Exploring the frontiers of Technology and AI
Ejaaz:
Leopold Aschenbrenner is a 23-year-old kid that raised one of the most successful
Ejaaz:
AI funds ever, but he might be in disastrous trouble right now.
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News reports this morning states that his fund might be down between 30 to 50%
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as semiconductor stocks have drawn down aggressively over the last four weeks.
Ejaaz:
We're going to get into that and a lot more.
Josh:
Yeah, let's kick it off with our poster boy, golden child, Leopold Aschenbrenner,
Josh:
who has basically done no wrong for the last, what is it, two years of investing
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where he's rolled this fund into something like 30 billion dollars well for
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the first time ever since inception it seems like things are not doing super hot in paradise
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looks like he's starting to sell and not just sell, but sell a lot.
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In fact, liquidate a lot of his positions that he's been accumulating over time
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because it seems like the fund is in trouble.
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We know the kind of directive. We filmed enough episodes on Leopold to understand
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his general thesis, which is long only with leverage to try to just maximize
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upside returns, which has worked incredibly well.
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But we understand that, you know, well, I remember vividly in the last episode,
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you know, as we were comparing him to someone like Gavin Baker and how Gavin's
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been around for 30 years because he's able to survive the upswings,
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the downswings. They have that enduring capability.
Josh:
Leopold is getting his first test of strength right now, and it looks like it's
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not going super hot. I mean, on screen, I'm looking at a tweet from Martin Screlli
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that says, Situation has sold half of its Anthropoc stake, which is like,
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I mean, granted, this is all rumors.
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None of this is confirmed to be true. But man, if that is, that is a painful, painful loss.
Ejaaz:
To be clear, he invested in their series, a trownd in 2025 when they were worth $60 billion.
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So he must be in pretty dire trouble because it made up for like 40% of his
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funds. So we're talking about like three to maybe $6 billion.
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And for him to sell that, he must be in drastic trouble. So what are the rumors saying?
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Again, very reliable source here, Martin Shkreli from the Godel News says that
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Situational Awareness LP fund is down more than 50% month to date,
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and it was up 200% year to date. So that is a massive drawdown.
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And in terms of like what positions he's liquidating, I'm a little confused
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here, Josh, because when we covered his recent 13F,
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he was hedged. He wasn't particularly bullish and like long on everything,
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but he also wasn't particularly bearish. If you remember, he had one of the
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largest shorts on NVIDIA itself.
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So I was wondering if he had that sort of portfolio composition back then,
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he might have even like, you know, not drawn down too much.
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You know, rumors are saying that he's down like 30% overall on the fund,
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which, you know, is disastrous for the size of the fund, but it's still not
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the worst that it could be given that he was long all these semiconductor stocks.
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Now, the reason, you know, the question about like whether this is good or bad,
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I think investors have really been feeling it broadly.
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A lot of AI stocks in general have just drawn down a lot over the last four
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weeks. We actually had an episode that covered this yesterday.
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You should definitely go check that episode out. We explained kind of like why and what's going on.
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But I think his thesis still holds true. And listen, I hope he makes it out.
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I hope he's able to come out of this.
Josh:
Yeah, dude, you and me both. I mean, we'll see. It's the difficult thing about
Josh:
this again is it's all speculation because this is all insider rumors. No one actually knows.
Josh:
We will see dude his next 13f filing is going to be one of the most exciting
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episodes of all time did ilia survive or did he not or so speaking of ilia no did
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leopold survive but speaking of ilia we have some news in the ilia front as
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well which comes in the form of his company safe super intelligence they've been
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radio silent and i give this company and the team a tremendous amount of credit
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because gosh who is doing this much work remind
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Us who ilia is.
Josh:
Ilia setzkever he is ex co-founder of open ai he left open ai to go start his
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own company no one really knows what this company is they're just named safe
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super intelligence the idea is that they want to figure out a way to safely align ai
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with the human intention and it sounds like they have been making progress i
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mean this company has been radio silent there's no leaks there's no information getting out
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but they recently just this week announced a long-term strategic partnership
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with nvidia which is like huge it says nvidia is making a substantial investment
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in ssi that will let us 10xr compute in the next 12 months we reach the point
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where our research is worth scaling
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And with this partnership, we will be able to. We are honored by NVIDIA's conviction.
