TBPN - LIVE FROM NEW YORK: Ramp's Valuation Reaches $22.5B, Figma Going Public, The Personal Superintelligence Debate | Eric Glyman, Avi Schiffmann

Episode Date: July 30, 2025

(00:34) - Zuck and Personal Superintelligence (32:00) - Figma Going Public (45:40) - Eric Glyman, co-founder and CEO of Ramp, a financial operations platform, announced a $500 million Serie...s E-2 funding round, elevating the company's valuation to $22.5 billion. He discussed the rapid growth of Ramp, highlighting the launch of autonomous AI agents designed to streamline financial processes and the company's commitment to saving customers time and money. Glyman emphasized the importance of integrating AI into financial operations to enhance efficiency and reduce manual tasks. (01:13:39) - Avi Schiffmann, known for his innovative tech projects, discusses the launch of "Friend," a $99 AI-powered pendant designed to serve as a digital companion. He shares that the device has received positive feedback, including bulk orders from companies like Arc Boats. Schiffmann emphasizes that "Friend" is not just a productivity tool but aims to provide emotional support, with plans to release a feature film to further promote the product. TBPN.com is made possible by: Ramp - https://ramp.comFigma - https://figma.comVanta - https://vanta.comLinear - https://linear.appEight Sleep - https://eightsleep.com/tbpnWander - https://wander.com/tbpnPublic - https://public.comAdQuick - https://adquick.comBezel - https://getbezel.com Numeral - https://www.numeralhq.comPolymarket - https://polymarket.comAttio - https://attio.com/tbpnFin - https://fin.ai/tbpnGraphite - https://graphite.devRestream - https://restream.ioFollow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235https://www.youtube.com/@TBPNLive

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Starting point is 00:00:00 You're watching TBPN. Today is Wednesday, July 30th, 20205. We are live from Manhattan, New York. That's right. The Fortress of Finance, the capital of capital, the Temple of Technology. We brought the Temple of Technology with us to Manhattan. We're here live from New York City for a few reasons. What are we wearing?
Starting point is 00:00:19 We're wearing yellow suits to celebrate. That's right. Fund raise. Ramp raise their series E2 today. Congratulations. As one does. As one does. We will have Eric Lyman joining the show in just a little bit.
Starting point is 00:00:30 in about 50 minutes, 52 minutes, he will be joining. Can't wait. But first, we got to talk about Mark Zuckerberg. That's right. Who has been completely natified, Nat Friedman. They natified my boy. Already having an impact over at Meta. Will DePue has the post.
Starting point is 00:00:45 He says, LMAO, Zuck has been natified, plain text, Times New Roman, now going to hit mainstream corporate media like a bomb. And this is from Mark Zuckerberg's announcement of his a little bit more into his strategy and product, strategy with super intelligence. For everyone. For everyone, potentially. It's going to be personal. It's going to be personal.
Starting point is 00:01:05 It's going to be a personal thing. So he says personal superintelligence in an H1, clearly HTML tag. This is all in plain Times New Roman text. You can see post. He says, over the last few months, we have begun to seem glimpses of our AI systems improving themselves. The improvement is slow for now, but undeniable developing superintelligence is now in sight. that's kind of the breaking news.
Starting point is 00:01:31 This was like when we talked to DJCO over at NeurLink, and they said we are starting to see glimpses of superhuman powers from Neurlink patients. And we kind of were so in the midst of the conversation that we kind of missed that scoop. But a lot of these things are starting to see. It reminds me of the Buzz Lightyear meme where it's like everyone is saying super intelligence is now in sight. Yes, yes, yes. Yeah, I mean, the question is like it immediately, it immediately asks like, okay, what does that mean? because super intelligence broadly,
Starting point is 00:02:02 in some ways it means like higher IQ than any human, but also this idea of, of it's self-improving. Like that is the definition of super intelligence in many realms. And so the question is like, what was this glimpse? Is this? Because you can make the argument that using AI to write code in an, at a foundation model lab, is super intelligent.
Starting point is 00:02:28 even if there's still a human in the loop. Do you have to take the human completely out of the loop? And then what is the prompt? Because if the prompt is just go fix this one little bug and it does it and it does it agentically and no one touches it. That's different from the prompt being like improve the system. Or never having to prompt it at all. Yes.
Starting point is 00:02:46 Yeah, yeah, exactly. Because you've you've given it this plan of just. It's agentically, proactively. It just wants to improve itself. Yeah. And then there's also kind of like how nobody has to tell you to, bench press on my list. And the flip side
Starting point is 00:03:02 is like you can, like some of the algorithms for reinforcement learning feel like they are self improvement because you are not laying down a specific there are emergent qualities where like when they trained GPT 4.5 it doesn't feel
Starting point is 00:03:18 like that was RLed on 410 green texts and yet it gained the ability to do that and make them funny and it wasn't necessarily a like a stated goal. So you could imagine that that's an example of this, but all of these are kind of squishy definitions, but it's certainly a good rallying cry that we're on the cusp of this. And many of the Foundation Model Lab founders and leaders have been kind of like teasing this
Starting point is 00:03:43 and discussing how much have we seen here. But I think everyone would want more concrete evidence. Zuck put out a video on, I'm sure it was on Instagram and threads and Facebook and everywhere else but the video took an interesting angle he basically says he basically was like other players in the industry want to automate all valuable work yep and his message was effectively we want to give superintelligence to the people yeah and so zuck is uh yeah he's he's finding his his wedge into the market and he kind of he kind of did that with instagram and facebook in some ways in the sense that like he gave everyone a printing press.
Starting point is 00:04:26 He gave everyone a TV show or a distribution, potentially. It's in the algorithm. You still have to win. But everyone has the ability to publish now thanks to, and YouTube and a lot of other services, of course. But, you know, the modern social media networks enable anyone at basically zero cost to stand up an operation that previously had very high fixed costs. Yep.
Starting point is 00:04:50 In the sense of like you needed to own a TV channel or put wire. in the ground or buy a radio tower to distribute your content. And now you can just click a button and go live or something like that. Yeah. And the messaging was broadly around AI to help you improve yourself, level up, learn, things like that. So it's a very optimistic message far different than what some other executives in the industry have shared, which is all white color. The SSI, like the SSI thing is the most extreme where it's like, we're not even going to
Starting point is 00:05:19 give anyone this product. Yeah. Like we are going to have full control over the super intelligence. We're building the same thing, but we're distributing it. Zuck wants to make it free for 5 billion people. And Ilya, so far, you know, he hasn't really talked about this too much, but the vibe has been no one will have access to it. It will be completely self-contained.
Starting point is 00:05:38 And so a dramatic shift from what map and- Anthropic as well was saying, you know, all white-collar work, or 50% of white-collar work being replaced. Yeah, they kind of walked that back. Short timeline. But yeah. So the white-collar work thing is interesting because Zuck does address that a little bit. So let's just read through a little bit more of his post.
Starting point is 00:05:56 He says, it seems clear that in the coming years, AI will improve all of our existing systems and enable the creation and discovery of new things that aren't imaginable today. But it's an open question what we will direct super intelligence towards. And this is the question on like white-collar work, I suppose. In some ways, this will be a new era for humanity. But in others, it's just a continuation of historical trends. As recently as 200 years ago, this reminds me about that. that guy saying like 300 years ago,
Starting point is 00:06:22 we were living in caves. But this is actually true. 200 years ago, 90% of farmer, 90% of people of humans were farmers growing food to survive. Advances in technology have steadily freed much of humanity to focus on less subsistence, subsistence farming, farming for yourself, growing food just to keep yourself alive.
Starting point is 00:06:42 You need food so you grow the food and then you immediately eat it and then you go back to working on the food. And more on shoes. At each step, people have used our newfound productivity to achieve more than was previously possible pushing the frontiers of science and health, as well as spending more time on creativity, culture, relationships, and enjoying life. I am extremely optimistic that superintelligence will help humanity accelerate our pace of progress, but perhaps even more important that superintelligence has the potential to begin a new era
Starting point is 00:07:09 of personal empowerment, where people will have greater agency to improve the world in the directions they choose, as profound as the abundance produced by AI may one day be, and even more meaningful impact on our lives will likely come from everyone having a personal superintelligence that helps you achieve your goals, create whatever you want to see in the world, experience any adventure, be a better friend to you, those you care about and grow to become the person you aspire to be. Meta's vision is to bring personal superintelligence to everyone. We believe in putting this power in people's hands to direct it towards what they value
Starting point is 00:07:43 in their own lives. Yeah, super intelligence for the people. This is distinct from others in the industry, not name and names who believe super that super intelligence should be directed centrally towards automating all valuable work, and then humanity will live on a dole of its output. At meta, we believe that people pursuing their individual aspirations is always how we have made progress. You know a job that was impacted by technology? What? Knocker uppers. These were human alarm clocks that would walk the streets of London with either a long stick or a device to shoot frozen peas at windows to wake up workers in the
Starting point is 00:08:18 morning. So before... Real thing? Yeah, this was real thing. Before clocks, alarm clocks specifically were widely used, you would effectively pay somebody a small amount to come up to your window in the morning and hit it with a long stick or shoot it with peas. So this was a job that was impacted by, again, alarm clocks becoming widespread. How'd the rooster industrial complex fare with that?
Starting point is 00:08:44 Yeah, the roosters were down, were rocked by the original alarm. The original alarm The original arm. I would, if I didn't have neighbors, I think I'd get a rooster. A rooster. Have you ever, have you ever spent, yeah, they were called knocker uppers. Have you ever spent, have you ever like, stayed at a farm? Yes, one of my neighbors found a chicken and accidentally.
Starting point is 00:09:05 Accidentally got a rooster? Yeah, that happens. It was fine. It wasn't that big of a deal. Yeah. I wake up pretty early. No, I mean, it's nice as an adult. You're like somewhere around 5 a.m.
Starting point is 00:09:12 It starts making noise. It's kind of a nice noise. No, I get up earlier. I wake the rooster up. John wakes up the rooster up. You walk out in your yellows in your ramp suit. I'm sitting peas at the rooster. In your ramp suit.
Starting point is 00:09:23 Just. Yep. Very good. Well, speaking of white collar work, the Fed holds rates steady, but two officials are backing a cut. There's dissent at the Fed highlighting a fraying consensus among policymakers who are debating the effects that tariffs will have on the economy and inflation. So the journal just put this out a few minutes ago. the Federal Reserve held rate steady for the fifth straight meeting Wednesday,
Starting point is 00:09:52 but are faced with rare dissents from two officials seeking an immediate cut. These are officials within the Fed. Yes. The decision followed. Obviously, they're facing dissing. There's another official who's also in agreement with them. Venture capitalists. Venture capitalists.
Starting point is 00:10:06 Broadly. I was thinking about that the other day. It is interesting that, you know, if you look at real estate and private equity, VCs always get memed for benefiting from low rates, but in many ways, VCs can continue to deploy into companies because they're just betting on that company's prospects over a very long period of time. If you're trying to deploy into real estate and traditional private equity and rates are high, things are way, way less workable. So I think big real estate and big PE are really trying to shift the ZERP blame on the venture capital class,
Starting point is 00:10:41 and I won't stand for it. Yeah, I mean, there were a lot of companies that, like, startups, they got hurt during the interest rate rise. Some of them. Some fintechs were sensitive to rates, but many weren't. I mean, you think about banking products. And if they're like all of a sudden, we went from offering our customers 2% interest on their deposits to 6% or 5%. And that just allows us to take, you know, a fraction of a larger, you know, interest rate payout every month. That actually improved their economic.
Starting point is 00:11:13 Yeah, Mercury is the best example of us. Every time the fit for... Were they profitable? Yeah, yeah. They're printing money. They still are. And every time the Fed would hold a meeting, their revenue would basically go up immediately with no, they didn't need to hire new people.
Starting point is 00:11:27 It's just default based on the Fed funds. So that kind of like, you know, it hurts some of the FinTech. It helped some of the FinTech. And then a lot of just the normal software companies were like completely unaffected, sort of loosely broadly. Loosely affected because maybe VCs couldn't raise their next fund. Yeah, but it was like very different. As opposed to, like, we know examples of people who started real estate roll-up plays, bought a bunch of facilities, got variable interest loans on them, and then...
