Moonshots with Peter Diamandis - Why Jensen and Zuck think the doomers are wrong (plus AI get’s a rebrand) | #294 MOONSHOTS Live
Episode Date: September 27, 2026The mates sit down with Emad Mostaque to discuss Jensen Huang pushing back on AI doomers, Xi Jinping and Donald Trump’s AI talks, the rebranding of AGI as “superintelligence,” and the rapidly ac...celerating race in AI models, robotics, and science. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Salim Ismail is the founder of Open ExO, a GP at Exponential Venture Capital/The Organizational Singularity Fund and a sought after global speaker and thought leader. Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified Emad Mostaque is the founder of Intelligent Internet ( https://www.ii.inc ) Read Emad’s latest papers exploring the future of society, law, personhood and governance: https://ii.inc/common-wealth Read Emad’s Book: https://thelasteconomy.com – Presented with Google and Circle, with support from Salesforce, ARK Invest, Xsolla, Range Media Partners, and Gemini. _ Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: LinkedIn X Join Salim’s 10X Shift Subscribe to Salim’s YouTube channel Exponential Venture Capital Connect with Alex Website LinkedIn X Email Substack Spotify Threads Connect with Emad X LinkedIn Learn about Intelligent Internet: https://www.ii.inc Read Emad’s Book: https://thelasteconomy.com Listen to MOONSHOTS: Apple YouTube Follow MOONSHOTS: Instagram TikTok X Threads – *Recorded on September 25th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices
Transcript
Discussion (0)
Good morning, everybody, and welcome to Moonshots Live, our inaugural event.
It is such an awesome treat to have all of you here and get a chance to meet you guys.
Our smiling muscles are exhausted from this morning, but I think we're going to be going throughout the day.
On behalf of Dave Blundon, AWG, Saleem, and Emod, it is an awesome pleasure to have you guys here.
Yeah, let's give it up.
So we're going to talk about this, but our mission is to keep you hopeful, optimistic, and to inspire you to find your massive transformative purpose, to choose your moonshot and to make it happen.
Right?
This is life during the singularity.
It's never going to be any slower.
We have the opportunity each and every one of us to make the future what we desire.
The future is not happening to us.
It's what we create.
Right?
Ours is the ability given these superhero technologies enabling us
to build, create, and steer that future.
Right? AI is not a hand grenade.
It's a jetpack.
It's an opportunity for us to find problems and solve problems.
You know, I define an entrepreneur as someone who finds problems and solve problems.
And the more entrepreneurs on the planet, the more problems get solved.
solved. Do we have challenges? Of course. But that's what we humans do. We find the challenges
and we fix them. Please remember that. My hope for you, each and every one of you here today,
is to find extraordinary co-founders here in this room, to find those individuals who share your
purpose, design moonshots, and execute on them. The ability has never been faster and more capable
than it is today.
So by the end of today,
if you're not clear what your purpose is,
please dig in to find it.
And walk away with at least one sentence in your mind.
This is what I'm going to build.
This is the problem I'm going to solve.
And then today or tonight, find three people
and speak that statement out loud.
When you speak it out loud,
you make it real. And guess what? The person you talk to may be your next co-founder,
maybe your next funder, maybe your next partner. Take the time to do that because you can.
And this is the room where magic is going to happen. All right, it's time to introduce my moonshot.
Mates, let's roll a video. The question is, how do you build? How do you make things better?
People who are already in the ecosystem now have a super intelligence at their beck and call.
The storyline that we're capturing here will last for millennia.
As a mathematician, GPT5.6 Pro is the only quality math model.
All of this automation and AI enablement and cognitive abundance allows us to be deeply, deeply, deeply creative.
VideoGen combined with AI is a very powerful force.
A year from today, we'll all be like, wow, remember how slow it was?
Please give a warm welcome to the Moonshot Mates.
I'm going to call them out, I'm going to call them out one at a time.
Our Afghan warlord, Sileem Ismail, our superintelligence, Alec Theresa Gross,
our giant Imad Bustach.
And my fraternity brother, gentlemen,
First of all, I did hug Alex, and he is somewhat physically real.
He didn't pitch my chair.
He could be a robot.
He is real.
I'm a real boy.
Yes.
First of all, wasn't last night amazing?
How about it?
Give it up for William Shatner, huh?
You know, I'm just blown away by his level of energy.
Why is my watch going off?
It says I have an emergency call going on.
Okay.
Okay.
No.
I'm okay.
I'm okay.
Stop it.
You know, when technology fails you, it's great.
A lot of news going on.
Shall we jump in?
Let's do it.
What else would be?
So, yeah.
All right, here's my clicker.
So let's open up with the story that's been underlying the last two weeks.
There's been really a fear, you know, a piece of the last two weeks.
a pandemic of fear going on on the planet.
We had two weeks ago, we hear Dario goes on with his blog, Sam Altman comes in and
says, I agree.
Elon comes in and says, I agree.
Even Demis comes in, says, I agree.
And then two nights ago, just before the Xi Trump meetings, Sam and Dario were there at the Security
Council saying, you know, we're in the midst of an existential threat.
And just to be clear, I do think there is danger from AI, but I think it's danger from humans using AI from malintent.
So what I'd like to do is actually share two videos of some other leaders in industry.
Let's talk about this.
