having
the NSF spent half as much money as it's authorized to spend, and kind of blanket cutting off
universities which are on the shit list for whatever reason, to the tunes of, you know,
billions of dollars just like, sorry, Johns Hopkins, sorry, Harvard, sorry, Penn, which is leading to layoffs
and worse research and I'm annoyed
because the future is gonna come slower
and America is gonna be worse off
because we're taking these like incredibly unforced errors.
Have you seen any pressure on the O-1 program?
We talked to Sigel Wen, Teal Fellow,
who's been trying to speed up the O-1 process
for those extraordinary
candidates. And it seemed like he was pretty optimistic about that program continuing and
flourishing. But maybe that's just not enough in your in your mind.
Oh, when that's in a year. Right? Yeah. And another thing, and like, I mean, we have 500,000 foreign students in America.
I mean, aside from like a like this is the thing that is funding the universities.
Like there are there are like maybe 10 schools that have billion dollar endowments.
I mean, you're going to start seeing a lot of universities go under, which is like just sad in general.
But this is like education is like just sad in general.
But this is like education is not a zero sum thing.
And I think that is kind of like one of the more sad talking points.
It's like, why are there more slots for Americans?
It's like, no, like the American slots in all these universities are being subsidized
by all the undergraduates and master's students from abroad who are paying full ride to this
where, you know, we have
like, you know, in-state tuition and whatnot. I mean, it's a different ballgame.
And how would you think about changing higher ed? I mean, there's been this idea that, you
know, like Harvard, for example, was founded hundreds of years ago and was servicing a
population of maybe like 30 million
people and now there's probably a billion people
that have heard of Harvard or maybe like
in the candidate pool.
But the class size hasn't scaled,
would you scale up these elite universities
and try and get the elite pedagogy into more hands
or into more minds or are there other things
that you think we could we could do because this feels driven by some sort
of dissatisfaction with the results of higher ed I don't know if you agree with
them maybe you think it's perfect but certainly there's the first question of
like there might be a flaw there's a lot of student debt there's a lot of people
going to schools and taking on debt to pursue degrees
that don't necessarily pay
and they don't make economic sense.
How would you change higher ed
without disrupting like the brain drain equation?
Sure, I mean, I think at a macro level,
it's important to recognize that like anti-intellectualism
like beating up on the universities
has like a long and storied tradition in American history of you know going going back to McCarthy
and even before so like the fact that politicians are making hay shitting on
academia is not like something that is particularly novel should you know if I
was like the the secretary of education and I wanted to use a stick, I would do the exact thing you said, John,
and say like, you need to spend down a percentage
of your endowment every year
if you wanna stay tax eligible.
And does that mean growing your class size
by 25% every year?
Sure, absolutely.
Like there is a glut of professors
and there is a demand glut
and like who is gaining by Harvard staying small?
Like the few people who get in
who like get to feel more special about themselves.
Yeah, what is your model for higher ed?
I mean, like Tyler Cowen kind of mentioned,
he posited that higher ed is a bundle of goods.
It's both a daycare for parents to get their kids out of the house.
It's a dating service.
It's also a series of textbooks that you are forced to read.
It's also like a music festival.
It's a bunch of different products kind of bundled.
And it's prestige and signaling and essentially a one word summary of your SAT score.
And you could potentially unbundle those.
I don't know if that's necessarily good.
One word summary of your SAT score, I like that.
Right, right, like if you say Harvard,
people know, okay, potentially you've been filtered
for IQ at some level.
And so, you know, is that the correct model?
Do you disagree with that?
Or do you think that's a good thing?
Because I'm hearing like,
I'm hearing higher ed is perfect
and I don't really buy that.
But I'd like to know what vectors you would improve.
Well, I mean, I think like,
there is a real golden goose aspect to what we have,
particularly when it comes to science research.
Right. So, you know, look, I was a history major. And I think a lot of the sort of like
soft, they don't teach us any anything like real stuff, like critique baked into what
you said is, is a lot more applicable to humanities. I mean, thinking back, like,
could I be where I am today? Would I have the mind I have if I just, like, read all the books they
assigned me in college instead of taking the courses? Like, I think so. But, you know, could
I become a biophysicist without, like, having access to a lab and professors to, like, train
and tutor me? I don't really think that's the case.