Starting point is 00:11:53 And are now producing like 1% yield. Yeah, exactly. And then when the interest rates went up, their mortgage payments on all those assets went through the roof. Yeah. And all of a sudden, they were upside down on all of their economics. So very rough. Yeah. If you went heavy into SF real estate in 2018, 2019, 2020 on variable rate loans, you just have gotten absolutely cooked.
Starting point is 00:12:12 Even the meme of like buy a boring business. That's the example I'm thinking of. Yeah. Is, okay, you bought a boring business that cash flows, you know, a million dollars a year, but you bought it such that you have, you know, okay, 500,000 of that cash flow was going to service the debt that you used to buy the asset. And then all of a sudden your interest payment on that loan doubles, then you're not making any net profit all of a sudden.
Starting point is 00:12:36 And that really puts you out of it. So Fed officials maintain their benchmark policy rate in a range between 4.25% and four and a half percent as they weighed how importers, retailers, and consumers will split the cost of bigger gong hits. Sorry, cost of higher duties on imports. The outcome of hand-to-ham combat over who will bear the burden of terrorist figures to shape the trajectory of inflation in hiring later this year, which could resolve whether and when the central bank resumes cuts in the months ahead. So hinting at a September rate cut, or at least that's how people are kind of like reading through the lines here. Yeah. I mean, also we,
Starting point is 00:13:12 We blew out the GDP numbers, right? It was like 2.2 was the expectation. It came in at 3. Amazing. Quick hit. A lot of people are, a lot of people are, yeah, we got a, we got a new gong here in the great city of New York. Okay, I want to go back to the personal superintelligence thing for a little bit with Zuck. So this is distinct from others in the industry who believe superintelligence should be directed centrally towards automating all valuable work.
Starting point is 00:13:41 it feels like maybe a shot at SSI or Anthropic or Open AI, but I feel like I've noticed that Sam Malman is, yeah, maybe, is they're turning down Zucks billion dollar offers, which we'll get to. But the interesting thing there is that I feel like Sam Altman's been sort of pivoting his rhetoric around this. And he said something similar recently where I think it was in the soft singularity in that blog post. He said something similar to as recently as 200 years ago, 90% of were farmers and his point was if you went back in time and you showed a subsistence farmer in the year 1800 hey there are these people like let me take you at a tour of the modern economy
Starting point is 00:14:23 here's someone whose job is email is email yeah that that that's that that's like a hundred years from now we're going to look back and be like nine you know like why were they doing email everybody that went to school became an email professional it's like yeah yeah yeah or like calendaring or phone calls. I mean, wait, they had to use the computer. Yeah, why? They had to, like, physically hit the buttons. Why didn't the robots just do that?
Starting point is 00:14:45 Yeah. Why do you need key? If it's a machine, why do you need to hit? Yeah, and it's scary because it's like, okay, well, like, if I'm not doing that, am I doing anything like my email job. Yeah, yeah, yeah, my email job is directly tied to, to my self-worth. Yeah, and my subsistence. Yeah.
Starting point is 00:15:00 And it's the same thing. If you went back and said to somebody in 1800, hey, you're growing food, but in the future, you won't, you won't have a job as a farm. they'd be like, well then I'm screwed, right? Like I'm done for. It's like, no, you'll have an email job. You'll be able to, you'll be able to do email all day. But we need to debate more about like what this actual product looks like, because we were talking about that earlier. We know that when you, they're charging you 20 bucks or $200 a month because it's expensive. And we were talking to George Hotz about this and he was saying like, they're losing money on me just because
Starting point is 00:15:33 the inference costs. Yeah, Claude came out yesterday and said one person was costing them tens of thousands of dollars a month on their $200 a month plan. Exactly. There was also, so Sam is projecting to spend $35 billion on inference and $55 billion on training models between 2025 and 2027. So I'm less worried about the training model. I see that as CAPEX. I'm more thinking about the total inference cost right now across all the major labs.
Starting point is 00:15:57 Like, it's got to be in the billions. It's probably not in the hundreds of billions. If you look at how much open AI and anthropic have raised and how much they're burning, a lot of that goes towards salaries. but if you just look at the actual inference cost, it feels like Mark Zuckerberg could eat that cost for a long time. And then if he wants to keep it free, there's the very logical path, which is ads.
Starting point is 00:16:16 He already has the most robust, most targeted ad network, and he can bring all those ads in and start monetizing those users. And so the more you're using, the more ads you see, it's perfectly aligned, it's an auction. And so someone who's doing low, low economically valuable work will see like cheaper ads. It's perfectly price discriminated. So I don't see meta as having problem like scaling inference and keeping it free.
Starting point is 00:16:40 The questions we're going back. Yeah. Yeah, the questions I have are that wasn't exactly answered here. Although reading between the lines, it's maybe less important. It sounds like a shift in strategy. But doesn't, when I read that announcement, I don't think, oh, they're going to go heavy into open source. Like that doesn't scream. That doesn't scream, we want to be the number one open source model. They might still, but this feels more like an application play to me.
Starting point is 00:17:02 Yes. The areas that you can imagine Zoc. wants to dominate in, are in create the action of creation. So content creation, it's heavily ties into the meta ecosystem already. Their business is dependent on, you know, billions of people globally, creating content all day long, some professionally, some recreationally, but all of those people he wants to serve there. The knowledge, kind of learning, I think, he's signaling here that he cares about. He clearly understands that chat GPT has incredible PMF around, around just like learning, understanding the world, et cetera.
Starting point is 00:17:35 Yep. And I could see him playing there. The areas that I'm interested to track going forward are how much, how much resources go into this companionship, right? That's another area that's like driving up user minutes on chat GPT, right? And we've talked about it before. That can ultimately threaten the time that, you know, if people start spending two hours a day with chat GPT,
Starting point is 00:17:57 that's potentially two hours a day that they're, you know, maybe they have it on audio mode and they're still using Instagram, but it's potentially threatening user minutes on his platforms. And then the big one, probably a long shot, but just search, right? I'm sure he's always want, you know, search multi-trillion dollar market, very, very... He was going to launch a search engine for a while. Yeah, back in the day. Like there was a point where you, like, the search bar in Facebook was getting so powerful
Starting point is 00:18:24 that you could search the web, never became a serious Google competitor. Yeah. It was a plan. And the other thing here to track is, the other thing here to track is, uh, threat. We got to like do a proper like new deep dive on threads. I don't think when it launched, we didn't even have the show. But it sort of launched, peaked in the charts, fell off completely. But I think it's building back up.
Starting point is 00:18:43 There's actually quite a lot of activity there. And he's going to have confidence to see like, okay, I have WhatsApp, I have Instagram, I have all these different platforms that I can drive users to. I have the best ad engine in the world. If I want to, if I want MSL to create these like new consumer applications, I'm going to have the ability to get those in front of billions and billions of people. So it is a massive unfair advantage on the, uh, just like training and inference in the Kappex side. And then massive distribution advantage. Open AI is benefited from, you know,
Starting point is 00:19:12 tremendous organic virality, everything from just people telling their friends to these studio Ghibli moments. Yep. Et cetera. Um, but, uh, but yeah, it'll be interesting to see, okay, where does he really want to compete? Does it look like something like chat GPT? That chat GPT again is this like incredible tool that allows you to do all these, you know, anything you want. You can study with it. It can keep you company. It can help you with your homework. It can help you write emails.
Starting point is 00:19:36 It'll transcribe a meeting. It'll make an S1 for you, right? And so those are the big things. It's like, okay, we have a much better sense now of where the team is going to be focused. Again, it doesn't read like open source to me. But it's still, there's so many different ways that you can kind of like chop up the category and the opportunity. I have a rebuttal. But first, I'm going to tell you about Vanta.
Starting point is 00:19:58 That's right. compliance and security and trust with Vanta. Go to Vanta.com to check it out. So my rebuttal is that the, so the question that I have, I agree with a lot of what you said. I guess the question is, I have this personal superintelligence. Do I want it in a meta property app right now? Or do we need a new app?
Starting point is 00:20:19 And then if I need a new app, that's really hard. That's what I was saying. Well, really hard. But at the same time, how many ways I redownloaded threads because I kept getting notifications and it would tell me something to the effect like it would give me three words out of like an interesting you know post and I could only see it if I red downloaded it right yeah yeah and so I'm just wondering about if I if I'm if I'm interacting if I go to Instagram to do my homework I'm going to get sucked into reels right and it's like I want to go to the library to study
Starting point is 00:20:54 and chat GPT feels like a library and it's been very difficult even if you have massive distribution to actually scale share of queries even even I mean threads have what seven percent right so so threads I think is a special case potentially because of the political dynamic of Elon Musk whereas with there's no political dynamic between chatypti and Gemini Google has massive distribution they've been able to get to 450 million DAUs or MAUs yeah but they haven't been able to break over like 10 percent of queries, share of queries, something like that. And so I wonder if, you know, you launch a consumer app for studying and your personal
Starting point is 00:21:38 super intelligence, like the logical way to distribute meta's AI projects and products is through their existing platforms. Yeah. And so. Yeah, and you can imagine that. You're in the Instagram tab. You have a boring picture. It makes a Ghibli version of it.
Starting point is 00:21:52 Even if you're in a, like imagine you're in a study group with a couple of people in the same class in a WhatsApp chat. And then there's a super intelligent person. There's a super intelligent agent or AI in the chat with you. And you can talk to it and you can answer it right now. So to be clear, they have the meta AI app. Sounds like you're not a DAU yet. But it's number three on productivity.
Starting point is 00:22:12 I imagine Zach wants to get that to number one. Okay. You could imagine. The other form factor here is obviously glasses, right? He's just invested billions into owning a piece of Luxottica. I imagine as part of that investment, he gets, it's going to probably make it so that other, AI assistants can't get access to.
Starting point is 00:22:30 That's actually maybe the better like personal super intelligence like tutor. He says that in the video. He says that in the video. A lot of a lot of what he says in the videos. Put on your glasses to read a book. If you have if you're, you know, far-sighted. You put on the glasses and so you put on the glasses to study. And then it's it's seeing the textbook that you're interacting with.
Starting point is 00:22:47 It's seeing your screen and you do any, but specifically like the meta ray bands don't have the ability to show you an endless stream of reels. And that's what I'm most worried about is that if if you're- No, they do. though. Do you remember that? Orion does, but not the meta. I know, but that's where we're going. Yeah, I don't know.
Starting point is 00:23:03 Maybe, maybe it's like, you don't think they want to merge Orion and Raybanks in the future. I don't know. I just think that like it would be like, I mean, it's already, you can already do products. If I had to choose two different products for an educational, like environment, and I have one that's ad free and distraction free. And the other one is like, do you want to see this amazingly viral? I'm not, yeah, I'm not betting, I'm not that, I'm not betting that American students will be using Instagram to study with them at all. But, but yeah, it does feel like, you know, Zuck's vision is the, the, this is, he's making a big bet on, you know, vision, VR, AR being the future computing platform.
Starting point is 00:23:47 He talks about this saying, you know, you're going to be in your kitchen, looking at your fridge. And it's going to be like, hey, did you know that you could make this kind of cassidia? I see you have the ingredients. I'll give you a recipe. And then you just like make it and it guides you through it. And then again, like you said, you're reading a textbook and it's popping up. You can ask questions in real time to the AI based on the information that you're seeing or you're studying or even the interesting data point. I think it was yesterday they came out and they're saying they're letting applicants use AI in coding interviews.
Starting point is 00:24:15 Yeah, yeah, yeah, yeah. Which is total cluelly victory. Credit to Roy Lee there for making cheating. Controversial branding, but direction. Correct. Yeah. For sure. Well, let's go into the potentially bigger bottleneck for super intelligence at MSL. But first, let me tell you about linear. Meet the system for modern software development. Linearer is a purpose-built tool for planning and building products. So, interesting comment. This comes from Rehar Jark. An interesting comment from former Meta employee
Starting point is 00:24:48 energy is the biggest bottleneck right now. Even if Meta wants to spend $100 to $150 billion on CAPEX for AI infrastructure. They can't. It's not just NVIDIA. It's not TSMC. Transformers, power equipment, cooling equipment, and the availability of power is all limited right now. Schneider Electric is completely booked until 2030. Even if you have the money, you can't spend it. And this is from, oh, this is a screenshot from like a GLG call or Teague's call or something. He won't. So is he serious? It must be AlphaSense or something like that. So they're talking about meta-capex and they talk to this anonymous expert who is clearly a former meta-employee says, yeah, there's no way you can spend $150 billion right now. If we look at any of the transformers, not the machine learning architecture, but the actual physical energy transformers or any power equipment or cooling equipment or even construction or availability of power, there's no way it's going to happen.