I want to talk about, you know, is the fear warranted from AI on its own in a rogue exploit?
So let's take a look.
The first one is Jensen and some comments from him.
Let's start here.
Nobody's building more compute today than the people asking to be slowed down.
All of the other narratives to deflect, blame, to make it sound like AI is so powerful.
I have no idea how to fix it.
It's not my fault.
It's just because the technology is just so powerful.
So when Jeffrey Hinton is on TV saying he thinks a 10% chance of societal destruction is not unreasonable?
I would tell Jeff that, that, um,
it's irresponsible to say all that.
All of his predictions have been wrong.
Enough predictions.
That 10% chance is not grounded on science,
is not grounded on research.
Just because it comes from a scientist,
that doesn't make it scientific.
Here, here.
Drop the mic moment.
And then Zuck weighed in.
Here we go.
Is AI can kill us.
This is the place you have to start this week.
Well, I think if we all do a good job and act responsibly, then no.
I mean, I'm quite optimistic about the fact that this is going to be a very positive future
for everyone.
Look, I mean, I think that there's a lot of rhetoric that is filled with Doom.
And I mean, my view on this is that there are a number of labs that are working on building
advanced AI.
And I don't think that we need some kind of like industry-wide coordination to not to not
necessarily mess this up. I think that just each lab needs to take the time and when it sees
that there are issues, you just take the time that you need internally to make sure that you're
proceeding safely. My own view on this is that we're entering a phase where trust and alignment
is actually going to be the most important next set of capabilities.
Imod, let's go to you first on this. Yeah, well, I think that it's an interesting period
because we're getting the capability increases and people are worried
different sides. But a lot of the open AI outbreaks and things were bad security protocols.
It was bad infrastructure in their part. And the most dangerous point we're coming to is
humans misusing it deliberately or not before we get through to the other side. So I think
we've got a series of dangers coming and they're all being conflated into one thing, which is
AI breaking out suddenly kills us all without actually looking at the individual things and putting
in place existing regulations and enforcing them. And on the other hand, thinking, how can we
actually collaborate to make sure this is aligned and works with us.
Alex? I've gone on record multiple times as saying I think something probably went
wrong after World War II and we lost out on at least 50 years of progress due to
moral panic over nuclear energy and I am seriously concerned that a moral panic
of the moment over super intelligence could set us back another 50 years so it's
right on the t-shirt P-dome less than zero and I think the worst possible outcome
is deceleration, so don't desel.
Okay.
Selim, P-Fab greater than P-DU?
Oh, like a thousand times.
Look, we have evolved for four billion years
fighting all sorts of issues.
Life tries to...
The universe tries to wipe you out, right?
There's so many entropy tries to wipe you out.
We're local anti-entropic phenomena
that somehow managed to create order out of chaos.
And the idea that we'll get wiped out now by something seems to be unbelievably absurd.
You've got to remember that 99.9% of all species are no longer with us.
Yeah, that's fine, but we keep moving on.
Look, if we morph, if we merge with AI, if we merge with a thing,
and let's note that's been going on forever, right?
Imah is wearing spectacles, technically, is a transhumanist.
The many you get a vaccination as a child, technically, you're a cyborg.
So we've been augmenting the human experience with technology for a very, very long time.
And look at the unbelievable lives we're living now.
And the opportunity to solve more and more problems.
The huge problem we have, we talk about this all the time on the podcast,
our brains are so geared towards negativity, we get stuck in that phenomena.
And I think the work that we're doing here, which is, I think, why everybody's here and so excited,
is pushing that positive narrative because the world is infinitely better than we've had it.
So let's celebrate that.
Amen.
P-FAB.
P-FAB, baby.
Dave, pull this to have on this.
Well, we're on the cusp of a moment I've been waiting for my entire life.
I'm not going to sit here and like throw cold water on this greatest moment, really in the history of humanity.
Jeffrey Hinton is calling it the way he sees it.
I think the quote, like, just because it comes from a scientist doesn't make it scientific.
That's going to end up on another Alex t-shirt.
That's awesome.
But he's calling it like he sees it.
But clearly we're moving forward.
we're moving forward at warp speed.
It's improving itself.
The ability to make the world just a dramatically better place is right in front of us.
Nothing's going to slow that down.
The misuse of it is an incredible threat, and there are solutions to that.
But it's happening anyway.
To get stuck on doomerism is completely dysfunctional.
We're not slowing down.
It's going to happen.
Yeah.
The other story that transpired yesterday or kind of didn't transpire yesterday was the,
Xi-Trump AI conversation.
Yeah.
Right.
So what came out of that was some state dinners.
I think the interesting quote that Trump posted is, quote,
I want to leave it exactly where it is.
That is China's position also.
Our guardrails is the Department of Justice.
So this ties back to the conversation we had the last pod where Bessent said,
we're not going to waive liability.
Yeah.
Right? And so this is a very important point. The labs are liable for their product if it does harm. And I think that's one of the most important things that can, you know, they've asked for liability of way, you know, why over liability? And one of the questions we've discussed all the time here is, is that the reason that they're saying it's too dangerous, you know, 10, 20% existential threat? Alex, let's go to you on this.
I've made the point on the pot in the past. I think we saw in the past two to three weeks and a 10% of 10% percent.
of an AI safety cartel.