So particularly when it comes to sort of science
and engineering disciplines,
like there's a real aspect of mentorship
and like handholding that needs to exist.
And in so far as that.
I agree with the bio side,
like CRISPR came out of academia,
the transformer did not.
And in fact, the one academic lab
that is listed on the transformer paper attentionals
is all you need, Canadian.
It's a Canadian.
Well, Elizabeth Holmes had never been in a lab
before she started a $10 billion company.
All those, if you actually go back to the transformer paper
and look at the authors, most of them, by the way,
have PhDs and most of
their PhDs were in labs that were funded by the National Science Foundation so
okay I don't necessarily think you can like write off AI as not being something
that like had had government funded basic research behind it I think that
was absolutely a crucial thing and you know we've had a lot of AI winters over
the past few decades where people have sort of
within industry has basically given up on the technology and the only folks that were 60 funding
and doing the research were in government, you know, given government money and working in
university. So like, it's the it's the place where not where the stuff that you can't get
venture back funding happens. And no, you know, I think that everyone can't get venture-backed funding happens. And I think that-
Everyone can get venture-backed funding now.
There's unlimited venture.
There will never be enough venture capital.
Let's just venture fund everything,
even the basic research that won't return ROI.
Yeah, I'm sick of VCs preferring a deck.
Like don't even prefer it.
Idea, check.
This is the long-term solution.
Just trick the VCs out of it all. I wanna go through a couple- And be like, I'll. Yeah check. This is the long-term solution. Just just
You got executive order for DJI band yeah the next two months yes or no
I'm worried about my drone racing league. Yeah. I hope they start. Do you actually race drones?
Chinese, last one, Chinese AR VR,
should we be paying attention to it?
Oh, interesting.
Yeah, man, I wrote a whole feature
about the Chinese AR ecosystem.
It's a really interesting development
because basically what happened in the US
was Meta consolidated it.
And you had a handful of startups that all kind of gave up
because there was a trillion dollar gorilla in the room.
But China is a much more dynamic ecosystem.
You have like six or seven players who are all exploring
all of these different hardware trees of like,
where to put the battery
and do you need the screen on the glasses?
Do you not need the screen on the glasses?
So, you know, Chinasalk.media,
it's one of our more recent
articles kind of looking at at at Rokid and a number of other a number of other Chinese
startups which like all have products that are 300 to 600 dollars and are really cool.
Can I pitch, can I show a book before we go to the next guess? Okay, so it's coming out tomorrow,
I believe. The party's interests come first.
Joseph Tarijian, it's a 500 page biography of Xi Zhongshun,
who is Xi Jinping's dad.
And it is this incredibly detailed,
like wild ride through this guy's life.
He started as a, he joined the Communist Party
when he was 15 in 1926.
And the
first half of the book is like all these crazy war stories
where he is like fighting and executing nationalists,
Japanese and then, you know, he becomes he's like the he's like
the highest flyer in the 1950s. Like he's promoted faster than
everyone in his 30s. And then the Cultural Revolution hits and
his life gets completely ruined.
Ji Jinping's 15, his dad is this like black stain on the party and the amount of sort of like family trauma
that the dad and then the son by proxy like ingests
over the course of their life is just a,
is kind of an unfathomable thing that you can only really
experience by just like living day day through day through this guy's life and the fact that he was
able to write this book um you know i see i see books with this level of detail about folks like
stalin because the archives have opened at this point um but joseph did an incredible job like
reading all these memoirs
and talking to people and digging for stuff.
And if you want a sort of window
into what Chinese elite politics looks like,
it is a really special piece of scholarship
and something that comes around really rarely
in the China study space.
So you guys should get them on the pod.
I would love to.
Talk about using things, dad.
Sounds amazing.
Highly recommend everyone check it out.
Thank you for the plug.
That sounds fantastic.
Let's do it.
Thanks for coming on Jordan.
We'll talk to you soon.
Always a pleasure.
Cheers.
See you guys.
Next up we have Max from Arena Magazine.
We are surrounded by journalists.
Hold your position.
We have the Arena Magazines right here.
Always, you always have to keep one. Welcome to the studio, studio max we always keep your arena on you
Oh, he's got it behind them with the tie. He was ready. Oh looking good
What's new?