Starting point is 00:25:43 If you talk about Schneider, who supplies a lot of the power equipment, they're completely full until 2030. They're not negotiating on price. It's basically you're lucky to get an order. Everyone talks about Nvidia, but there are many other things beyond Nvidia for this thing. Even if you have the money, you can't spend it. And Josh Steinman quoted this post and said, if you're an American engineer and want to lead the technical aspect of building a transformer company, my DMs are open. So apparently there is an American, a new American transformer store. Remember I've been asking, I asked the transformer architecture, CoreWeave, and I also have some semi-analysis.
Starting point is 00:26:18 folks, like we've all learned about NVIDIA, then we all learned about TSMC, then we all learned about SK Hynix, the memory supplier. Like we've learned the entire supply chain of AI and I was like, what's the next company we're all going to need to learn about? And it sounds like it's Schneider Electric. I've never heard of this company before today, but we got to dig in and understand do they have competitors? Is there an opportunity?
Starting point is 00:26:38 What's going on? I'm very curious to know how Schneider Electric works. But continuing on Zucks. This is a French company. French company. Founded in 1863. Founder mode. So they're, I don't think they're still going to be hard to be in founder mode if you got started back in the 1800s.
Starting point is 00:26:57 But they did about $36 billion in 2023. So massive, massive company. Is the market cap? 137 billion euros. Okay. So I don't know. That's like what a billion? Yeah.
Starting point is 00:27:13 $50 bucks. Anyway. Will DePueu says, The bigger story is not that Zuck is giving out $400 million offers. It's that people are turning them down. What might that mean? Of course, Will works at Open AI. Not conflicted at all.
Starting point is 00:27:28 Not conflicted at all. Zuck is targeting Mirrors Lab thinking machines with offers between 200 to 500 million made to a quarter of their team. And one over $1 billion and not a single person has taken the offer. And there's some people going back and forth on like what that means. Maybe you just believe in the mission and you already have. have 1% of the company and you think it's going to be worth a couple hundred billion. So you're like, yeah, I'll just wait and deliver on this and I think we're going to win. You could also not want to go work at a big company.
Starting point is 00:27:56 There are a variety of reasons. Also, if you've worked in AI for the last four years as a top researcher and you're not worth at least 50 million by now, like what are you doing? Yeah, a lot of the thinking machines, folks, like the reason people speak so highly of them is that they were at other foundation labs. Great labs. Great labs early on and probably got big stock grants that have grown a ton. But they've been able to get liquidity against.
Starting point is 00:28:19 And this is real. Yeah, I mean, there's so much information warfare happening right now, right? There's so many different incentives for people to say, oh, it was this offer and they turned it down. Or there was no offer made or it was, you know, somebody from Meadow was chiming in and saying, like, we made a few offers. One was big, but there's a lot of misinformation here. The real problem is that there aren't. Whole market and misinformation. For sure.
Starting point is 00:28:40 The real problem is that there aren't, there aren't enough luxury goods. Like, if Zuck really wants to make people bite at a. a billion dollar offer like what's the difference you're making a hundred million a year and making a billion it's like it's about you're going to buy yeah maybe a boat but he should start a new watch company a higher end richard mill that's right five million dollar entry point i think i think you're on to something need a hypercar company that starts at 75 million dollars you just buy the top five somehow i don't think this stuff appeals to AI researchers yeah they don't see a lot of them they're immune they're immune flex culture yeah but yeah i mean also if they're super aji
Starting point is 00:29:13 I pilled, like they just are like, what's the value of money in a couple of years? Who knows we're going to be in a completely different economy? There's a whole bunch of different, there's a whole bunch of different reasons, but maybe they like the team. Yeah, the other thing is, I think many people will be uniquely motivated by winning and challenges and then having a, you know, do you want to be one of the top five people at thinking machines or do you want to be the number 30, the 30, the 30, fifth you know researcher at at a bigger organization yeah a lot of people want to have that
Starting point is 00:29:48 there's also been so much like memetic warfare around this where like if you take the offer you're instantly branded as a mercenary forever and yeah you can never be seen as a missionary and i was getting i was getting some notes from a from a few people about uh so we released the medis list uh a collection of top a i a loose a loose collection of top ai researchers yesterday cool people It's just a bunch of cool people. Alan Turing, people were pissed that he was included. They said he fell off. Was underrated.
Starting point is 00:30:18 But yeah, I was getting some interesting notes around a handful of people in the top 25 saying, you know, this person was kicked off of every team that they've ever worked on, which is funny. They've got to be way lower. They shouldn't even be on the list. So. Anyway, it was all in good fun. We love everyone on that list and many more.
Starting point is 00:30:37 And we're going to expand it and add to it and have more fun with it, hopefully. Eventually everybody will be a researcher. And the other thing is Elon came out yesterday, right after we published the METIS list, saying they don't have any researchers anymore. Everybody's engineers. I think it's a good framing. I think it's very possible that some researchers want to self-identify as engineers. And if you're an engineer, I think it's cool to all be in the same bucket. And so I think that I can make a lot of sense for XAI's culture.
Starting point is 00:31:05 Well, whether you're a researcher or an engineer, you've got to get on graphite code review for the age of AI. Graphite helps teams on GitHub ship higher quality software faster. It is an interesting debate about are we in an age of research or engineering at this point? And it feels like Elon is the master of engineering and is rarely trying to come up with like... And infrastructure. Yeah, infrastructure. He's rarely trying to come up with like the completely novel, new science. But he believes that Grock at a certain point will be able to do that.
Starting point is 00:31:37 but if you see how fast he's racing. He's going for the greatest feats of engineering. Engineering. And that's the culture is like engineering. He's like, I started a research. I started a research nonprofit almost a decade ago called OpenAI. I'm over research. I'm over research.
Starting point is 00:31:53 I'm engineering. I'm doing engineering now. Anyway, let's read through Ben Thompson's analysis of the Figma S1, the Figma OS and Figma's AI potential. Finally. We're in Manhattan for Figma's IPO tomorrow. We're very excited about that. We will be live from NYCY, the New York Stock Exchange.
Starting point is 00:32:10 Yes. Cannot wait. So Bloomberg has a story here. Figma's initial public offering is approaching 40 times oversubscribed, according to people familiar with the matter. Is that good? And collaboration software. We'll have to ask everyone tomorrow if it's good.
Starting point is 00:32:24 Did they get the same revenue multiple as how oversubscribed they are? Could be the year's most in-demand listing. The company is guiding prospective investors at its IPO, which could raise as much as $1.2 billion, is expected to price above. of the marketed range, the people said, the San Francisco-based firm and some investors are offering 36.9 million shares at $30 to $32 per share after increasing the range Monday from $25 to $28 each.
Starting point is 00:32:51 Order taking is expected to end at noon on Tuesday in New York. Bloomberg News has reported over-subscription refers to when the number of orders for shares in the IPO exceed shares that were originally offered. And so, a lot of demand for Figma shares, which makes sense. It has been one of the most in-demand secondary. It helps you think bigger and build faster.
Starting point is 00:33:12 That's right. It helps design and development teams build great products together. What's not to lay? Nothing like mixing an ad into, at least this is Ben Thompson's analysis, right? So Ben Thompson is not sponsored by Figma. No, he's not. We had a friend of the show come on and break down the S-1 when the numbers dropped. And it was kind of like the dream case for SaaS, right?
Starting point is 00:33:33 Coming out and immediately being the top, you know, From a purely metrics-based look, the top SaaS company in public SaaS company in the world. And of course, a lot of people point to the rule 40. You add the growth rate to the burn rate, how much money you're losing. If you're losing a lot of money but you're growing really fast, that's fine. If you're making a ton of money but growing slower, either way, they should add up to at least 40%. Higher the better. And if you add Figma's up, they're in the 70%.
Starting point is 00:34:03 So well beyond 40%, 40% according to the rule. 40, which is, of course, exciting to the venture capitalists who popularized the rule of 40. They basically created profitability. So he says, I think you can make the case that an $18 billion valuation is in fact too low. Indeed, I think you could make the case that the company is worth more than $20 billion. Adobe agreed to buy it for $20 billion back in 2022. That, of course, is despite the rise of generative AI, which at first glance appear to be
Starting point is 00:34:30 a threat to Figma because you just go to chat GPT and say, hey, build me a collaborative software tool and maybe it just don't make mistakes don't make mistakes um but he says i would go in the other direction generative uh generative AI and the opportunity it resents represents is exactly why figma should go public as field strongly suggests uh and get ready to be acquisitive get ready to get ready to get bought do some deals we love we love it dill and field deal the figma OS uh ben says the reason why i'm optimistic about figma comes from my belief that figma is not simply design software rather it's something much more fundamental and valuable an operating system with a collaboration built in here is how i explained figma back when adobe tried to acquire them
Starting point is 00:35:15 forgive the long excerpt he says but it really is the point as far as my optimism about figma is concerned he says here it is important to note that figma's most prominent victim to date has not been adobe but rather sketch the explosion in apps led to a growing market for product and design Product design and development as designers needed to lay out a whole host of different app views and developers needed to know what exactly the designers wanted them to build. Photoshop and Illustrator, which were primarily focused on the creation and editing of single files, were the completely wrong tools for the job. Sketch, which was released in 2010 as a MacOS app and is still MacOS only,
Starting point is 00:35:52 although it now includes the ability to view files on the web, completely took the category by Storm. Adobe eventually responded with Adobe X-D. but not until 2015, and the product is still in third place. Sketch, though, is now only in second. Really quickly, let me tell you about adquick.com, out-of-home advertising made easy and measurable. Continue, Jordy.
Starting point is 00:36:13 Chris, the CEO of AdQuick is in New York as well. We're going to try to meet up with them in a little bit. Sketch was not a disruptive product. It was, like Adobe's products, a desktop app. It just delivered a solution to an emerging product category that Adobe was as slow to respond to, and that was like the designing of web and mobile. products. Figma though was something completely new. The company which was founded in 2012
Starting point is 00:36:37 made a bet on the browser and spent a full four years building V1 of the product. This included, which is just so funny because normally if you talk to a founder building a software company and they said yeah I'm three years in and I haven't shipped an MVP, you would just immediately write the company off because like you know why haven't you shipped. In this case it was necessary. Quit your job, raise $10 million, Vibreel, launch video, slop, like, product in two seconds like that's the that's the flow and then a time of bugs and then and then then maybe it works but it's a don't worry about securing personally identifiable information
Starting point is 00:37:11 at all just get to the top of the charts and figure it out later so this included writing the editor and c++ plus cross-compiling it to javascript using the asm.js subset that let it achieve desktop like control of memory and performance and building its own rendering engine from scratch using WebGL, which had only been released in 2011. WebGL was the Y now for the business, and Dylan was very early to recognizing that. It was the epitome of leveraging new technologies to compete on a new vector, which in this case was collaboration. And, you know, anybody under the age of 25, like, probably doesn't remember the pre-Figma era, but like having different files and sending them back and forth and, like, sending comments by email. It's just like, it, um, uh, you.
Starting point is 00:37:59 Even personally, I only briefly was working without having access to Figma. So Ben says, think about my brief description for this product design and development segment. Multiple app views created by design and implemented by engineering imply at least two different people working on a project, a designer and a developer. In reality, the huge number of views and increased functionality in apps meant that there was an increasingly large teams on both sides. Sketch definitely made it easier to design an app in one place, but it did nothing to make it easy. easier for teams to work on the app together. Figma, because it was native to the web, effectively got collaboration for free from the beginning.