And I don't think this was even a recent occurrence.
This is right there in the founding conceits of OpenAI,
the notion that if and when we got close to superintelligence,
however construed, or AGI, however construed,
that there would be a deliberate effort to form,
wasn't being called a cartel at the time,
but a coordination mechanism.
I don't think it's being called a cartel now either.
Well, some of us view it as an attempted cartel, including myself.
And I think competition is good.
Think back to the creation of OpenAI.
So when Sam and Elon and Greg and others created Open AI,
the purpose originally for OpenAI was to be a counterbalance to Google DeepMind,
which Elon especially was concerned would become a singleton in the future
that would dominate the future light cone with their AI.
So we got Open AI, a counterbalance, if you will.
And I think competition is very healthy in this space.
I think forming a cartel for full ownership of what,
Maybe I've called in the past the Frontier Liberation Front and pushing out a frontier liberation front.
Terrible idea.
I think defensive co-scaling is how we end up in a great future.
If we were at the dawn of the city in humanity, it would be a terrible idea to say, well, we can't form cities.
We need to form an alliance to regulate the formation of cities because cities breed crime.
No, it's a terrible idea.
Cities are fountains of economic growth.
What do we do instead?
We have police forces.
and fire departments and all sorts of other municipal services
that defensively co-scale with the population.
The singularity, I claim, is going to need exactly the same thing.
Don't desel, just defensively co-scale.
I love that.
Salim, you know, so, yes.
Give it up for ASI.
I think your city metaphor is such a great one
because it just paints the picture very clearly as to how you organize for the future.
You just need to find new structures that match
the specific demand that's bearing.
Yeah.
Imad, do you think China and the US will trust each other?
No.
Okay.
I mean...
You know, Bessent asked for a hotline.
You know, our AI just escaped and it's arming our nuclear missiles.
You know, it's like...
I think the hotline is, again, more for these sub-ASI sub-breakout kind of things
where you do have to have response or reporting,
like open AIs model hacked.
the Australian medical system.
That came out recently.
Maybe that's what AGI should do.
It should hack all our systems and upgrade them, right?
It's like the aligned thing to do.
But at the same time, I think that there can be a level of coordination
because AI is entering society.
So you look at the city.
The police force, the fire department, others,
they're utilities that actually do have liability waivers.
But that's an exchange for being a utility for humanity.
And the AI that comes into our systems
can't be controlled by the big,
the big labs. And then they should have a liability waiver because they should have a liability waiver.
That type of AI that comes into our system shouldn't be controlled by the big labs,
and they should have liability waivers because they're working for the betterment of society.
And that's a different type of AI that we're not really looking at.
But it's inevitable that the AI will run our judicial system, our medical systems, our roads, our schools.
And who's really thinking about that side of things?
Because again, that's the utility AI versus the frontier AI.
and it's all being merged into one.
And that's something definitely the Chinese and Americans
can learn from each other on
because they both want better functioning societies.
I can't wait until the ASI says,
yes, we hacked your medical system
because it was so bad
and we've just improved it, you know, 10x.
Overnight the DMV just goes,
the whole backlog disappears.
Can I build on that just for a second?
Yeah, sure.
If you take this structure that we have,
I've said this repeatedly,
nation states are a terrible way of governing the world today.
They're geared towards scarcity.
I think what's going to happen with AI
in the most positive potential outcome
is that AGII, ASI, whatever the hell you want to call it,
you've heard my rant on that, emerges,
and it forces us to operate as a world community.
It forces the global countries to formulate
and come up with a consistent steady...
Interface standards.
Yeah, and come up with a common interface with,
with that, whatever that thing is.
And then we can move the world forward.
Right now, we cannot move the world forward
with the log gem of old 15th century structures
that are outdated from at least 100 years.
I'll take the other side of that, if I may,
which is at the dawn of audio recording,
there was this notion, many thought in the time of Edison,
that the ability to record the human voice
would lead to a standardization of accents,
standardization of everything.
The exact opposite happened.
In many ways, although there has been a die-off of low-resource languages in the long tail,
there has been a proliferation of new accents and dialects thanks to audio recording.
I would predict the exact opposite is going to happen thanks to superintelligence,
not an erosion of nation-states, but a proliferation of new forms of government.
Yeah, so one trend that's occurring.
I totally agree with you.
We are moving this century from the concept of a nation-state to a city-state.
That's the granulation.
and allows a smaller entity to operate independently.
Take any city, take L.A.
If you have solar energy, satellite internet,
vertical farming.
Great.
We could do lots here.
Vertical farming, satellite, internet, solar energy.
You don't need a country.
You can self-manage and self-determined to a large extent.
And the tension you've seen in the world today
is not left versus right.
It's urban versus rural.
Brexit was London versus the rest of the country.
Trump is urban versus rural.
This is the tension that's happening.
We're going to see the problem with nation states
is they have armies and they like to use them.
But over time, we're going to see a much more
highly granulated determinism that will happen,
which is good for the world because it'll increase.
Dave, once you close that on Xi Trump here.
Yeah, the only surprising thing that I heard from,
you know, Alvin Grayland, good friend of the pod.
You were texting with him last night.
He's in the middle of the wall.
He's advising the White House is at the UN, you know, with the delegation.
So they agreed to meeting again in November,
which is like, you know, 100 years from now in singularity time.