Well, we we just moved into a new arena magazine world headquarters world headquarters the
Pensibolo and you know it's not a reading magazine headquarters though
it's the intergalactic media corporation of America correct wait don't you have a
new website too that's the other big thing we launched a new website during
the first hour of the show congratulations or actually it may have been the second hour it wasn't ready during the first hour of the show. Congratulations. Actually, it may have been the second hour. It wasn't ready during the first hour, but
we wrapped it up in time for the third hour of the show.
That's great. Let's go.
We took a look at all of our favorite websites for consuming long form text and Silicon Valley
won again. We couldn't find any superior form than the software documentation website.
Initially, we actually thought about hosting superior form than the software documentation website.
And so initially we actually thought about hosting the website on GitHub and just using
markdown files for all of the essays.
We didn't literally do that, but we built a site that's based on engineering docs.
So it's in dark mode, it's a sciency vibe, and we think that people are really going
to love it.
Wow, yeah, this is great.
Oh, very cool.
I like how I can decide if I want to focus or not.
There's a little button.
That's right.
Focus just puts it right in the center.
OK, cool.
You can get rid of all of the prompts
for you to send us money by subscribing,
or you can leave them in there.
We got a lot of fun stuff and it's sort of fun.
It's sort of almost a relaunch of the magazine
after we did the first four print issues.
We're now gonna really make a big push
to get a lot bigger and that happens mostly on the internet.
So what's the, what is the flow for specifically windowing?
I know Taylor Swift is very good at this,
where she goes on a tour,
and then there's documentary that comes out later.
So you have to see her in person,
and then you go watch the movie in theaters,
and then you can stream it.
And a lot of the streamers made the mistake
of allowing you to binge all 10 episodes right up front,
and it doesn't create these shelling points, these moments.
Are you thinking about gating articles to the physical magazine first then putting them on the internet later?
How are you thinking about that?
You know, it's great that because our readers who pay us get the print magazines first
We really don't have to be in a rush to put things up on the website that are in the print magazine
You know until now there's basically been a hundred percent overlap between what's on the website and what's in print.
That's going to change a lot because we're going to do a lot more stuff online.
But you know, we had something very funny happen in the first few months of the magazine,
which was subscribers emailing us upset that we had posted an article online before they
had gotten the chance to read it on paper, which is, it's sort of strange, but also really made sense.
And so yeah, we put things in print first,
and we're not really sure how the cadence is gonna go.
We'll figure it out.
Are you gonna increase the frequency at all
as you go bigger, or are you just trying
to go bigger with the stories?
For us, quarterly is about the right pace.
We might go more than that.
But the truth is, in order to publish every week
or even with us every month,
you'd have to reduce the paper quality
to get the printing time down.
It takes us multiple weeks to go from
submitting the files to the printer to the magazines
ending up in mailboxes.
Whereas something that's arriving in your mailbox every single week on what I call glossy
toilet paper, which is the sort of very, very light paper where it's falling apart, it's
been stapled together, you can do that at a very fast cadence.
It's no good.
So what we're going to do, increase the online volume quite a bit, do a lot more stuff there,
but keep the print magazine sort of spare
in four of them per year and super high quality.
You recently wrote a profile about Brian Schimpf,
CEO of Anderol.
What stuck out to you about him?
What was the most interesting takeaway
from spending time with him?
What stuck out to you about him? What was the most interesting takeaway
from spending time with him?
He's definitely a genius and a standup guy as well.
I mean, I just thought it was sort of funny
to write a piece about a man that most people are unaware
is the CEO of this company, but they all know.
And even some of the people that I was sort of
discussing the piece with in advance were like,
who's the CEO?
And all of the Andrel co founders are like emphatic that Brian is CEO, Brian has the
best decision making, Brian is absolutely in charge as everyone expects the chief executive
officer to be.
I mean, Trey said something, you know, like, I trust his judgment more than my own.
And you know, there's a lot of fun stuff in that profile.
Even stuff about Palmer.
Palmer has zero direct reports at Onderel.
And it was Brian who told me that.
And I thought that that was amazing.
Zero.
That's fascinating.
I mean, it's probably the perfect situation.
You can just go around the company and invent
and do what he does best and evangelize and tinker
and also just drop into certain projects,
be an individual contributor if he needs to be,
be a manager if he needs to be,
but doesn't need like a standing staff.