Starting point is 00:38:37 Yeah, this is a crazy screenshot. I don't know if we can show this, but on Figma's website, the company compares itself to Adobe XD, but I use Photoshop and Illustrator. Don't stop. We believe you should use the best tool for the job. If you're photo editing, choose Adobe Photoshop. If you're doing detailed illustrations,
Starting point is 00:38:54 Adobe Illustrator is a no-brainer. But if you're looking for the best tool for UX design, Figma is here for you. Plus, you can easily import images and SVG code into Figma and have your cake and eat it too. And so putting the competitor's products right there. And recommending it. Eventually, Photoshop and Adobe did launch a competitor called XD. And XD wound up is getting killed by Figma, but no one ever subscribed to Creative Cloud for XD.
Starting point is 00:39:18 You just used it because it was here. So it's Ben Thompson. Here's the problem, though, to the extent that Adobe's products were being used as part of Figma's workflow was the extent to which Adobe was slowly but surely losing control of. its long-term relevance. Figma could, for example, start investing much more heavily into its photo editing or illustration capabilities, rendering Adobe's products increasingly unnecessary. What is more threatening is Figma's cross-platform capabilities. Third-party developers can build plugins for Figma that make it possible to easily add the sort of
Starting point is 00:39:46 editing capabilities. So, regulators blocked the Adobe deal, and Ben Thompson says he thinks it was correct. The regulators got to correct that time. And based on the run that Figma's been on ever sense. It seems like it could be a win for them as well. Yeah. And it's interesting because a lot of people. Fane roller coaster for the team. Yeah. And, and Figma, I think during the acquisition process, clearly didn't have the insane urgency to launch new products because they thought they were going to, you know, Adobe and would be part of an organization with a bunch of different individual apps and watching how they reacted after it was blocked and then came and just started shipping like crazy. And so the FTC is.
Starting point is 00:40:28 gone after some mergers that have made no sense. Like they, I believe they blog. Like Roomba. The Roomba one, yeah, that one didn't make sense. The worst example I can think of is Meta bought a VR fitness app. And they said that Meadow was trying to create a monopoly in the VR fitness market, which is just not a market at all. It doesn't even exist. And I don't know anyone that does VR fitness.
Starting point is 00:40:49 And it's very rare. And so it totally makes sense to let that team get an exit and go hang out at Meta and try and work on this until. creating the market for the market and then as soon as it takes off there's going to be a ton of competitors immediately and so it seems like totally fine to let that one go through and then there are there are other sides where where like truly there are like two players and they're merging and there's going to be a lot of a lot of competitive dynamics that come from that anyway let me tell you about uh bezel pre-owned luxury watches authenticated in-house bezel is the top marketplace in the world for authenticated luxury watches yeah and again just more context so amazon um amazon um amazon's acquisition of i robot
Starting point is 00:41:27 the maker of Roomba was blocked due to antitrust concerns, which was primarily from the European Commission. They were worried about a monopoly in home robotics, I guess, and the CEO ended up just resigning. Yeah, it's interesting. It's like the robotic vacuum market is extremely competitive because of a lot of the Chinese companies. Ufi, and there's a few others. Like, it is definitely not as much of like, it feels like a lot less of a sticky product. because yes, it maps your home and it's supposed to learn. But really, if you move to a new place and you get a different robot vacuum cleaner, like you're pretty much good after a day.
Starting point is 00:42:05 You're not like, oh, I can't get out of the Rumba ecosystem. Whereas like even Sonos is stickier than that. And I never had a problem with that. And I robot shares are down 95% over the last looking over there. We actually got blocked and then they just got cooked. Yeah, they actually went public July 31st, 2020. No way. stock popped to $133 a share by early 2021.
Starting point is 00:42:29 It's now sitting at $4.28. What's the market cap? $130 million. $130 million. So a little bit of value destruction from the European. Imagine how frustrating that would be. You're like, I think I'm getting out to like the most logical acquire possible. So Figma's position and the AI potential.
Starting point is 00:42:48 Consider the position Figma has in the software design process. First, Figma enables collaboration, their original differentiator from Adobe and Sketch. Second, Figma creates one canvas for app creation, everything based on the same URL, instead of files that are passed around with increasingly absurd file name appendages, you know, final, final, V3, V4, V1, final, final. Third, Figma serves as a source of truth for an app's design. These capabilities seamlessly translate into AI-enabled workflows. And these capabilities seamlessly translate to AI-enabled workflows.
Starting point is 00:43:20 Collaboration today between a host of humans could very well mean coordination and orchestration of AI. critically, Figma isn't assuming or relying on an AI doing everything. Granted, that is a theoretical threat to the company, but the problem with AI-only development processes is that they are extremely difficult to debug or decompose. Figma gives a natural canvas to add in AI. So Ben Thompson kind of closes out talking about Figma as the OS of design being important. What operating systems have is coordination and orchestration abilities, one canvas, where all the work happens.
Starting point is 00:43:54 And the source of truth. And then for now, for now, Figma gets its nascent AI, it gates the capabilities behind a full seat license, i.e. the most expensive plans. They also have usage-based model. But Ben Thompson is advocating for Figma to move towards some sort of usage-based or task-based monetization model. This is what selling work.
Starting point is 00:44:16 Yeah, Salesforce is selling the end product. Exactly, as opposed to seat-based. And so that will be a business model transition. and he says that the transition will be tricky, and it's arguably the best argument against Figma going public, because if all of a sudden you shift to, hey, we don't charge per seat,
Starting point is 00:44:32 we charge per finished design or finished website or shift website, then all of a sudden you could see that you wind up with a much better business model four quarters out, but you have two rough quarters, and the public markets don't like that, and people always talk about that being one of the reasons, one of the drawbacks of being public
Starting point is 00:44:49 is that you have a lot of investors they're a little bit more short-term oriented. But he says, I think, however, that it is notable that Field mentioned M&A in his argument for going public. Figma would do well to start acquiring AI companies to plug into every aspect of its stack, particularly now when AI capability is nascent and not yet a threat to Figma as a whole. Above, I was skeptical about AI replacing Figma, but that is a skepticism that is relevant for the short-term.
Starting point is 00:45:17 Figma's task is to replace itself before anyone else has the chance in the long term. And I am very excited for tomorrow. Before we have our guest, should we talk about friend.com? We should. We're going to give them a call in 30 minutes. Quickly, let me tell you about Adio, customer relationship magic. Adio is the AI Native CRM that builds scales and grows your company to the next level. And we have Eric Glyman in the studio, correct?
Starting point is 00:45:43 Get over here. Eric. Congratulations. Looking sharp. Oh, my gosh. Great. I love me. Have a seat here.
Starting point is 00:45:52 Great. Great to see you. Good. You got a Celsius there. Fantastic. Welcome to the show. Thanks for having. Our humble New York Temple of Technology.
Starting point is 00:46:02 Yeah. Give us the update. What's the news today? Break it down for us. Great jacket, by the way. You've got little touches of yellow in there. It's not quite yellow enough for my taste, but there is a little bit of yellow. By the way, our tailor designed these to celebrate and really symbolize saving time and money.
Starting point is 00:46:19 So I think they did the job. I think they did the job. I'm overwhelmed. We'll get you. We'll get you one too. We've got to do this. We've got to go main on the street in like Times Square. What do you do for a living?
Starting point is 00:46:33 What business do you run? Do you want to save time and money? Let's get you on ramp right now. We'll introduce you the CEO. Ramp.com. Yeah. But break it down for us. What happened today?
Starting point is 00:46:42 Yeah. Well, first, I mean, we might need a bigger gone. I know. You have no idea. We're going to the ends of America. to get an American-made gong, and we're looking for something that will actually be floor to ceiling. You know, it'll be something like 20 by 20. So working on that, I look forward to hitting it for the next one, the series E3.
Starting point is 00:47:04 Yeah, yeah, yeah, bring it out. This is phenomenal. Guys, thanks for being here. Here in New York, the capital of capital. Yes, it is. It really is. Technology here at TVPN. We raised $500 million at a $22.5 billion at a $22.5 billion.
Starting point is 00:47:20 valuation. There we go. There we go. That's a nice ring to it. I'm really and and I'm losing track but it seems like ramp has not been able to get a fundraise public without it leaking, you know, five days previously to the press, but this is official. I'm glad to make it official here. It is official. It's the right valuation. And look, I, I, I, early on my career, I got this advice that the biggest battle of startup faces is people not giving a shit. people not caring. And so you know what? We're happy that people care even if things come out a couple days before. But we feel super lucky. And so that's the big news of the day. But, you know, I think so much what we focused on today, especially in the raise, is what we're going to do
Starting point is 00:48:04 with the capital. Between the last raise, which we were proud to hit the gong for, six weeks ago. Six weeks ago. Some of it actually came from actually from the product. We launched her first AI agent for controllers, and the data was like nothing I'd ever seen before. So that catalyzed this. 100%. Yeah, that's my big question. Like, Y, E2, why not F? And then also, it feels like you're like the king of like a bunch of fundraisers in a short amount of time.
Starting point is 00:48:37 There's clearly some benefits to that. But why not? I got to give some credit to the business, John. I mean, Eric's a great CEO, but the business is really, you know. Well, we haven't talked about this before. Like, we'll share it. Like right now, July is pacing, we're pacing to do 20% more purchase volume in July than June. Like, it's, it's been one month.
Starting point is 00:49:03 Like, the business is growing extraordinarily quickly. What's that meme with the guy on hot ones where he's like, God. No, no, no, guys. Don't talk. We need to have Celsius, but. No, no, no. That's insane.
Starting point is 00:49:19 The business itself is, I remember, I'm sure back in 2020, you'd be happily sending, you know, investors, like, you know, we grew 20% month over month, you know, but on like, you know, whatever, one percent of the scale. Yeah. So, so really wild. Yeah. I guess, like, the bigger, like, meta question is just, like, like, there's a world where you stack a bunch of these. wins into the mega deck and then just do like one massive fundraise every 18 months. There's this meme of like fundraising is a distraction. The CEO should be out there working with customers and proving the product. Obviously you're doing that. But how do you how do you do
Starting point is 00:49:53 these back-to-back fundraisers without them being distracting? I know you have a big team now. But like what goes into the decision to do like it I don't know if they're even smaller, but just like more frequent fundraisers because that feels like something that's unique to your company. Yeah, for sure. So one. It's sort of a funny thing, but people, I actually didn't understand this before in the startup world. Like, what is a series A or a B or a E2 really? Somebody who did a $55 million seed round. Yeah.
Starting point is 00:50:21 And then you'll talk to. And we pressed them. We were like, is this for marketing? Yeah. You're still going to get the expectation, like, the expectation will be that you perform at the Series B level based on this. If I walk around that company, it's going to feel like a Series B company. Like, I almost think, like, calling things by letters is totally silly. All it actually meant was we had a set of documents that we used.
Starting point is 00:50:40 When ever financing happening, there's hundreds of pages of documents that go back and forth between company and investor. Calling it in E2 just meant that we use the exact same documents. Save time and money. Save time. Save money on lawyer. No, it was really just that. So look, it was very efficient to get the financing done. And I also believe a lot in this concept of marking to market.
Starting point is 00:51:01 Yeah, totally. In real time, what are companies ultimately worth? And when you look at the fundraise from about a month and a half ago, I think is when it was announced done earlier. You know, we raised, I think in exchange for about $200 million, approximately 1% more shares came onto the capital. So it was a very small amount of dilution. With this raise of $500 million at 22.5.
Starting point is 00:51:29 It's like 2ish percent. See, these are not that dilutive. Yeah, it's not completely restructuring the company, but it's giving you a more modern mark. Adding to the war chest. Adding to the work test, and I think it's a good thing because one, you know, allows people to invest at the right point in time. But two, because you're not raising far ahead of where metrics are, it means that the company is not that distracted. You know, for the actual organization, like we've just been obsessed with going.