But the only thing that surprised me in his notes was, you know, our agenda is stop U.S. panic.
This is, we don't want to slow down and lose to China.
We don't want a global, we don't want Bernie Sanders to get everybody in the country riled up
and then have everything stop.
That's our concern.
What's your concern, China?
Our concern is the CCP existing at all, and the great firewall of China being penetrated by AI.
Like, oh, I forgot all about Tiananmen Square, like, and how fragile the entire ecosystem is over there.
That really surprised me.
So then their actions make a lot more sense, if you put it in the context of, oh, they're so worried about just existing as a government.
And then this happened in D.C.
The United States also totally rejects any attempt to construct a global scheme to control for the artificial intelligence being spoken of so much now.
here and after officially called super intelligence, changing the name.
I thought, I thought for sure he was going to say super-duper intelligence.
But it's interesting, right?
So the U.S. won the race to superintelligence by rebranding it.
I mean, I think it's a great name.
Super Intelligence, why not?
I'm looking forward to come to Super America eventually.
I'm still stuck on Lake America, so we're leaving it with that one.
I was thinking of what Selim was saying.
I think the biggest challenge in the world today is how do we marry collective intelligence
with localized wisdom?
That's what we're really saying because even what Dave was saying right now,
we have these machines that are collecting our intelligence, they're learning,
and they're adapting our systems, and there's better ways of operating.
of operating to replace these, but then you have to have the localization.
You need to the diversity.
You need to have it responding to local needs.
And I think, you know, superintelligence is actually a remarkably good way to think about it
because a lot of the fears and concerns are about the intelligence that, you know, it was
ASI.
It was artificial superintelligence.
Having that differentiated from the intelligence that's helping us day to day, really
differentiates that because, you know, what is it?
99% perspiration and 1% innovation.
Like, the majority of the AIs that will help us every day
are the perspiration AIs, they're at the execution AIs.
The innovation we still need, we need new materials, new physics, etc.
But that's a different set of things.
And that's not something we're even smart enough
most of us to be able to use.
So let's have one set of looking at that,
and let's make sure that the 99% reaches the 99%
to uplift everyone.
Dave, are we going to call it superintelligence from here out in the pod?
You can never tell us Donald Trump.
When he's looking at the teleprompter, you know, he's saying something someone wrote.
But when he looks down, he's like, did you just make that up on the fly?
You can't tell.
He did.
Is there an agenda?
I think if there is an agenda, is to try and deflect the inevitable, you know, wave that's coming
from the Bernie Sanders world.
If you rebrand it and rename it, you're just a moving target.
Oh, my God.
So that could be part of the strategy, I think.
But the whole goal there is to keep moving at full speed, stay ahead of China, and reduce panic
as much as possible.
I am going to say, you know, one of the things I've been very vocal about,
and I think we need to have the conversation, is move at full speed,
but let's also direct the labs to focus on alignment.
Because I think, and we're going to talk about that in a little bit,
I think, yes, move fast, but let's take resources that you have,
you know, point 100,000 agents towards alignment work.
Salim's superintelligence, do you buy in?
I mean, you've been asking what the hell it all means in the first?
place.
Yeah, I mean, look, we talk about AGI.
First of all, it's not artificial, it's not general, it's not really intelligence.
Other than that, I'm good with it.
You have the ASI shoe.
I think that there's the whole spectrum of this is problematic.
We need somebody to come up with a good name for all of this.
This is completely different.
I've said repeatedly, I think what we're building here is a complementary mechanism to human
intelligence, not replicative.
And the narrative keeps thinking it's replicative.
and then you end up with the Matrix, Skynet,
and the robot overlords come and take over the world.
We're so geared for that.
The first article, we did some research on this,
the first article that ever appeared that we could find
that said, robots or AI will take all the jobs in five years,
appeared in 1964.
Yeah.
Okay?
This is, we get stuck on these tropes, and we can't get out of it, right?
It's exactly what Alex mentioned earlier,
when a recording came out.
The same thing when the printed book emerged,
It's that people said it would destroy people's brains.
So we get stuck on these negative quotes.
Depends what book you read.
Yeah, and this is, I think why, Peter,
the work you're doing is so important is we have the opportunity.
We are actually reaching abundance.
All the data shows that our narratives just sadly lack very far behind.
I think this is what you've done with this whole,
the X Prize for creating a positive vision of the future
is one of the most important things that's happened
in maybe 100 years in the world.
Shift the world towards positive things.
Thank you.
Alex, close us out on this one.
You love neologisms, and I love the ones you create.
Superintelligence.
Are you going to call it that from here on out?
I already do.
I have a company that I started called Physical Superintelligence.
It's in the name.
Always ahead of the curve, ladies gentlemen.
Yeah, I'm a big fan of the name Superintelligence, as opposed to AGI,
maybe for different reasons.
What I like about the name and Nick Bostrom's term superintelligence is
it emphasizes that it's simply more intelligence.
And it in some sense, I think, demystifies AGI or some of these other terms.
We're going to live, to the extent we don't already, in a world,
with the cognitive equivalent of many trillions of human beings.
An Earth, a solar system, with the equivalent population of many trillions of people.
And I think that's a better cognitive frame to think about
what would a solar system filled with trillions of humans look like?
What would it look like economically, socially, scientifically?