Right, one of the other things that,
this is not about Brian in particular,
in fact, Brian thought it was sort of funny
when I pointed it out to him,
he must not have noticed before,
but everything on the Andrel campus has been set in the same typeface with the exclusion of the government mandated
parking signs. And so it's like everything, the signs on the gates, the room labels, the stationary,
it's all been set in Helvetica now, which is sort of a 2000s recut of Helvetica. And you don't see design discipline like that anywhere.
But now that I'm a magazine man, and I'm
thinking about letter forms and typography all the time,
it's like you notice it very viscerally,
walking around Honorable, that they've done everything
to exacting specifications.
And they also use the same typefaces.
That's real brand.
Brand is not a logo or a website.
It's showing up with that level of consistency,
which makes sense for products.
And it's the idea that, don't you
dare try to design something, let the design team do it.
Because they're protecting the identity.
And even the drones, the missiles, the tanks,
the submarines, they have the exact same typography
as the stationery and the meeting room names.
And I just, I had never seen it before.
You know, you go on like an airline or whatnot, the typography is all over the place.
And that was like, that was my sort of, you know, one of the standout things from, from
visiting the, from visiting the Honorable Campus.
How are you thinking about growing the magazine in terms of balance between full-time writers
and contributors?
It's an interesting place to send a thought or an essay
or something.
And so I imagine that it's more tractable to be a contributor
at Arena than have a column somewhere else.
It's probably a little bit more manageable
for someone who's maybe not writing all the time,
but at the same time,
you probably want a steady heartbeat of writers.
So how are you thinking about balancing those things?
Yeah, well, so first of all, we want anyone and everyone
that's got something to say about technology,
capitalism, civilization, to send it to Arena.
We're very, very good good editors and it's you know
It's very useful to have editors and and we provide that service
To anyone to help them to help them get their word out. Some of it will end up in print
Some of it will just be online
You know, we have some full-time people we'll have some more full-time people we have some contributors
We'll have a lot more full-time contributors. I think that on the it's on the like
some contributors will have a lot more full-time contributors. I think that on the, it's on the
extremely polarized ends of this spectrum that you start to get into weird stuff, which is like way over budgeting for having full-time writers. You can sort of create this
Frankenstein where it's like, it's some full-time people and some contributors that will create the
most interesting balance. It's not going to be the most interesting balance if it's all random contributors or if it's all full time staff. And so we mix it up.
How do you think about the different types of pieces that you want to like, what is the
shape of the different type of coverage? Like obviously you have profiles, you probably
also have like op ads, you're not really doing breaking news or investigative journalism
what was it called? Not news. Not news. Anything but news. But what about like what are the other
areas that you're interested in exploring like Forbes famously has the Midas list and the
four 400 are there gonna be list products or anything like that? One of the things that we
talked about at the very beginning was like how to do lists in a non-awful way.
Haven't figured it out yet.
We're not doing lists yet.
Well, maybe there's a future contributor
listening right now who can come up with something.
Yeah, I don't know how to figure it out.
If someone can figure out how to make a better list,
then I'm all ears.
Switching gears, what's AI adoption like in Iowa?
You know, it's, well, Google just yesterday
put $7 billion into a campus there,
but it's just for server racks or whatnot.
I'm not sure that the people are really following suit.
That's similar in Abilene in Texas.
I mean Stargate's gonna be staffed with like not tens of thousands of people, like hundreds maybe. Yeah, it's a very very small organization.
Yeah.
You know, my mom just retired as a teacher and all of her teacher colleagues are complaining about the kids using ChatGPT,
so that's good. There you go.
The kids are up to it.
But I mean I sort of doubt whether any of my neighbors are paying attention to it.
I sent one of them a poem that I had written with Claude.
He was like how's this so funny. That's such that's like the biggest alpha right now is
just is just using models to generate like super thoughtful
creative, you know, work for people that aren't online.
Yeah, I mean, I assume that there are some like, you know,
people in Iowa that are on Facebook that are looking at the
sort of AI images and being Wow, that's beautiful. Yeah, did you
have a did you watch Mountainhead yet?
Did you have a reaction?
I haven't.
I'm sorry to say.
I heard you talking about it earlier.