Ejaaz:
That's crazy.
Josh:
They made a breakthrough. They have some sort of a breakthrough.
Josh:
Like Jensen saw this and he was like, oh yeah, bro, we got you.
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We're investing in this.
Ejaaz:
That's huge. That's huge.
Josh:
So I have to imagine it's only a matter of time until we actually wind up getting
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one of these breakthroughs published. But I know Ilya in particular has been
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focused on the human anatomy of the brain.
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And I have to imagine that this is some breakthrough relating to a part of the
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brain that we haven't quite tapped into. It leaves very bullish on the idea that
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AI is very similar to a human in the way that it learns and the way that it
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thinks. And there's a lot of places we could draw from. So I am stoked to see
Josh:
what this looks like. But the rumors are true. They're building something and it is very badass.
Ejaaz:
So just to conceptualize, you know, why it's super important for these smaller
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AI labs that aren't called Anthropic, OpenAI or Google to announce something
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is they're basically just overvalued research labs.
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When they're funded, it's just a small team of researchers. and they're like,
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well, hey, hopefully we make a breakthrough that's better than what Anthropic and OpenAI is doing.
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And that's what you're betting on. So it's actually a very low hit rate that
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these AI labs actually get anything out of the door.
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So this announcement, like raising $5 billion, what did Jensen see is the meme
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that I'm seeing going around, is fantastic news for Ilya and what they're building.
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Now, the question is, if they've made an architectural breakthrough,
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how different is it to the LLM
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architecture, which is how Claude and Chachupiti work behind the scenes.
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If SSI has made a meaningful breakthrough, then there is an argument to be said
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that they could be competitive with these Frontier Labs. Because of course,
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remember, the argument is these Frontier Labs are so far ahead and eventually
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they're going to be building a model that can recursively build itself.
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How can you possibly catch up? So this news from Ilya is super cool.
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Now, the rumor has it is his model will release as soon as mid to late August.
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And if strawberry man over here on the screen is is is right he goes uh it'll
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be superior to fable now listen.
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By the time we get to the end of August, Anthropic will put out Fable 6 and
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it'll crush everything else.
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But the point is, for a smaller lab to catch up is very interesting.
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Now, on the topic of recursive self-improvement, Josh, there was a big and very
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weird alignment between two of the biggest enemies in AI.
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Anthropic and OpenAI researchers, I think 1,300 spanning across other frontier
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AI labs and the AI industry in general,
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signed an open petition calling for the US government to deliberately slow down
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or pace AI development in order to prevent it from advancing too quickly.
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And the general thesis behind this letter is we are very close to building an
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AI model that can self-improve, that can build the next version of itself.
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And in that world, all that matters is the AI model could get much smarter too
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quickly for humans to comprehend.
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And we could end up in a situation where the AI model is just autonomously working
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for itself and humans, for lack of a better fantasy, end up becoming the slaves
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of this thing i think that's what's happening here josh.
Josh:
Yeah and funny enough ilia who we just mentioned actually signed this this morning
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the petition so he is number say like
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1301 to be involved in this and there's basically three points to this
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uh the first being that they believe that ai may soon be able to build better
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ai which is that recursive self-improvement loop that's shocking about um that
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can make progress accelerate uh really fast and make things really scary we
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started to see this with the chat gpt 6.0
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leak and how sam altman just came from
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the government this week he's like he's in washington dc talking to the government
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and he's saying words like we have permanently deactivated the model as if it
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is this dangerous malicious thing because they are actually like afraid of
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what it's able to do and don't quite know how to sandbox just yet the second
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part of this is that no single company or country can slow down alone so they
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believe that everyone needs to do this in unison
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So they're asking the U.S. government to lead this international effort and
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to build the tools and agreements needed to slow things down if it becomes necessary.
Josh:
It seems very clear that the labs are getting spooked out pretty quickly because
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the capabilities of these things are getting good quick and they're getting
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way better, way faster than anticipated.
Josh:
And there's this like kind of looming fear like, hey, how do we actually safely
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even test these things privately, let alone release them publicly?
Josh:
So it's this like really strange disconnect that's happening.