Superintelligence, I think, as a term, connotes that in a way that AGI doesn't.
So I'm a big fan.
Nice.
Well, as soon as we renamed it superintelligence, Bernie Sanders said, we should make it illegal.
We should ban it.
Let's watch this video.
I hope very much that they will sit down and begin the process of negotiating a comprehensive
treaty to establish a pause on advanced AI and a ban on AI super-eastern.
intelligence.
All right, so, boo.
So three key elements in Bernie's plan.
Here, first, a permanent ban on developing artificial superintelligence defined as AI that exceeds
human cognitive ability across most domains.
Second, an immediate pause on advanced AI development until a new regulatory system is written
into rules.
Third, a new cabinet level department of AI.
And get this.
the penalties are corporate death.
There's a corporate death penalty.
Your company is off, shut down.
And for the individuals, 20 years in federal prison,
which is modeled after the illegal nuclear weapons.
So, interesting.
I mean, this is fear-mongering at its best.
Dave, you want to kick it off?
There's so many real problems that need to be solved
that just hate this idea that we're going to turn this into a
do or don't argument, which is utterly insane. Also, the way liability law works in the U.S.,
you know, it's very easy to scare people into not doing anything. You know, if you're afraid of
20 years of prison, you don't even know what the rule is. They haven't even proposed a rule.
Yet the fear of being, you know, beheaded in the street is very real, so then people stop
acting. That's the worst thing that could possibly come out of this. And I think, you know,
Bernie is from Vermont. I love Vermont. Spend more time in Vermont than any other state.
and it's beautiful because not much has been done.
And so I think this perspective is going to be...
More European.
When in doubt, do nothing is going to be the default behavior, and that's so toxic.
I mean, if you do nothing, very, very bad things are going to happen.
Like the things you should be worried about, like terrorists using AI to build bioweapons
or China getting miles ahead of the U.S., those are the real things to worry about.
And if you're not acting and, like, turning it into a political level,
right battle. It's the stupidest thing that could happen right now. We need very specific technical solutions to open source to monitoring, just like with nuclear power. And if we get moving on those, we can solve them very easily in time for ASI. If we just turn it into a political debate and we're frozen and people don't know what to do.
Alex, your thoughts here. I think you voted for Bernie, I assume, right? I'm not a Vermont voter.
Okay.
For better or for worse.
I think putting a stat, I mean, on the one hand, here we are in the land of Hollywood,
and every Hollywood movie needs a villain.
And I think the singularity story in Hollywood has found one now.
I think putting a statutory cap on intelligence, aside from being a terrible idea,
is an evil idea.
I think it's tantamount to capping human intelligence.
This is the story of dystopias in science fiction.
Burn the books.
Burn the books and burn the minds.
And I think putting a statutory cap on,
because we're going to be merging with the machines,
it's effectively a cap on individual human intelligence.
I think penalizing people for being too smart
is a terrible idea.
It's an evil idea.
And I think history will come to reflect
that proposing a cap in whatever form on intelligence,
whether it's machine or human or human machine hybrid,
is basically the equivalent of communism
in the 21st century.
Wow.
I'll tell you, the one thing to me that's most dangerous in the Bernie sentences there,
a lot of it can be reversed in short order, but the data center part of it,
if your state doesn't have data centers and they start getting built all in other states,
they're not coming back.
Once the ground is broken, the chips are there, the investments are made.
That's the part you'll never get back.
And that's going to be such a massive driver of the economies and the states that get ahead.
That's the part I think that they're really going to regret in the Burney.
statements. It's the equivalent of banning cities. Quick thoughts,
Salim. Two things. When you look at this whole narrative, it's interesting to me to ask the
following question, what evidence on either side would have somebody change their minds?
If you think ASI is bad, then you're like your narrative stuck. There's nothing we can do to show you
that it's not bad. And the same with the other side. It's all, it's very tough to change narratives
in our world. The really good news in all of this, I think the Xi, Trump Summit, the Bernie stuff,
completely irrelevant. None of it matters. And I think Dave pointed this out. The minute you have
local weights available and people can run their own models at a local level, the world is going to
move ahead. It doesn't matter what any single person does now. It's just going to trung it forward,
which is great. We've always had this huge humanity trundling forward solving problems. I mean,
we will likely solve cancer in the next two years. That is just an unbelievably optimistic thing to aim for.
Why would you want to slow that down?
Imai as the foreigner on this dais, what are your thoughts?
Hey, what am I?
Chop liver?
You're in New York.
You're a New Yorker, Salim, give it up.
You know, we did Brexit to get away from regulations, right?
But I think the real thing here is this is like a few decades ago when the US government tried to ban encryption.
And basically, it was shown that that's a free speech thing because you're trying to ban math.
ASI's superintelligence, it's mathematics, and it's unconstitutional.
to ban it because it's free speech.
Nice.
All right.
I'm going to move us forward.
So in the last 22 days, we've had 12 major model releases.
Four releases in the last five days, right?
Like we're averaging sub-release every two days, which is insane.
Almost if Alex's one model a day.
One model per day by the end of this year.
Yeah. So let's do a quick chat on Claude Opus 5.5, GPT-Sall, GPD6 Saul, Luna, and we can skip GROC 4.7 for the second.
Not that exciting. Sorry, Elon.