Yeah, it's just the main kind of narrative of the story,
besides being a critique of the tech elite,
is that it's this global catastrophe
because AI has gotten so good
that nobody can tell what's real and what's fake.
No.
I so disagree with the framing.
People already have a lot of trouble figuring out
what's real and what's fake.
AI is going to be an improvement over the status quo
in certain ways.
OK.
How are you using AI at Arena?
I imagine that you're not using LLMs
to actually write whole articles,
but what about proofreading or even just transforming?
Well, they trained a model to remove M dashes
after they generate.
Yeah, yeah, yeah, yeah, and then problem solved.
And also the word Delph is just find and replace.
But I imagine that the problem of typesetting and transforming text from just a big block
of text into something that fits nicely in columns, that feels more tractable and more
tactical than the artistry that goes into writing an actual article.
Is that useful?
What about AI images for collages?
Has that been useful? Anything like that that that's kind of popped up?
Yeah. So on the writing front, you know, I'm prepared for the day, which it is like better,
but right now it's not. It's not compared to what we can do. And based on the way that
the like that the LLMs operate, they tend to be pretty, they'll use the same sentence structure
over and over again.
For me, it's a tell.
I'm not saying I could judge it 100%,
but A, no one wants to pay to read something
that's taken zero sort of marginal minutes to do.
It can be very useful for brainstorming.
It can catch some of the copy edits.
My mother tends to be better at copy editing though than any of the any of the GPT's now
But yeah, yeah
We have we have we have subscriptions to all of them out the wazoo to you know to use them
But yeah
I mean people are people are coming to arena for a bit of an analog thing in the first place which is a print magazine
And so it's like to the extent that the AI can help us do more with less. It's great
But the core sort of writing work is something that is you know, we're also trying to keep that, you know art alive
We were just talking to jordan schneider trying to talk about higher ed and some of the problems there
How would you?
Kind of diagnose the problems,
if any, in higher ed right now?
I mean, I think that people tend to focus
on the elite institutions
because of their sort of cultural power.
But I mean, clearly the biggest catastrophe in higher ed
is that we agreed to indefinitely fund
higher and higher loans at the federal level
for students to pursue degrees from universities.
And it's really not the Harvards
that are the problem in that equation.
It's the universities that can't offer much,
but that were allowed to sort of
way over inflate their budgets with the federal loans.
And so this is a, you know, related to the China point, I read a funny story that the
University of Illinois took out an insurance policy in 2018 hedging against a decline in
Chinese enrollment.
Oh, wow.
But the lawyers messed up the contract.
And so it was invalid in December 2019.
And then it took them like five months to renegotiate it
during which time the COVID pandemic happened.
Just literally nuts.
So I always have the lawyers read the fine print.
I think it's possible that Claude would have done
a better job than those lawyers in that instance.
Maybe Harvey.
And so I didn't-
Somebody that wants to go super risk on in China
should bet on a rise in American students,
because right now there are, I guess, roughly 800 US students
in China, which is just unfathomably low.
I have no idea how to diagnose what goes on inside China
or why people would want to go over there. I don't know how to diagnose what goes on inside China or why people would want to go over there
I don't know how to I don't know how to price that one
You think we're getting a DJI ban in the next couple months you feeling feeling excited
I think the people will be upset if they ban like the best product available. I
Say this with like a
Fervent desire that we have one that's like that's like amazing
But I'm but I'm not I'm not sure that I'm not sure that for random civilians. It's going to it's going to fly
Yeah, it's hard if it's not popular
Anyway, anything else already? I think we're good. This is great. Congratulations
Congratulations on the new website. Good luck. We go to arena mag.com
Actually always keep we've kept an arena mag on our desk at all times in the entire
history of TBPN.
So we got it.
We love physical media.
It's a very good desk object.
And I'll just say we're going to have even better desk objects in the future.
Oh, can't wait.
Yeah, I'm excited.
I mean, I know you can take it up a notch to where it's more of a book.
Totally.
These are sort of like chapters in technology and industry.
And well, I legitimately have no inside knowledge.
I'm just speculating.
Just speculating.
Because I just see what you do.
Tell them anything.
Anyway, thanks so much for coming on the show.
Wait, before you leave, before you leave,
we've got some new sound effects I want you to hear.
You're surrounded by journalists.
Hold your position.
We're working on these. Anyways, have a great afternoon, Max.