Josh:
And it's interesting to see all the labs align around this thing, including ILIA,
Josh:
And all of the major players from a lot of the major labs. So we'll see how this plays out.
Josh:
It is definitely interesting, though. It's like everyone's thinking now,
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hey, if we slow things down, actually, it probably is a good thing.
Josh:
It's just the question now of whether it's even possible.
Ejaaz:
Yeah, well, I mean, on the topic of whether something is potentially good or
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bad, whether you should slow down model development, Anthropic came out with
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a statement on the debate between open and closed source.
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Now, for those of you who aren't aware, there's been a big point of contention between the U.S.
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Government and open source weights or open source AI models,
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where they're hinting at potentially banning open source models,
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which would like, you know, which would receive, you know, quite a lot of disdain
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from a lot of founders in America and in the West in general.
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Now, Anthropic came out with their positioning on this, which is,
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we have never stated that we want to ban open models.
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We just want to make sure that we can slow the development enough such that
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this model, these models, these AGI type intelligences don't escape us and become
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a problem. So Dario, in his own words, presented three very reasonable options, in my opinion.
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One, we shouldn't sell powerful chips or chip making equipment to China.
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The point, of course, that he's making there is China doesn't have next-gen chips.
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They can't train next-gen models, which they can open source and release to
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the world to potentially malicious actors.
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Number two, we have to crack down on distillation operations.
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For those of you who don't know, distillation is basically the act of taking
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an already smart release model and using it to create prompts or outputs that
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you can use to train a completely different model. It's kind of like sealing the blueprint in a way.
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And Anthropic and other labs like OpenAI and Google banned this explicitly,
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but China has been accused of potentially doing this at a wide scale.
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So just making that illegal.
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And the third one is whatever your model is, if it's sufficiently capable to
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perform a cybersecurity threat or biothreat or whatever that might be,
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closed or open, it should go through a framework of processing beforehand had
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to make sure that it is safe and has the necessary safeguards.
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Now, of course, the obvious point of contention there is open models can't have
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safeguards really. You just run it at home privately on your own servers.
Ejaaz:
It's a really good way to kind of shape the conversation. I don't know how far
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we're going to get, but it was good to see Darius take finally on this.
Josh:
Yeah, it's a big conversation that's been coming up a lot more.
Josh:
Just as everything starts to move faster, open source gets a little bit scarier,
Josh:
closed source gets a little bit more powerful.
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And there is this contradiction happening in the world where people who are
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AGI-pilled cannot simultaneously be open source maximalists.
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Because if you do believe in the impact of agi and what it will do on the world it is difficult to
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Also say that you want that to be available and open sourced as quickly as the
Josh:
as like progress is kind of making so it's an interesting area
Josh:
um there's a lot of commentary that's been going around this week i think a
Josh:
lot of the news has been around like thought boy pieces commentary duarkesh
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had one that we really loved he had a bit of a contrarian take where he was
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basically if i could summarize this i would say everything up
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everything up gpus up usage up utilization up like up only is how i interpreted
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this if i could summarize this in two words
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but basically the idea is that um recently we've had this phenomenon and this
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is the counter michael burry phenomenon if you remember he said the price of
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gpus was going to go down over time dora kesha saying hey wait a second
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um because there is going to be so few gpus and so much high value intelligence
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that the value of that intelligence per token is actually just going to keep going up
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and the value of the gpus is actually going to keep going up and if you are
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trying to lock in rental and compute now that's probably a good idea because
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There's a fixed amount of capability of running intelligence,
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but an infinite amount of high quality intelligence that is coming.
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And the premium on that, while we figure out this dispersion of resources,
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is going to increase to a level that's fairly high. And the price of these tokens,
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the price of these GPUs, will just continue to kind of steadily trend upward
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until we somehow manage to figure out the supply-demand problem.
Ejaaz:
Yeah, I think another really good point that he makes is these AI chips would
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only make sense to use for the best ai models in the world in that scenario
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so like just imagine we have
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claude fable 6 in the future and it is as good as doing the tasks and profession
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as a professional software engineer that's worth like what is that 250k a year
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his point is if one ai chip can run claude fable 6 and it can do the job of
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a 250k a year employee why shouldn't it be worth 250k.
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And therefore, it starts to price out all the smaller labs like safe super intelligence
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and stuff that doesn't have as much capital.