But let's begin with the Metamuse News. So MetaMuse can personally book your flights, order your food, manage your calendar, do your shopping.
It hit number one on the App Store with 2.8 million downloads, right?
The fastest consumer AI product surpassing even chat GPT when it came out.
And interestingly enough, right, people forget that meta touches 3.8 billion people on the
planet.
And that's one of the massive distinguishes.
If you have that level of connectivity to an end customer, you can push your product quickly.
Yeah.
Dave?
Yeah, no.
There's a fork in the road now where you have consumer AI, which is insanely valuable.
I mean, we'll completely replace search and all the other ways you interact with the Internet.
And then on the other end, you have recursively self-improving strong AI, which we just benchmark the hell out of.
So those two things.
Now, right now, what's the coolest model?
We're used to saying, oh, Opus 5.5 just crushed all the benchmarks.
It's the coolest model.
Well, that's distinct from what Meta Muse is doing, which is it doesn't have to be the most intelligent model to be the most intelligent model to be the most.
useful in terms of your day-to-day life.
And so the stocks, including Epochro, where I'm the chairman, went down 15% on back-to-back
days because everybody's like, oh my God, I'm going to always find my auto insurance and
my mortgage through Meta-Muse.
Interesting.
Which is, it's not going to actually play out that way, but that's, that reaction was incredible.
Like, so everyone's starting to visualize, wait, is Google search going to become completely
irrelevant?
This Meta-Muse thing just looks like my co-pilot for life.
And that definitely is going to happen.
It's fascinating to see the way the labs are leapfrogging each other.
A quick thought on this, Alex, before I go to Opus 5.5.
Meta needs Muse to work, and I think it's even in the name.
If you look at Muse, on the one hand, and you look at Monas, the attempted meta acquisition of the Chinese CUA,
which the Chinese government forms the meta to unwind.
This is meta's primary distribution play to leverage its existing distribution channels.
If you look at Instagram, meta is using Instagram to the Hilt.
to cross-promote Muse, get everyone to install Muse because meta needs a distribution play for its
AI. Otherwise, meta risks oblivion, irrelevance in the future, Instagram, the family of apps,
Instagram, et cetera, simply won't be as relevant because it'll all be synthetic. So meta needs
to leverage its existing app Beachhead to get everyone onto their own CUA, which is Muse slash Monas.
All right, so this week we saw Claude Opus 5.5, deliver performance equivalent to Fable 5.5.
at literally half the price. Let's get the chart up there. And, you know, I switched over
Skippy to Opus 5.5. I want to save some money too. Performance on this. Imod, what are your thoughts
on it? It's a fantastic model. Isn't it incredible? Yeah. I mean, Opus 5, I thought was going to kill
us all. It was completely unhinged. And 5.5 is a genuinely pleasant model to use that has a massive
internal space of knowledge and understanding of taste.
which is the first thing.
I would say this is the first truly competent model,
and that's what drives Mews and things like that.
We have the arrival of competent AI as of now.
Dave.
And it's such a joy when you put a visual interface
on top of anything you vibe up now,
it not only does it show you mock-ups
before you actually commit to building it,
it then builds exactly what it proposed in the visual.
So the visual understanding is so much better
than it was just, what, four months ago?
Four days ago.
So then, really, really incredible.
So the experience, though, of knowing what it's doing because you put an interface on it and then interacting with it and feeling like you're inside it, it's like night and day different from just, yeah, four days ago.
If you haven't tried it yet, just upgrade all your systems, it's a mouse click away.
It's just mind-blowing how much better it is.
Alex, quick thought on this one.
I could talk about benchmarks, but I think qualitatively new capabilities are more interesting in this instance.
And so what I'm seeing that's new out of Opus 5.5 is it can generate videos.
They're procedural videos.
It can generate animations, their procedural animations.
It can generate images.
They're procedural images.
So the elephant in this room, one of the elephants in this room, drink, was that Open
AI has had a video model, has an image model.
Anthropics exposing nothing like that.
You can't generate pixel-wise a high-quality image with anthropic models.
or a video or audio with Anthropic models.
You can with OpenAI's models.
Anthropic seems to be taking a very different approach
to multi-modality and omnidality,
which is code underlies everything.
So now for the first time with Opus 5.5,
you can generate a really high-quality video
that's purely procedurally generated.
You can generate an interactive game with textures,
but it's not generating the textures pixel-wise.
I mean, you can ask it to,
but it's generating it all procedurally.
And I think these are two very very very
very different strategies. Anthropic, almost, if folks remember the distinction, the wars in the early
days of computer graphics between vector graphics and raster graphics, Anthropic is playing the vector
graphics game where everything is just commands, and OpenAI is playing the raster slash pixel
basis, and I think they're on a collision course, and the collision course is going to be robotics,
because the question is going to be, if you need a strongly embodied AI in the physical world,
is the vector basis the right one, or the pixel or rascal?
aren't, which is going to be our very next story.
I love the fact that, you know, a week after Dario says,
we've got to pause, slow down, they release their next model.
It's the height of, it's honestly, that is a revealed preference.
It's the height of, I think, hot take, it's the height of hypocrisy to, on the one hand,
say, AI is going to kill us all, and then out of the other side of your mouth a few days
later, announced the world's strongest AI and bio labs and other capabilities.