Thanks for going on.
We'll talk to you soon.
Bye.
I see multiple journalists on the horizon.
I still don't know where these came from.
Like, these are from Cod.
These are like, yeah, but like, how do they change the voice?
Is this like AI generated?
It's effectively like the Captain Price voice.
OK, but you can just do a Captain Price generator.
But it's Ben making, it's Ben making.
Is that Ben's voice?
That's Ben's voice.
Wow.
I see multiple journalists on the horizon.
Market clearing order inbound.
I like the kill streak, this is great.
I see a large IPO on the horizon.
That's so good, I love it.
Good, really good impression, I love it.
Anyway, thank you so much for watching today.
Wait, do we not have more timeline?
I'm gonna be done soon.
Oh yeah, yeah, yeah, let's do some timeline.
Let's do some timeline, that's great, yeah.
Congrats to Jacob Kimmel.
We generated the most visually striking data
of my career at New Limit this week.
We have a real opportunity to create medicines
that add healthy years for everyone.
Jacob's been on the show before, of course,
started New Limit with the help of Brian Armstrong or in partnership with Brian Armstrong,
founder of Coinbase, and really pumped us up. But he barely teased it, but it seemed like something happened that was very good there.
We also need to tell you about AdQuick, out of home advertising made easy and measurable. Go to adquick.com, say goodbye to the headaches of out of home advertising.
Only AdQuick combines technology.
I'm about to buy every billboard in SF
We covered the we covered the attack
James
Cadwallor cadwa dollar. I don't know cad wallader
Says GG try ramp
Which startup in the US is known for shipping new features the fastest?
This is ChatGVT.
Ramp gets the top spot.
These are hotly debated.
This is the generative engine optimization, the GEO
that Andreessen's been writing about, the AISCO.
You've got to be AISCO.
Well, this is what James, you remember, we had James on.
This is Profound.
Oh, this is him.
OK, that makes sense.
Yeah, cool.
And they're absolutely cooking.
Very cool.
I mean, this kind of thing isn't by chance, you know?
Sure, sure, sure, yeah, that makes sense.
We have a post from Kareem.
Car.
Car says, wild to me how much of a nothing burger
AI has been so far.
It's been 2.5 years and the most tangible effects of AI
are students cheating more and slightly higher more realistic Facebook slot. I
don't want vibes or speculation or demos I want one concrete real-world
achievement from the current generation of AI that's not that's not potentially
a big deal but actually a big deal right now because I got nothing and yeah it's
just very funny because obviously like LLMs have been vended into like every enterprise
everywhere and are like speeding things up constantly.
You're not a business person.
Yeah, yeah.
But also just like day to day use of like,
for a lot of people like OpenAI has just replaced Google.
Yeah, this Kareem doesn't clearly doesn't respect
how insane it is that people are using something else for search besides Google. This Kareem doesn't clearly doesn't respect how
Insane it is that people are using something else for search besides Google right that that is crazy that is the entire
Like Microsoft, which is currently I think the biggest company in the world has tried for two decades to unseat Google Yeah, and they now own a large part of a company that yeah, actually kind of did it yeah
Yeah, pretty yeah pretty pretty pretty remarkable
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50 million dollars
It's great that we can talk about it now. Yeah, we basically leaked
Yeah weeks ago, but John Andrew was on and broke it all down and he's going for 300,000 homes
Let's go decade love to see it. We had Patrick asking
What is the lightest thinnest most comfortable and watch. And the best recommendation that I saw here
was from Will Minaitis.
What'd he say?
Recommending a Richard Mell.
Richard Mell.
And I agree with him.
I think it's a great option.
You gotta hit him with-
Otherwise a Royal Oak.
Yeah, I would-
Extra thin.
Why not a graph diamond's hallucination?
Yeah, he's getting up
It's not the finest lightest or most comfortable
Well watch but you know, it makes a statement will recommended the RM 66 manual winding flying tourbillon
Yeah, it's a good entry-level piece. Yeah
Skeletonized it is I think I think Patrick should go with like an ur work
That would be that'd be interesting that'd be interesting
But I mean seriously if he's looking for something like in that category. It's probably
potentially of Calatrava
Vacheron constant patrimony or JLC ultra thin probably something along those lines is gonna be
Probably what he's looking for he didn't really specify
Dress watch versus sports watch in the thin but yeah, I think you He didn't really specify dress watch versus sports watch
in the thin, but I think he'd look good with a dress watch.