Starting point is 00:51:59 You're not in a position where everyone's like, oh, like at this valuation, like, Ramp doesn't just need an act two, but they need an act three, four, and five. Like, they got to, you know, create super intelligence and all this crazy. stuff because like like it's like based on the actual progress of the company a hundred percent right makes sense I want to talk about the product I want to talk about the AI agent thing the the interesting my experience with the ramp was that it was in many ways an AI agent before AI agents was a buzzword and I know that obviously when you scan a receipt it goes through an OCR process and the data the text is extracted from the image and then I but it
Starting point is 00:52:39 I would assume that you were an early adopter of LLMs to help clean that up. And that was, in many ways, a more like a super magical AI agent experience, but I'm not prompting it. It's just something that's happening in the background. It's invisible. And you're using some deterministic code, some probabilistic code, some older machine learning algorithms for OCR, some newer LLMs to clean up the data and tag things and say, this is a restaurant, that's a flight, and, you know, do all the magic that helps categorize
Starting point is 00:53:09 expenses. The question is, like, it feels like a big shift to put the, the, the, the, the agent in the hands of the user. And so you said that you're seeing, like, incredible adoption. What are people actually using for? What's the feedback? And, and, I mean, like, yeah, what else are the learnings of, like, where that goes? Do people want that? Or do people ultimately want to be able to prompt a few times and then have things baked into the core behind the scenes workflow? Yeah. So I feel like, so let's talk a little about it like what are like AI assistants. Yep. What are AI agents? What's the distinction? Because I actually think people are like pretty, pretty sloppy with it too. And so I feel well, to be clear, if you want to raise money right now, you just build sass and call it an agent, boom. But let's talk. We have a lot of people who are building who are listening to this podcast. So I think first for, you know, assistants or co-pilots, the idea is a person prompts. The co-pilot will review it, will make a recommendation. but then ultimately it's on the human to go do the work.
Starting point is 00:54:13 I get a recommendation, I input, it's back and forth. This is maybe similar to experience that you might have on a chat GPT or that kind of a thing. An agent is a bit different. What you do is you give it instructions and access to tools, and you say under certain conditions, if you see an outcome that I've instructed you drive, just go do it, right? Forever, essentially. Forever.
Starting point is 00:54:33 And, you know, I'm going to modify things from time to time. But it's a little bit more similar to, like, let's say you hire an intern or a new hire, You teach them how to do the job, you watch a bunch of times. And then they go on and you periodically check the work. And so that's a bit of the distinction. And one of the, if you think about what we're actually optimizing for, one of the core metrics is we look at what was the amount of work that a ramp customer was able to do in a single, let's say in an hour or in a minute. Right.
Starting point is 00:55:00 And so as we look over the years, that's gone up a lot. And if you joined in 2023, you know, mathematically, we can show. that you were categorizing three times more transactions, pulling in three times as many receipts, whatever the metric is as you did just two years ago for every minute you're spending on the site. So it's all to say, like every minute is counting for three times more.
Starting point is 00:55:24 I think that ratio should be 30 times more. And if you look at what happened, so we launched, we made this announcement about three, four weeks ago for this first AI agent, and we had early adopters, Notion, Webflow, Quora. The stats just absolutely, shocked us when we looked at this. Functionally, these companies were able to get 15 times more work done. Transactions categorized. But the more interesting part is these agents were way more accurate.
Starting point is 00:55:54 These agents all day, they know the expense policy better than any manager at the company. And so it was 99% accurate. It got a lot more tasks done. And suddenly, like for many people who've worked at large companies, you spend like an hour just reviewing expenses. and you're like, why I'm spending an hour reviewing like someone's Uber or their purchase, and that's just gone. And you're focusing on actually the interesting exceptions. And so where I think this kind of adds up to is for a lot of years, people had to be forced to learn how does software work and how do I think like software?
Starting point is 00:56:26 How do I learn to use Salesforce? How do I learn to use Google? How do I learn to use Excel? Now we're teaching these software programs to think like people. And that means you can teach software functionally the same. same way you would an intern to go and figure out what expenses are in or out of policy. And that very avid software that doesn't take breaks, doesn't take holidays that is obsessed over every deal of your expense policy, can catch when your policy is incomplete.
Starting point is 00:56:52 It's online if you need to talk to it at, you're on a work trip and you need to, yeah, or yeah, therapy, but I was going to say, like, you don't, if you can avoid messaging somebody on the weekend to ask if something's in or out of policy, it's like it benefits everybody. Yeah, yeah. That's exactly right. No, and I think you're bringing up like another point of like a lot of work is sort of if this and that. Like if you get a, if you get a, you want to buy a new piece of software and that vendor sends you like a quote. Then procurement negotiates it.
Starting point is 00:57:23 Once per procurement's negotiated, then legal takes a look at it. Once legal says it's fine, then, you know, finances, is there an invoice and we go and pay it out? And then it goes into accounting. But if you have lots of digital agents functionally all the time online and responsive, these things can occur simultaneously. Yeah. And so it means actually, instead of waiting days to go and onboard a new vendor, it can be done in minutes.
Starting point is 00:57:46 And so it just means it's much easier to do work. And I think the big picture of like, why are we here at all? It's actually just to save time and money to make it easier for more companies to operate. And that's what the stuff adds up to. It's really nice when you don't have to update your mission statement. I know. As new technology, I mean, this is, we've talked about, you know, Google's original mission statement, which is loosely like, you know, organize and
Starting point is 00:58:11 make the world's information like valuable, right? And it's like, okay, well, generative AI, like does that very efficiently. Agenic workflows applied to finance, save people, time, and money. It's the same, same mission. I want to take a post about a post from Keith Rubei. He said five out of six board meetings he had in the last couple months were about how to design a company's organization for AI. I'm interested in, and we've been debating this in the context of meta super intelligence, is artificial intelligence an app like Facebook, Instagram, WhatsApp? Or is it like their finance team, like their infrastructure team, like their database team
Starting point is 00:58:53 that sits across all of the apps as like a service layer? And I'm interested to know, like you have a product now. And I imagine that there is a team that is working on building that product and that product has AI in the name. But then I imagine that every single person from designers to engineers to, you know, the ops people are using artificial intelligence in their day to day. And I'm wondering if you're seeing a new, like, cross-functional team develop or how you're thinking through that tradeoff of like horizontal versus vertical, maybe both teams in just terms of running a high-performance organization.
Starting point is 00:59:31 I love his post and I think it's actually like I'll put it this way like I don't think most people have really come to terms with the reality of that like computers can like see and hear and like think now it's crazy it's so different and like if you're like just going and repeating the same organizational structure that like was in place when anything were possible like it's a little bit of like are you are you awake like this actually is actually that's actually that's actually that's actually that's is the right question and one I think people should be spending a lot more time in you know in earnest we need more business we need some new business you know management textbooks it's true it's a joke but it's no there's no like enduring yeah so if you don't if you have a whole piece of your org chart that doesn't have any AI on it like you're going to ship that in the product and then you're going to be like wait this part this piece of the product feels very manual and like web 1.0 almost yeah the correct I mean one one thing that happened yesterday was Zuck saying, like basically saying you can now use AI in your coding interviews,
Starting point is 01:00:36 which sounds insane. Like wouldn't you want to still hire for people that might just naturally be good at engineering and then get better? But he's basically making the statement of, no, we're so committed to this new paradigm that, yeah, you should use every tool you have available to do the best possible work. And I think it's totally right. And I'll admit some of them, even for people who, you know, are interviewing soon. there are some job functions at Ramp
Starting point is 01:01:02 where it is actually not possible to pass an interview or a coding interview without using an LLM. And that's intentional. It's actually intentional to figure out are you curious about that? Are you using these tools or not? It's not a question of IQ.
Starting point is 01:01:17 I think there's brilliant people who don't need an LLM to think, but I think that the capabilities of being able to access an extraordinary amount of compute as well as specialized knowledge, why wouldn't you? Yeah, it's like just because
Starting point is 01:01:29 Scott Wu could do a problem in his head doesn't mean he shouldn't use calculator. Yeah, yeah. Yeah, yeah. It's funny. One of the old, like, coding challenges was this thing called FIS buzz, where you try and write out numbers from zero to one. And if it's odd, or if it's divisible by three, you write FIS, and if it's divisible by seven, you write Buzz.
Starting point is 01:01:46 And then if it's divisible by both, you write FISB. And it's like a very basic coding challenge, but it always assumes that you have access to Python. Like, and it's not saying, okay, you have to go and, like, fab your own semiconductor to do it. And so it makes sense that, like, you know, we are in the age of LLS. Like that's going to be a tool that we expect to pull off the show. The Kareem might start requiring the engineering team. You're going to have to be able to set up your own semi-fab in order to-
Starting point is 01:02:10 write it out in binary with a pen and paper. You know, engineering with your own silicon. Yeah. One interesting thing, we've talked a lot about this like Move 37 concept. Lisa Dahl, the Google Deep Mine challenge. They beat Lisa Dahl and in Move 37, it was like this moment of like true inspiration where AlphaGo put a piece on the board. that was so unexpected. At least it all stood up, went outside, smoked a cigarette,
Starting point is 01:02:33 and was like, that is mind-blown, right? And we've had moments like that. Maybe the Studio Ghibli moment is this, like, we've had passing the touring test. But there's also been plenty of areas that feel more intractable in terms of artificial intelligence, and it feels like if you are, like,
Starting point is 01:02:49 with the latest IMO, problem six with this combinatorics problem that I don't understand, but neither does OpenAI or Google, apparently. So, you know, we're basically the same. But my question is like with the AI agent product, are there things that you see CFOs, modern CFOs do? Like what is the humanity's last exam, the intractable problem, the most elegant, beautiful thing that a CFO can do that feels like, oh, this is going to be something that's happening and requires like the human touch for a very, very long time? I think my immediate thought, it's to give you some time to think, is.
Starting point is 01:03:27 is it feels like AI today is really good at doing the work that like a management consultant could do. So you can like tell them like I run this type of business like make me a marketing plan or come up with five ideas for marketing strategies and Q4. And it will create like a great report. It'll look great. It'll have some maybe some decent ideas. And yet it still feels like to do truly exceptional work. Like we like Monday like the three of us spent like a couple hours talking about some some campaign and like to be. baiting it and all these different points.
Starting point is 01:03:59 And it's like we could have had AI in the mix there, but you could imagine to be tossing in ideas that were kind of maybe random and maybe something helpful. But it was still like you just like people needed to just like sit there and just like hash it out. And it feels like that's that's like, you know, do the work to like do analysis, create reports, you know, when it comes to like actual knowledge work. Yeah. But anyways, I don't know what your thought is.
Starting point is 01:04:23 I love this line of questioning. And I think it's going to get super. interesting especially is, you know, AI is going from a primarily academic tool and also in some ways I feel like it's it's jumped into software engineering in part because, you know, software engineers know what it is to code and, you know, they're working with AI and so they have good taste and there's these great feedback loops. And so it's happening there sooner, but it's starting to make it into general business logic, finance, everything. I think a good place to start if you just want to decompose the problem is like, what is the job of finance?
Starting point is 01:04:57 actually. What is it? And I think if you were to just really simplifying it down, it's, in my view, some subset of you're going to define a set of rules that govern who is able to spend what under what circumstances, what are the controls you have in place. Once activity has occurred, you spent money, things are coming in, how do you record that activity accurately? Close your books. and then based on what occurred, how do you goal-seek to more profitability, more growth, more cash flow, whatever thing you're going to go try to go do? It's about it. And if you really kind of simplify it, it's just a set of rules and algorithms.
Starting point is 01:05:39 These systems, one, they're incredibly complicated to do each of those things. And so I actually think, like, brilliant people have over the last 50, 100 years been reduced to, like, I don't know, in some cases, like tabulators, just calculating things, or like downloading the same spreadsheet over and over or matching the receipts and doing like very low-level task and only doing a little bit, you know, after you finally look at. A great example is like when any like TV show about business. Yeah. It's like like you look at like the office. All of this was any real work done? Like you did it. Was there any? You don't you don't really. Do you remember a time when they were maybe once or twice they called a customer or they did a customer meeting. But outside of that,
Starting point is 01:06:25 it's like thousands of hours of just like doing, they're doing business, but they're not, like, are they really getting anything done? And so I think, I think the point you're making is, like, how much of the work that we do is should, should be the work that we're doing. I think that's, you nailed it. Like, I think so much of work is very mechanical. And it's, you know, we want finance to be forward thinking and strategic, but the reality of a lot of finance is looking backward. I think that's, yeah, yeah, I think that the, strategic thing is really key. Like, like, Tyler Cowan would say that, like, relationships are very Lindy and going to stick around for a long time, trust building, that type of stuff.