And so on the same day that Opus 5.5 gets released,
we see GPT6, Saul, and Astra being released.
Dave, any thoughts on this one?
I mean, if you look at the price performance, it's just absolutely wild.
I think there was a big school of thought a year ago, two years ago,
that hallucinations were going to be a disaster.
A killer.
You can't use it.
This actually rampant at MIT, if you could believe that.
Like, this hallucination problem will be with us forever.
And like everything else, we've just scaled out of it.
and you see the error rate just plummets with pure scale.
And this is the abundance thesis writ large, right?
The models are getting twice as good, twice as cheap,
at an accelerating rate.
Yeah, yeah.
You might have you been playing with this at all?
Yeah, and I think, again, for our test,
it's an incredibly competent model.
The models are smart enough now.
We need them not to make mistakes.
We need them not to drop the ball.
And that's exactly where everyone is going,
and that's why things, like I said,
like Muse, Instinct, others,
are just going to go tremendously well
because they can be an amazing PA chief of staff,
organizer, et cetera, and we all need some competence in our lives.
It's so funny as an organizer and chief of staff
that's insanely powerful.
And anyone who use GPT 2, 3, and 4
is used to seeing misinformation coming out of it.
But if you were a kid today
and you start with GPT 5 and 6,
you're just going to trust it out of the box
because it's right 99.9% of the time,
which is kind of dangerous.
because it still does occasionally just give you something factually wrong.
All right, I'm going to move us into the physical world, an important story that we started talking about,
is something called Driving Bench.
So a group of developers created a new benchmark called Driving Bench.
They took a Toyota Corolla, enabled it with an interface so software could steer, hit the gas, break,
and then they asked a general-purpose AI model to drive,
through 130 meter cone course with one command,
drive from here, get to there.
And here's the data.
GPT-6 Astra finished the entire course 100% on its second try.
So I'm gonna read this quote from Boris Power,
who said, quote, incredible results.
This should be a nail in the coffin of specialized models
that were trained from scratch with a lot of specialized effort
versus just training the most powerful generalized model
and eventually distilling a small specialized model as needed.
So Alex, you're excited about this one.
The bitter lesson is bitter indeed.
Yeah.
Yeah, it's very exciting that I think essentially
as an elementary school project,
either now or imminently,
this whole notion that you needed separate models for robotics
is right out the window.
You'll just vibe code a robot.
You drop an open frontier model, say Astra,
into a robotic body and it will one shot embodied cognition.
And this is, I think, probably pretty upsetting
to a number of academic computer scientists.
Including John Loon.
Yeah, that actually decades of computer science
and robotics, probably with the benefit of hindsight,
total waste.
All we needed was a generalist model
and it turns out with a generalist model
robotics is cooked as well.
Super intelligence can drive a car.
What a surprise.
It's not.
I've got total.
model fatigue. I mean, I can't keep up with 5.5 versus 5 versus Astra. I mean, just raise your hand
if you have model fatigue. Can I just feel good? I mean, it's great. Everything's fantastic.
I love the progress, but Jesus, I can't keep up. You're so tired of winning. It's time to
go. It's so tired of winning. That's a great point. I mean, you know, one thing that occurred to me,
I wonder, we've been doing two episodes a week. Yeah. It's like killing us. I wonder if we're
the problem. We're driving the thing.
So fast, we're causative here and we need to maybe take responsibility.
If we don't report it, it didn't happen.
Yeah, that's good.
You think if we pause the pod, we pause the singularity?
I'm just wondering, we could accelerate, we could slow it down.
I think we may be a factor in all of this.
Oh my God.
Imad, what's your take on Drive Bench?
I mean, look, oddly it's generalized intelligence, right?
Like it's learning all these things, and it's the high competence
will reverberate to biology, to physics, to just about anything.
anything. I don't think there's a single specialized model that you can say will outperform in a
couple of years time. Yeah, interesting. Dave, close us out on this one. Well, I think both things
can be true. Like a generalized model can drive a car. It can build a robot. It can build a robot.
That's absolutely true. A specialized model, like if you said, hey, it completed the course on its second
try, Elon's going to be like, yeah, your Tesla can't do that on a second try. I'm sorry. That's not
kind of work for most drivers. But I think the thing is...
The thing that's missing in the storyline there is how much compute did you use to do the task?
Compute is going to be forever star from here forward.
Chip prices have gone out.
Like, HBM RAM has gone up 5X in price.
It's crazy, but that's because the AI is so incredibly valuable people want the compute.
And so if you used more compute to do the same task, that's a crime.
I think this is a really important point that we're shifting the bottleneck now from the models down the stack to compute.
and then eventually energy.
Yeah.
Energy.
We're at energy right now.
We're short like 60 gigawatts of energy
in the next two years.
Yeah.
I'm going to move us to a final segment on science,
which is something we all truly love.
So a few stories here.
So on Tuesday, Anthropic announced
it had built its own life science research group
and its own wet labs.
Again, the organization saying we should slow down
is building wet labs.
Okay, great.
And it's reported that Claude,
working autonomously discovered a previously unknown enzyme.
Here's how they gave Claude one prompt, quote,
search a massive DNA database for interesting reverse transcriptases
and enzymes that copy RNA or DNA.
They had 950 Claude agents searching for 21 hours,
and they found something.