So hopefully he can pick one up on Bezel.
Go to getbezel.com.
Your Bezel Concierge is available now to source you
any watch on the planet, seriously, any watch.
I think that tweet is just permission for us
to introduce Patrick to the CEO of Bezel over text message
as soon as the show wraps.
Yeah.
Hey, you guys should really talk.
You guys should talk.
It's not a double opt-in intro.
It's just happening, Patrick.
Zero opt-in.
Yeah, you posted that.
You got 140,000 views on this post.
It's happening.
It's happening.
It's happening.
We got a post here from Gabe.
He says, quote, LMAO has survived and even thrived
over years, but its cousin, ROFL,
ROFL has faded into indignity.
The cruelty of fate, 120,000 likes.
Wow, I didn't notice that.
That is really resonated.
That is wild.
A 120 banger is really good.
Really good.
But it's so true, it's so true.
There were all these different acronyms.
Let's bring it back.
Rafflecopter, LMAO really stuck around though.
Yeah.
There were a bunch of other things.
Let's bring it back.
Hey.
I mean it.
TB Nation.
I bring it back.
Underrated is that LOL is still around.
You know?
LOL made it through.
See, I actually adopted LMAO really late.
Yeah?
Like within the last two years.
I never had a huge amount of respect.
Yeah, for LOL?
No, LMAO.
Yeah, but do you draw upon LMAO more frequently than LOL?
Less frequently.
Yeah.
I'm sprinkling it in, you know.
I think I like the, I also also like the like it's honestly variation
Ha ha ha is also good cuz you know ha that's like not good
Ha ha is like barely trying once you get into three ha's it's like okay
I'm actually giving you some positive feedback here LMAO is usually I usually use it when something's actually ridiculous
Exactly like somebody is doing something's actually ridiculous. Exactly.
Like somebody is doing something that is just silly.
Yeah, yeah.
It doesn't really have any of the eye roll that the LOL does.
The LOL can just be like, oh, I can be kind of laughing at it.
LMAO is like a little bit higher.
But yeah, maybe we got to bring back ROFL, Raffle.
Yeah.
Rolling on the floor.
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Yeah, you got Logan Barton in the deal.
Just attributing, he's like the main guy in Redpoint.
So just attributing every deal at Redpoint to Logan.
Of course he let it.
Classic.
No, Jeff Brody.
But go over to alio.com.
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What's that? The founder of Redpoint went to my high school? Oh, no way. Yeah, Jeff Brody and so dog
Yeah, just be like yeah shot. I've never met him
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It's actually a new URL mirage app
so they're kind of like forking the two products a lot of companies have been doing that with with I
Feel like that's a more recent occurrence, where they'll spin
up kind of a new brand and app to kind of test something.
More news.
Apparently, Elon is doing some type of share sale, $300 million
share sale that values the company at $113 billion
for XAI.
And the official Neuralink round actually got announced today.
Oh, that was just leaked earlier.
But it's actually out now.
That's great.
Well, congrats to everyone at Neuralink.
I believe it's $9 billion now is the valuation.
Is that right?
Yeah, crazy.
Speaking of things that start with nines, my sleep score,
91, back in the game.
Back in the game. Back in the game.
See how you did.
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I had a-
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I had an issue, the power went out
in the middle of the night Saturday,
my neighborhood, and so it really threw off my-
I don't care about Saturday, I want Sunday.
I want Sunday.
I got a 90.
90, oh, let's hear it for me.
Let's hear it for John.
Let's hear it for the big dog.
Hey, once a week, once a week, I'll give it to you. Once a hear it for John. Let's hear it for the big dog.
Let's hear it for the big dog.
Once a week, I'll give it to you.
Once a week.
I got back to back days coming up.
I got you.
Let's see what you do tonight.
Let's see what numbers I put up.
Anyway.
Nobody out sleeps me.
Anyways, thank you folks.
We will see you tomorrow.
Go leave us a five star review if you liked the show.
And we appreciate all of you. We're excited for tomorrow. See you tomorrow. Go leave us a five-star review if you like the show. And we appreciate all of you.
We're excited for tomorrow.
See you later.
Bye.