Starting point is 01:07:00 But Ben Thompson dumped some sort of, you know, 10Q into chat, GPT and said, like, make me a Ben Thompson style article. And it did some of it, but it didn't have the, yeah, yeah, it didn't have, like, the actual strategic insights in the storytelling that can actually, like, marshal the proper resources and I feel like that's in many ways the job of CFO it's risk taking it's deciding the right strategy for the situation and it seems like the the frontier models are not quite there yet you you nailed it and I think that when I think about the next set of years so we with the fundaries we tried to lay out of like we're seeing glimmers of like this whole industry is going to get rewritten what do we think the industry looks like over the next three to five years
Starting point is 01:07:47 what does the org like look like and we laid that out in the post but i think the biggest transformation is like really really i think most of the finance function today unfortunately is very backward looking but i think is automation agenetic workflows are coming to the forefront platform like ramp actually more people can be looking forward can be spending time you know on like for ben thompson like what are the really interesting breakthrough theories and how do you go and make things better and when i think of like what is that last exam uh ultimately for a financial organization is, you know, I think there are companies that have taken these tests. So I think one of the interesting studies I think about is Amazon.
Starting point is 01:08:26 In its early days, so they were very early and they would send email follow-ups to customers. You just bought this. And the old way of doing email marketing to customers was someone would write, like if you've seen like the Trader Joe's newsletter where someone writes like these poetic things about the new ingredients and cool stuff, come try this and whatever. Amazon did that in the 90s. There was an editorial team talking about the great new products that were coming online on Amazon.com. And then there was this personalization team. It's like, I don't know, P12N or whatever it is. And they said, we're going to A, B, test it.
Starting point is 01:09:01 This personalization team, you're going to get 10% of the send volume. And your job is to just go and try to find these weird connections, these move 37s of like, you just bought this. You may be interested in this product. And for a long time, humans crushed the personalization. team. There was something kind of in the example of how these marketers thought that was better. We're going to get better and better and better until one day the personalization
Starting point is 01:09:26 team, the volume started winning. And it kept winning. And there is no team that is sending like newsletters around. And so, you know, it turns that algorithmically on single products, you might be able to go and have a better algorithm recommendations. I still think for quite a while.
Starting point is 01:09:42 There was a role for creative CFOs in thinking about these unexpected strategies. It's sort of in some ways, like, I don't know, make it about you guys for a second. The media industry has been at it for a long time. You know, there's live streaming. You know, TV has been around for a while. No one saw this and suddenly like this is one of the most, I think, important things happening.
Starting point is 01:10:04 You know, in broadcasting. It's your show. Thank you. You guys saw it. Yeah. And I think there's room for people of great taste who are great marketers, for great leaders, CFOs. And so, no, I'm bullish.
Starting point is 01:10:16 Actually, when you have time to think about the interesting work. 100% yeah like there's one world where you see the expense policy is like a set of if statements and there's a different world where you start thinking about expenses is like bets and risk taking an actual like what is the net present value of buying that particular thing will this pay off for the business does this actually increase shareholder value when you buy even just that those pencils versus those pens like that's really also i mean i mean yeah there's so much uh you know finance historically is you know looking backwards and you can make decisions based on that be like what we spend this on this. We shouldn't do that again. But there's also so much that you can bring in of like even helping understand projecting you out. Did you know if you adopted this tool and then you grow headcount 20% or 30% or 100%? You know, this is going to be in a year. If you keep this existing, you know, plan, contract, you're going to be spending, you know, some crazy multiple of what you're paying today. So, and there's so much. So what's next for the company? Is the job finished? Yeah, everybody, everybody in the chat's asking job finished. Is the job finished? The job is
Starting point is 01:11:17 not finish, guys. I'm still, we're still, we can't believe it. Let's go. Job not finish confirmed. No, guys, this is, I love this thing. No, it's like it's like we're, we're pleased, we're happy, but like this is the crazy thing about our industry is that any business that spends money could be a ramp customer. And we've come a long way. They will be. They will be. They must be. They must be. I don't know. We're working hard on it. But guys, Most people, you know, pour one out for our friends, like expenses, closing the books. It is the worst hour of their month. It doesn't have to be.
Starting point is 01:11:58 We're going to change that. Fantastic. Incredible. Well, thanks so much for stopping by. Thanks a ton. A ton of fun. We'll see you later. We'll see you later.
Starting point is 01:12:05 And please recommend your tailor to me. I got to get one of these things. We'll put you in touch. We'll come to the fitting. Awesome. Great to see Eric. Thank you. We've got to hop on with Avi Schiffman in a few minutes.
Starting point is 01:12:17 read through some posts though. Interesting fact about the IPO markets. We needed a polymarket on whether Eric would say jobs not finished, although it probably would have been sitting at 100%. Jeff Richard says the last five technology IPOs are up 142% on average. The last 20 are up 93% performing well beyond lockup windows. Last 12 months prevailing narrative, there is no IPO market. Smart companies prepared anyhow, and we're ready to take advantage of favorable conditions. And it's Chime, Voyager, Voyager, Circle, Mountain, Hinge Health, E. Torre, Corweave, tons of companies on here. Service Titan all got out and are sitting at pretty solid offer to current percent gains. There's a few that are down, but by and large, the IPO window is wide open.
Starting point is 01:13:03 It's wide open. And on that note, there was some news yesterday that an ultra-massive asteroid is on a possible collision course with the moon May trigger destructive meteor or shower on Earth. And Andy from 2 cents says it's in 2032. Enough time for an IPO. Lock in. Really quickly, let me tell you about numeralhq.com. Sales tax on autopilot spend less than five minutes per month on sales tax compliance.
Starting point is 01:13:28 And we can give Avi Schiffman a call. Give them a ring. Let's give them a ring and see. We haven't done many of these before, these sort of facetime call-ins, but we're going to give it a shot. I'm just going to call them on the phone. I'm not even facetting it. How you doing? My man.
Starting point is 01:13:43 Happy launch day. I can hear you. Happy launch day. Very bold to launch on the day of a ramp fundraise, but you're breaking through. You've been seeing a lot of posts. Oh, thank you. You've been following the story for a long time. Very excited that you got these out into the world.
Starting point is 01:13:59 Break it down for us. Are you sharing any numbers or has there been any feedback? I saw a bunch of posts that you were reposting. What's the feedback been so far? What did you actually ship? actually ship is this the the final product this is developer preview uh give us kind of the the the the high level overview and then we'll dig in sure yeah am i live right now you're live you're live oh dope uh yeah actually i mean just uh one one minute ago right before you called a friend of
Starting point is 01:14:26 mine that i sent it to um he's uh he works for uh arc boats oh yeah and um everyone there loves it so much. They just called me and just, they just ordered a whole bunch of them. There we go. You're selling enterprise software. Yeah, I was going to ask, are people abusing this yet to do work instead of like, yeah, he's pitching me a friend, but really, I just want an intern. I just want to sell something. Yeah, I think some
Starting point is 01:14:47 people want it to, like, help him with productivity. And, like, that's kind of the con of talking about it on Twitter, but I have no idea. The cool thing about friend is I can't read people's chats because I don't have their friend. It's kind of like a living ubiquity in that way. Interesting. Is it on device or just, like,
Starting point is 01:15:02 like end-to-end encrypted or secure somehow or what's that the philosophy? I mean, it's kind of just, I look forward to seeing people try and crack it, but it's basically, it's basically encrypted in sorts on the device. There's like a key in each device that like I don't have access to. Got it. Because I don't have the actual friend. But anyways. How much do people pay for these again?
Starting point is 01:15:28 $129. $129. I was asking how much. people paid oh 99 for the pre-orders but now they're for sale for 129 price of the bricks going up dude i would never ship a developer for you these are this is the final this is ready to go ready for ready for yeah uh what what what what what what what what's next uh do you immediately go into getting feedback v2 software hardware what are you excited about improving uh i'm sure you're getting a lot of feedback already yeah no no v2s anytime soon i think the product is the best i could possibly do
Starting point is 01:16:03 with the current state of tech. The real marketing push will come sometime soon when our next movie drops, which will be a proper feature film that we're submitting to film festivals. No way. Okay, this is a new meta. Yeah, the cinematic
Starting point is 01:16:19 large video is dead. They were dead. You got to ship in 90 minutes. Yeah, this is... That's why I didn't want to drop another video today. Like, fuck, that's boring. That's amazing. The meta moves on. The new feature film, I promise you,
Starting point is 01:16:31 will be the greatest cultural technology thing of the 2020s. I think it's going to be amazing. Old statement. Can you tell us anything about who's attached? I know, was it sandwich video that worked on the previous film? If you had sandwiched you a feature film that would cost
Starting point is 01:16:45 like $50 million. I think so. I'd be surprised if you guys knew them, but you know all gas, no brakes are Channel 5? Of course you know. Roger Callahan deeply, yes. He interviewed the former president's son. They split off a while ago because all the sex scandals.
Starting point is 01:17:00 But the production crew behind all gas, no brakes has been following the whole project. Very cool. And it's going to be kind of like that Kanye's documentary from a couple of years ago. Okay. Yeah. It's going to be, it's going to be great. When's, uh, is it the August, September?
Starting point is 01:17:17 When are we, when are we talking? I have no idea. Probably not this year because I want to submit it to film festivals first and win them. Yeah, the closest one is the Berlin Film Festival and the awards for that will come out in February. Do you think the price of, uh, you know how the price of like a cinematic two-minute, uh, like intro video has dropped a lot because like, you know, cinema cameras are getting cheaper. Sony has the FX3.
Starting point is 01:17:38 Like, you know, you can just use free editing software, AI tools. Like, do you think the price of making a feature film has dropped such that like more companies will be doing this in the future? I mean, probably. But I think like ultimately you just got to like care enough to make something good. I mean, for the friend launch video from last year, I location scouted it, I helped write the script. I was there on set.
Starting point is 01:17:59 Like, you just have to be involved. Yeah. And I guess be, I don't know, just be good enough to make something dope. I thought the waves video was probably the best second to Friends video I've seen. Which one? The waves. Oh, waves. Like the glasses.
Starting point is 01:18:11 Yeah, it was a nice video. It wasn't just like, you know, flat. It wasn't annoying. I completely agree. Yeah, it was great. Take me on a tour of the other hardware devices. It sounds like you're a bit of a fan of waves. What else is going on in the world that's interesting?
Starting point is 01:18:26 What do you think is a dead end on the tech tree? Hmm, well, I am still disappointed that there's not really any interesting consumer stuff. I still find Polly Market to be pretty much the only, like, genuine mainstream consumer thing of the last billion years that's worth a while. Yeah, that is real. Yeah, you're partner with them. Yeah, we're partnering with them. It's novel. It's cultural.
Starting point is 01:18:49 It's cool. Yeah. It's cool. I mean, it's, it's new. It's what I want to do. It's just so hard to break through in consumer because it's either, like, it's hardware and it's a billion dollars to do a big. run or or it's like oh it's anything tied to social networking and like there's a super durable monopoly i mean i guess chat chepti broke through in the consumer context really really massively but
Starting point is 01:19:11 you know it instantly just turned into like a mag seven company i think they're doomed i feel like okay for start i really i'd be very surprised if the whole johnny i think actually ships okay i just i don't think that's going to ship that's maybe my take not ship at home i mean it's just they're just look they're just too old to understand how to go towards, let's say the main target audience that I'm very interested in is Gen A. Because they don't say the word AI companion.
Starting point is 01:19:38 You know, I named a friend because they just say they're talking to their friends. They know how to intuitively talk to an AI, but also view it as like a platonic companion. It doesn't have to be a sex bot or an assistant, which I think is really only old people that need some kind of utilitarian value from. What about GPT psychosis? Is it real?
Starting point is 01:19:59 Is it... Oh, nice for the friend. risk you worry about it you worried about someone getting seven million bumps deep and friends if if you truly fall to that i mean i think that's your problem well uh i would hope that you at least build some guardrails in just to be safe because uh you know why not yeah just make sure the friends check on behind the we're using jemini 2.5 which i think is a great model and google does a good job allowing it to just do me a favor of remove those uh what is it's it's not SCP, like horror,
Starting point is 01:20:31 creepy pastas. Just remove this from the training side place. I feel sorry for that guy. Yeah, is right. Bedrock guy. Yeah, yeah. Yeah, yeah. Yeah, yeah.
Starting point is 01:20:38 Anyway. Yeah, well, we'll see. You know, I mean, the friend used to be a little bit more psychotic. When the battery died, your friend actually was truly dead. That's wild. Tomogashi style. What about, do you ever play Fallout? Sure, yeah.