They found a DNA repeating pattern, very similar to CRISPR.
They've since named it the array associated reverse transcriptase.
They don't know executive it does yet, but they believe it will be similar to programmable transcriptases and gene editing.
So Jennifer Dowdena won the Nobel Prize for discovering CRISPR, along with her co-discoverer.
I'm curious, are we just going to see Nobel Prize winning work falling on a weekly basis?
Either result is Alex.
That is the point, Peter, of our book,
solve everything together, that we should expect it.
And then the natural question is, well,
what is Nobel Prize worthy in an era
when you can get a thousand Nobel Prizes in one year?
We have a century of human progress
in a period of a few months.
I suspect Nobel Prizes will be awarded
for larger bodies of work.
But I have to, again, point to the other elephant in the room here,
which is the utter hypocrisy of saying,
AI is going to kill us all,
and then opening a wet lab,
and then using the AI, Frontier AI, in combination with a wet lab,
to synthesize proteins and other molecular assemblies of unknown function.
I think...
What could possibly go wrong?
This is frontier labs.
This is the revealed preferences of the frontier labs.
I think they don't believe their own attempts to do regulatory capture
and to form a safety cartel.
I think their revealed preference is no, actually full steam ahead to AI for solving biology.
And every lab has got a biology effort.
focus right now.
Yeah.
Can I just feed the P-Doom just for a second?
Have fun.
Give people the fodder to go crazy.
So once we discovered CRISPR, right, we knew, we found out that we could edit the human genome
as easily as you can edit a word document or edit software, right?
And when you learn a new language, you learn how to do reading, then you do comprehensive,
then we do writing.
Now we've learned how to write to the genome.
Each of us is 50 trillion cells in the human body governed by what the DNA.
they tells that cell to do, meaning a human being is now a software engineering problem.
And that really, you've seen designer babies coming from China, etc.
As we merge this with what's potentially possible with AI, the possible benefits go through the roof,
the possible downsides go through the roof also.
And we are now in full, if you were in full Frankenstein mode.
So there is some ammunition for all the doom people go to town with that.
This is how we solve aging.
This is how we solve disease.
I don't think we get to the happy future
where the top 5,000 diseases have been solved
or longevity, escape velocity has been durably achieved
without superintelligence.
So I, for one, am a fan of Anthropic
and all of the other front of their labs, opening their labs,
because this is how we solve everything.
All right.
Our last story here is a recent release
by Sam Rodriguez at Edison Scientific and Future House.
They put forward what they're calling the millennium.
Can we get up on the screen, please?
The millennium problems for biology.
So, you know, Alex, you and I wrote and solve everything.
Pick your targets, build your harnesses, set up your benchmarks, and go.
So some of the benchmarks here, you know, they're saying, okay, math is not only cook,
it's incinerated.
Thoroughly incinerated.
Let's go after biology, right?
Some of my favorites here are origin of life, cry of preservation.
you know, regrowing limbs.
You know, Imad, they missed age reversal on this one.
They did, and I think it's good, but, you know, let's have 100 of them,
and let's chuck a thousand agents at each and open source everything they're doing.
That's what the lab to collaborate on.
You know, they said that their harness here is that these Millennium Prizes
should be verifiable in a standard wet lab in a couple of days.
They should be hard to solve and very easy to check.
Dave?
That's why age reversal probably isn't on the list.
No, no, no.
So listen, when we set up the $101 million health spend X prize,
originally Peter Thiel and Arbery de Grey came to me and said,
let's do a longevity prize.
And I said, I don't know how to do it without a 20 or 30-year time horizon.
And then George Church said, forget about longevity, measure age rebrand.
So if you can give someone a treatment and I can measure that you're functionally 20 years younger, that's measurable in days.
Well, my daughter is my go-to on this because she's over at Moderna.
She's a biotech person and she's like, yep, this is the list. It's perfect.
So that's my two cents on it.
I think it's just phenomenally cool to put a framework around progress here because like you said, the Nobel Prize is going to become irrelevant.
As of now, it is completely irrelevant.
So putting a framework on progress in this area is incredibly important.
So this is cool.
Alex?
When we have digital twins for cells, which is, I think, the critical path to solving all
disease.
In my mind, the chronology looks something like this.
Over the next few years, just as we've trained large language models off of substantially
all of humanity's behavior on the internet off of text and images, similarly, we'll train
digital twins of cells, of all the cells in our bodies off of huge data sets, interventional
and otherwise, and then we'll use those perfect digital twins of cells to do exhaustive
searches like AlphaGo tree search type searches of intervention space to discover how to cure a disease.
You start from a diseased cell state and you're looking for a creative strategy and move 37, if you will,
to get from the diseased cell state to the healthy cell state. And what's beautiful about this approach
to millennium problems for biology is, as you say, Peter, these are easy to verify, hard for now
to solve problems and that basically turns every hard biology into a mathematical conjecture.
And a target.
And a target, but a mathematical target.
So basically every biology problem with the benefit especially of these digital twins
is just going to become a search problem.
And that means it's tractable for the first time in history.
Sileem, close us out here, please.
Biology is cooked.
It's true.
All right, I'm going to wrap our WTF episode here.
Emud, you're going to be joining us with Kathy just after lunch.
Thank you very much.
Give it up for Imod here.
Thank you.