Starting point is 01:20:52 What about a Pipboy? Is that a good idea? I was pitching that to people. If you're on Shark Tank, would you invest in that? you're a sharp. I do think that like single feature consumer electronics will be popular again. Like I don't understand why everyone's got this boner of trying to build the iPhone up AI when the iPhone ever came out without the iPod.
Starting point is 01:21:12 You know, at least I try to just do one single feature and do it well end-to-end. I think there'll be more products like that. People want like interesting new form factors and to kind of disperse from their phone a little bit. But not replace it. People want to scroll their TikTok. So that's just not going away anytime soon. Yeah, yeah. The phone's kind of end of history.
Starting point is 01:21:29 It is forever. People are going to be on their phones, but then, you know, Apple Watch sort of broke through, VR headsets. The Apple Watch did not break through. You don't think so? You don't think so? I would say, I would say, probably half our guests wear an Apple Watch. You're like $100 billion in revenue a year.
Starting point is 01:21:47 It didn't break through. It's a failure. Wind it down. AirPods. AirPods. Just more again cringe. It doesn't matter. I hear you.
Starting point is 01:21:54 I hear you and I agree with like the aesthetic criticism. But certainly, like, the idea of, like, a computer on your wrist is, like, somewhat popular. It sounds like you're wearing one right now. I'm not. I'm not. I am a proud, proud Brad ambassador for Bezell. I appreciate mechanical watches. I appreciate.
Starting point is 01:22:11 Holy Trinity appreciate it. Vachron Constanton. They would never think to put a battery in that thing. Yeah, I mean, personally, I don't want to be tied to time like that, but, you know, shots fired at the watch community. Wait, so you don't want to watch at all. Okay. No, yeah, no time whatsoever. What is, what does Gen Alpha think about AirP?
Starting point is 01:22:27 Are they always in? Or is it, is it, uh, or AirPods? I know that some people doing interviews with them in. And they're like, yeah, they're on transparency mode. And it's like, that's the crazy. I don't know. I don't even wear headphones, really. It's just like, just got a good speaker system.
Starting point is 01:22:40 What about, uh, what about, like analog cameras? You carry like a film camera or like a Q3, something like that? Sure, dude. I mean, uh, I just bought the same camcorder that used in 28 days later, that zombie film. No way. Yeah. Yeah. Yeah. We brought a VHS camcorder with us on our mini DV on this trip to do a little blog.
Starting point is 01:22:56 You think, uh, what, what, It's exactly the mini-div-A. Yeah, yeah, yeah. What's your read? What do you think Zuck is going to do in the AI companion space? Good question. AI friendship. I mean, I think it'll just make the concept.
Starting point is 01:23:10 Like, you don't buy a dog because you have the low self-esteem. And I don't think AI companionship, which right now people think is just a product for, like, lonely people or people with low self-esteem, etc. I think it will just be like a new kind of companion that people will have in their lives. Makes sense. Anything else, Jordy? Oh, this is great. Congrats on shipping. I believe you're sending.
Starting point is 01:23:31 I don't know if you already sent one. Friend.com. I don't know if you already sent one to us, but happy to, happy to purchase and support. And we'll bring it into a show. We'll bring it into a show. It's going to be high stakes, high stakes demo. You're going to, the friend will be with us live for three hours. Okay, well, you might have to wait a couple of years then.
Starting point is 01:23:51 No, I mean, it's okay for something to. I got you. I got you. I got you. We'll ship it out to you this month. Yeah, that'd be awesome. Yeah. We do a bunch of product demos with our intern Tyler as well.
Starting point is 01:23:59 We can demo it in a smaller setting, a segment on the show. That would be fun. I hope you enjoy the whole thing. I think people yearn for opinionated hardware again, and I think there's not a single user-facing detail that at least I did not choose. It doesn't matter if you like it or don't like it, but this is something I chose. Yeah, I'm so sick of Christmas and the holidays coming around,
Starting point is 01:24:20 and it's like, I can't get you music because you already have Spotify and you don't want a CD anymore. I can't get you a book because everyone has Audible. I can't get you a DVD set because everyone has iTunes. And like just the gift, I feel like the gift economy has been nerfed by the proliferation of the internet. And you're like kind of bringing it back. And it's like even if somebody wants an Apple Watch, like they'll probably just buy that themselves. It's pretty rare to like make a good gift.
Starting point is 01:24:45 Whereas this is something that's unexpected just by virtue of the fact that you're a new company. And so I feel like if I gifted this to a few people, it would be a surprise and delight. Maybe they don't love it forever. but it's something that's new and it's different and it's fresh and I love that. Well, maybe for Christmas time. Also, John, I mean, I don't even have internet at my house. I just listen to Vinals and see what. Okay, yeah, but you have to admit you're in the minority there.
Starting point is 01:25:06 I don't know. I think I'm starting a new way. Okay, well, expect all 600 hours of TBPN pressed on vinyl under your Christmas tree in December 25th. You should actually do that. That would be great. Expect it. If you have a record player, you're going to be listened to our sultry tones reading with Ben Thompson articles on vinyl.
Starting point is 01:25:24 be great anyway we'll talk to you soon ovi congrats thanks bye thank you anyway uh opinionated young man in tech we love it always a fun conversation we love it also get on fin ai i i fin dot a i the number one a agent for customer service the best performing AI agent for customer service delivering higher quality customer that's right experiences and higher resolution agents bakeoff champion of the world um and uh there was an interesting Australian rocket launch that happened. It was very interesting. It did not go very well. The rocket heiress launched by Gilmore Space Technologies was designed to carry small satellites to orbit. It goes up. It kind of slides. It went for 14 seconds.
Starting point is 01:26:06 And it was a little bit of a crazy slide to the side of the left. This had to see, sad to see, but you have to, you got to fail. Apparently in aerospace and rocket science, you got to fail a lot to even Elon is failing. We were watching this video with somebody and was like, was anyone on board? Obviously not. We send satellites to space. We don't send humans to space. I don't think we should laugh at the misfortune or the failure, but there was a very viral and funny post where someone was saying, you know, imagining the Australians saying, Ar, NAR, Arnur. Very funny. But yeah, I mean, it is very fortunate that we're in the era of like, you know, autonomous rockets from day one. So you can blow them up a lot. Rockets are tough, too. It's hard to hide a catastrophic failure. You know, you can launch your AI,
Starting point is 01:26:59 you can launch your agenetic workflow and it can fail. But when you launch a rocket, people are going to find out. Oh, this is interesting. Avi mentioned Polymarket. There's a, there's a trader on Polymarket who's up $750,000 and just can't seem to lose. They have $2.4 million on rates going unchanged today. They'll profit another $100,000 if they're right, better trader than Pelosi. And wow, they really went all in. And they were right. And they were right. So they made another 100K.
Starting point is 01:27:28 What an impressive trader. Crazy. Yeah, it feels like a lot of the people on Polly Market have like scaled up to being like, it's more like a hedge fund. And it's like their professional job. Like the famous example of the person who called the Trump thing, right? It was like he was paying for his own polling data just to make that bet. In other news, Palo Alto Network acquired CyberArc for $25 billion.
Starting point is 01:27:53 A good name for a company, Palo Alto Networks, San Hill Road Company. Great name. Great name. My family moved, my dad's family moved to Palo Alto, I think in 1906. Yeah? So way back. 1906. But they bought CyberArc for $25 billion.
Starting point is 01:28:13 CyberArk is an Israeli identity security provider. And, sorry, Palo Alto Networks is down 6.24.4. percent today. So never know with these things. Sure. In other acquisition news, Sam Ross shares that Numeril has acquired Spend Ruby. As part of this acquisition, we're excited to welcome the entire Ruby card team to Numeril. This marks our first acquisition, and it's been a long time coming. They first met during White Combinator's winner, 2023 batch. They became fast friends, given our shared experience, building and supporting e-commerce brands. It turned out that I wasn't the only one who had dealt with a nightmare that is sales tax.
Starting point is 01:28:54 The team will join the engineering team to help accelerate our global offering, including integrations and industry-leading tax engine. Together, we'll solve one of the hardest problems for growing business sales tax compliance. I agree, I've experienced myself, and I use numeral for my e-commerce company. Joe Wisenthal was talking about GDP,
Starting point is 01:29:12 also talking about the odds of the Fed rate cut, which we already covered. The odds have dropped substantially, as they probably should, given that the American consumer is undefeated and the American economy continues to be on a tear. Speaking of Apple products, Freya Lobo says one of my longest standing hobbies is thinking about whether I should get an iPad.
Starting point is 01:29:33 It's not about the iPad. It's about imagining an alternative life. I might live as someone who has an iPad. Love to wonder about it. 52K, apparently the struck a chord. Apparently many people dream of an iPad life. Yeah, when the latest iOS came out and everyone was like, okay, the liquid glass was a little crazy.
Starting point is 01:29:51 We don't know if we like this. It's cooking Tyler's phone. It's not maybe the best update yet. They'll get it there. But it's amazing on iPad. And I was like, I want an iPad. But then I actually thought about my day-to-day of doing the show and writing and screenshot and stuff. And I was like, I think I would hate it.
Starting point is 01:30:06 Yeah. My dad's retired. And when I see him use an iPad, I go, oh, what a simple, what a simple but nice life. You know, if you can just leisurely tap around, maybe read an email, fire off a thumbs up emoji. You don't have to do much. Well, whether you use an iPad or an iPhone or a Mac or some other device to access the internet, you've got to go to public.com investing for those to take it seriously. Another question about...
Starting point is 01:30:36 Yu Chen, Jin says not a single person from Thinky or Anthropic took Zucks offer. Why? Some good reasons here, some of which we covered. Already rich, mission, greater than mansion. They've seen AGI. They've seen AGI. paid big corp life upside is higher value of money is diminishing post aGI no faith in meta or zuck and people are voting deaf not six because a lamo is a lamo pre or post a GI fact check true
Starting point is 01:31:04 experts confirm this is true kosh over on the ramp team i don't know if this was intentional ramp was valued at 22 and a half billion two to five 225 and he says bench 225 a little easier this morning feeling absolutely jacked so shout out to numerology on the 225 is really good uh mike isaac says pretty clever someone who claims to have scraped public listening data from a number of public figures politicians celebrities journalists spun up their alleged playlist and made it into a site thankfully mine isn't too embarrassing but others dot dot dot dot and people were talking about palmer luckies he listens to all the hits he likes pop and he was like this is mine and I'm proud of it and everyone was like this is amazing I got to listen to Palmer's list
Starting point is 01:31:51 but Panama playlist.com if you want to check it out also like sort of an odd data leak like I like this was this this happened during the election the Venmo transactions were public and so they'd find like J.D. Vance's Venmo and then they'd see like J.D. Vance paid someone else so they're connected so if you're out there and this is funny so are you on your stuff so you're on this list. You're on the Panama playlist. There's a playlist here from you called Immortal. Oh yeah. And it's the Four Seasons. Yes. Concerto. Yes. Hero, a family of the year. Jesus walks. I'm on, I'm on the list as well. I don't even know what this playlist is. I'm proud of my playlist. You're free to go listen to them if you'd like. I should just make them all public. I love
Starting point is 01:32:40 let's see. Keith Rabeoy. Oh, yeah. He listened to some Dead Mouse. A lot of good EDM. He's sent me a Spotify playlist. It is funny because I feel like I didn't expect it to be public, but obviously I don't care. Sean McGuire is listening to some Apex Twin, Muramasa. Yeah, I don't know. It's so random. I don't use public play. I mean, I see if there's on there.
Starting point is 01:33:04 I feel like we got to go. Dallion is listening to some Credence Clearwater. That's cool. I like that. Gary Tan is listening to Crum. Okay. It's an interesting list here. You got to, we got to figure out to really curate that.
Starting point is 01:33:22 So when people land on it. We're working on a playlist for a little something tomorrow. Oh, okay. Cool. We'll have to put the four seasons on there. That's right. Paulty, one of the greatest to ever do. Something like that.
Starting point is 01:33:32 Speaking of tomorrow, inspired by Oomf, are you the 2003 Dom Peringian where the heat wave killed 5,600 people and made the best graves of all time? Have you heard this lore about Domperian? pairing on. Apparently there was a crazy heat wave in 2003 and now it's a it's a beloved vintage of wine. I had no idea. Did not know that. I need to I need to learn more about that. Anyway, Percy Jackson was right. S.F. is the new Rome says Lucas. Both S.F. and Rome have exactly seven hills. Temperature, temperate, sunny, sea climate. Status is a pilgrimage site where immigrants working to become citizens,
Starting point is 01:34:09 center of a productive valley. Sea, military, industrial, business power. And look at this photo. It's not going to translate on the screen, but this, I had no idea that the Palace of Fine Arts could be shot with the, with the, is this one better? I don't know. I'll hold it up. I don't know. We're there, go to four. Yeah, camera four. There we go. I'm fighting air conditioning. But the Palace of Fine Arts, incredible image, incredible image. And it does look very Roman. So, San Francisco. San Francisco. Untefeated. Undefeated. Oh, Luke Ferritory.
Starting point is 01:34:47 So there was a piece in Bloomberg about Luke Ferritory, lots of debate. Was it a hit piece? Fair analysis, critique, profile. We're going back and forth. Spore said the Luke Ferrador article is hardly a hit piece, and some of y'all are wildly overreacting. We have some of the overreactions here.
Starting point is 01:35:07 We got Catherine Boyle saying, when I worked for the Washington Post, there was an understanding that the family of elected officials was generally off limits unless they put themselves in the arena. A hit piece on a low level government employee that goes after his mother by name is so appalling. Why would anyone in tech talk to Bloomberg after this? Sean McGuire says Luke Ferretort is an American hero. He says it's a hit piece. This is a hit piece. It's a badge of honor and par for the course. Luke Ferretor is still 23. We got to get him out of the government. We got to get him into Silicon Valley. We got to get him into term sheet. We got to get him a term sheet. That's the key. I mean, think about how many,
Starting point is 01:35:37 Think about how many people have probably approached him and said, I will give you $50 million to start a company. And you can immediately take $5 million of secondary. I'm sure some offer in that range has been made. But it is worthwhile having him in the government working on important problems. I think you had a framing, which was you can look at some of the cuts that Doge has been making and say, if you believe that the government is efficient and that the money is being spent well, then you're going to be really upset. If you believe that there's a lot of, potentially a lot of waste and that there's money,
Starting point is 01:36:12 just going to people that shouldn't be getting it or going to causes that might be harmful, then maybe it's positive. And so it's naturally, like, an incredibly politically charged topic. It's completely reasonable. If someone says to you, America is spending $100 million to help the less fortunate. You'd be like, well, I don't want to take that away. Of course. It feels good to help the less fortunate.
Starting point is 01:36:36 But if you dig in and you find out that it's like, well, that's what it said, but in fact, it was all going into someone's pocket who's super rich, you'd be like, wait, why are we doing this? This makes no sense. And so the stated names of every program are always with the best intentions. But I mean, you know this from running a business. You spend money on a lot of different projects. Some of the projects go off the rails and you need to cut them. And so the idea that like cutting spending is super controversial.
Starting point is 01:37:03 This is something that was done in the Obama administration. like it should not be as politically charged as it is, but unfortunately we are in a very, very politically charged environment. So Casey Hamer was particularly upset about this article. He said, disappointed but not surprised by the tone of the article. The authors tried desperately to smear Luke Ferreitor with their poorly engineered invective, but instead only showed their limitation of their vision and the mediocre cowardice of their sources who couldn't even air their own uninformed opinions under their own name. Not a single mention of the ballooning deficit, not a single mention of collapsing state capacity, implied that USAID was cut because
Starting point is 01:37:38 Luke misread some database, and not that Doge found that USAID had illegally ignored an executive order by continuing to pour money into unaccountable foreign NGOs, some of which was illegally coming back into partisan U.S. organizations. It is astonishingly irresponsible to paint a target on Luke like this. A number of sources made claims about his motives, which is defamatory, an article like this brings dishonor upon the profession. The other the other side of this is that is that I think this isn't Luke's first rodeo even though he's only 23 I think he is holding up well and I'm and I'm and I think he is he knows that this is this is part for the course and so yeah and it's it's making
Starting point is 01:38:17 a large number of people think that he might be bad or oh sorry well no like you know this could be an example where where a million people think that he's bad oh for sure should be removed and then and then 50,000 people think that like I will support this person throughout my entire life. All it takes is like one crazy person to be really, really destructive. So rough. Anyway, Spore has the other side of the argument says the Luke Faradour article is hardly a hit piece. Some of y'all are wildly overreacting.
Starting point is 01:38:50 You don't just like that a technologist is being scrutinized for working in an extremely important governmental position. Sorry, but the fourth estate has no reason to kowtow to Silicon Valley. And I kind of agree with this. Like, you know, I'm a taxpayer. You work for the government. Just like I would expect, like, to know where the government funds are going and what, you know, is this particular government program efficient or not. I also would like to know who the people are.
Starting point is 01:39:15 And so I do think this is of the public interest. And I think it's okay for reporters to dig into what Doge is doing. Because even if you're pro-Douge, you want to make sure that it's working effectively. And so that's reasonable, I think. Spore continues and says, I super-support. support the new media strategy of going direct and telling these publications to F off when they try and slander you, but then you don't really get to complain when they're not characterizing you how you want.
Starting point is 01:39:39 That's not how it works. For what it's worth, I read the piece. It is a too long portrait of work, Luke. It is extremely long. It takes over an hour if you listen to the audio version. Yep. His history and experience and spends a ton of time on some of his most impressive accomplishments.
Starting point is 01:39:54 I agree with that. It is very, very interesting. Yeah, and they were nice enough to make him look very cool in the picture. I thought so. Although the red coloring does make it look a little like Darth Vader-esque. Then it gets a bit critical. And yes, it does include some stupid jabs. But again, if you're going to work in the government in a highly public and highly controversial role, yeah, people are going to look into you.
Starting point is 01:40:13 They're going to find things they don't like and talk about it. That's the game. Obviously, the publication does not like Doge. They don't like Elon or Trump. And so, yeah, a glowing piece was never going to happen. But if you genuinely read this piece and think they slandered him and dragged his name through the mud, you and I are reading two different articles. Oh, but hey, he's just a kid. Well, one, don't diminish the guy.
Starting point is 01:40:32 He's incredibly talented, smart, and accomplished. So, and also, I don't know how old a person is. If they're operating a key government position, the public has a right to understand who they are. And so I thought that was a good, more nuanced take from a tech insider about the piece. And Max Meyer chimes in with a rebuttal and says, his working government is fair game.
Starting point is 01:40:51 The main thrust of the criticism was the bizarre focus on elements like this, shared by Mike, and the extreme bias in the subtitle, suggesting he's kind of some sort of evil sellout. The bias of writers is fair game too. Oh, so yeah, you can criticize the writers too. Hard to call him a sellout considering he's earning. He hasn't raised money for a SaaS company yet. He did sell out, in my opinion.
Starting point is 01:41:13 Going to work for the government, working for a nonprofit, that's the selling out. You got to stay in the arena, build some sats. Yep. Anyway, post from Aura Karazian, no one is talking about this, but the bull case for AI and economic growth. AI spend is up 60% in construction and 35 times in manufacturing. Faster planning and smarter automation will transform these. Let's give it up for big construction and little construction for adopting AI.
Starting point is 01:41:43 They're adopting AI faster and more aggressively than professional services, technology, finance, retail. This is growth rate, though. So that doesn't mean they're... Yes, but... It doesn't mean they're indexed growth. Sure, sure, sure, sure. So it doesn't mean they're actually spending more. It just means that they're...
Starting point is 01:42:02 They went from zero to... They were not adopting it at all, and now they're adopting it like crazy. Yeah, I mean, I guess they all kind of started at 100, what, two years ago? Anyway, we should talk to ARO about that more and dig in. Relevant post-primary topic at five of six board meetings this week. We covered this with Eric, but he says, how to redesign a startup org in the age of AI. Oh, we should close this extremely important lesson from Peter Thiel. Or maybe we should do a few more posts.
Starting point is 01:42:32 But David Senra said, don't divide your attention. Focusing on one thing yields increasing returns for each unit of effort. At a micro level, an extra hour of focus on the current project has a much higher return than an hour on something new or worse, five minutes each on 12 new things. Before you ever do something, you should understand the opportunity cost versus. existing things. Don't rationalize that something you want to do is complementary when it's not. At a macro level, understanding that applied effort has a convex output curve is a very useful discipline when considering new market areas. This convexity means that the opportunity cost of transferring resources from existing projects to new ones is high unless the new area is
Starting point is 01:43:18 incredibly valuable. Anything we can do to extend an existing convex curve is worth so much more. someone in the comments saying, well, Elon is the is the is the counter example to this. And of course, Elon and Peter Thiel were business partners for a number of years and continued to work together in many capacities. So with that reading, should Timothy Schaulmay be partnering with lucid motors to promote their new car? I think so. I think this looks like a car straight out of Iraqis. So yeah. And I think I think I think it works. Yeah. And I think I think this is very much this actually builds his brand as a, uh, as an actor. Like, I see this and I see, yes, it's an ad for this car, but it's also an ad for
Starting point is 01:43:59 Timothy Shalomey. So he's partnering with Lucid Motors, bold, discerning, unapologetically original. And, and, and, and, you know, his, his primary thing is point a camera at me. And so this is an extension of that. Kind of the main thing. It is, it is the main thing. And this does not feel, if he was starting a car company, I might be like, okay, well, that's probably going to pull you away from the next, really killing it in the next Dune sequel. Yeah. But I, but But I was debating someone with this about Elon. I think we mentioned this on another show. But people say, oh, Elon has so many different things.
Starting point is 01:44:31 He was the CEO of just one company at a time for 13 years straight. So he starts up to in 1995. He doesn't become the CEO of Tesla until 2008. And at that point, he was already the CEO of SpaceX. And so he was effectively like a one CEO person. He did a few different companies back to back because one sold and couldn't run it anymore. He was ousted, but he was basically just focused on one thing for 13 years straight. And so I think a lot of people will say, like, well, Elon can do it.
Starting point is 01:45:01 And it's like, yeah, I mean, he exited to a company for over a billion dollars very early in the dot-com boom. And then, you know, also spent 13 years focusing on things. So maybe if you're at that stage of your career, maybe that makes sense. But be very, very careful. In other news, Kate Clark has a scoop. Iconic Capital will lead Anthropics next mega round valuing the OpenAI RISE. at $170 billion. Hit the gong, John.
Starting point is 01:45:27 QIA and GIC are also in talks to invest. This is pretty wild. They're adding $120 billion to their valuation since the last financing. It was only a 50 last year? Sorry, 110. So they were at like somewhere around 60. That's crazy. That's so, it's such a big gap.
Starting point is 01:45:48 And I think Anthropic is expecting to be run rating at around 10 billion. by the end of the year. So seems like a reasonable multiple given the growth rate. And given they are the 170 tonne gorilla in the co-gen market right now. This will be at the top of the request that SBF sends to the president begging for a pardon. Yeah, you were saying this. So FTX owned 13% of Anthropic. They effectively led, I think, their series C.
Starting point is 01:46:23 or something. They put $500 million into the business. Off the balance sheet. They got 13% ownership of Anthropic. And if they'd held on to that, it would be worth $20 or $30 billion. Of course, they went through bankruptcy and had to restructure. And whoever bought that position is doing very nicely. Exactly. So a bit of a liquidity crunch going on and a lesson there about don't get over your skis.
Starting point is 01:46:45 If you're effectively a bank, maybe set up a separate vehicle for your private market illiquid investing because you can get caught. That's right. Thank you for watching today's stream. We will see you tomorrow live from the New York Stock Exchange. I cannot wait. I wish we could wear these tomorrow. I think we're going to, I think it's a little.
Starting point is 01:47:04 We've got some other seats for tomorrow. But thank you for tuning in. Unique show today. We're figuring out how to do the show on the road. Thank you to our production team. Chad's on the production team that at what's that? Yeah, yeah, yeah. Ben, Michael Scott.
Starting point is 01:47:23 People know they know the names. Yeah, we gotta get that. But anyways, thank you for having us and we will see tomorrow. See you tomorrow. Cheers. Goodbye.

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