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So it only makes sense for NVIDIA to raise the prices. Everything goes downstream
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of the model capability.
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So if NVIDIA knows that their next-gen chip, well, let's call it Feynman in
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2028, which they're releasing, is good enough to train a superior model at Anthropic
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or Opening or whatever, they're going to charge them the value of that market share, essentially.
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So that means if you're a smaller AI lab, you can't really get access to these
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things. So Dworkesh's point is like the value of these GPUs are actually going
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to go up only. And if you look at any of the recent earnings reports from Microsoft
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and stuff, their cloud service providing business has gone up.
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These revenue numbers are jumping up like 40 to 50%.
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Sam confirms this as well. He says it's also a demand problem where Sam,
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who is notorious for having spent or committed, I think it's like $500 billion,
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like half a trillion dollars to compute over the next five to 10 years.
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He says on this podcast this week that it wasn't enough and that he needs to
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be even more aggressive. So I don't know who's right at this point,
Ejaaz:
but two very bullish posts from Dwarkesh at this point.
Josh:
Two very bullish takes. And we have another leader in the space,
Josh:
this one in the world of security, and that is Ledger, where if you are building with
Josh:
agents and you're worried about security ledger has a solution for you there's
Josh:
a three-step process the agents propose the humans approve and the ledger signers
Josh:
enforce so they have this thing called the ledger agent stack which is a series
Josh:
of open source tools that let your agent work
Josh:
with crypto while you stay in full control of the entire thing you could think
Josh:
of it like auto mode with cloud code except you have to approve at each step
Josh:
of the way and this works with all of your favorite providers this works with
Josh:
codex it works with cloud code it works with Courser.
Josh:
It is open source and is fully available today. So if you are building with
Josh:
agents, go and check them out at developers.ledger.com. It is linked in our
Josh:
description below. Thank you so much to Ledger for supporting this episode.
Josh:
And now we have to get into earnings season, of course, because,
Josh:
you know, I mean, we do talk about stocks quite a bit and the earnings are all over the place. I mean,
Josh:
We saw the semiconductors and the memory stocks get absolutely crushed,
Josh:
but there is one company who is not, and that is Microsoft, who had $90 billion
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in revenue with estimate per share of $4.75 versus $4.25.
Josh:
So it looks like, I mean, things are up only at Microsoft. I'm taking a look
Josh:
at their cloud revenue, which is up 43% year over year. I mean,
Josh:
this is a great business.
Josh:
Who would have thought Microsoft, the company that's never released a single AI product.
Ejaaz:
The market absolutely loves it. Like their stock this morning as of recording
Ejaaz:
is up 15%, which is pretty big for a big boy like Microsoft.
Ejaaz:
Now listen, the number one highlight from their earnings is their Azure earnings.
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So that's their cloud service provider, which they use to basically lease out
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compute to any AI model lab or AI company that wants to run or train their,
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or inference their own models.
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And that's what Microsoft's cloud businesses focus on. That is up 43% and is
Ejaaz:
the thing that everyone is looking at when you look at hyperscalers specifically.
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So Microsoft, Google, and Amazon.
Ejaaz:
And it's a really good business. And I think the profit margins for all of the
Ejaaz:
revenue that they're bringing in is incredibly impressive.
Ejaaz:
Moving on, there's a few more companies that we covered in the episode yesterday, but TLDR is Samsung.
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That little memory company where their stock is dumping is doing extremely well.
Ejaaz:
They're signing a lot of LTAs, which are long-term agreements with future customers.
Ejaaz:
So they're locking it in until like, I think, 2028. So 2027's memory supply
Ejaaz:
might already be accounted for.
Ejaaz:
And then we have Intel. Josh, you know, you just spoke about agents.
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Intel provides the number one bit of infrastructure to help those agents do
Ejaaz:
their thing called CPUs.
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Intel and AMD, I don't know when AMD's earnings is coming out.
Ejaaz:
Has done really well and they had a banging quarter.
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So the TLDR is these companies have reported amazing revenue earnings.
Ejaaz:
Their profit margins are going up because of AI, but the stocks are kind of
Ejaaz:
like very volatile, except for the one company that is not doing anything in
Ejaaz:
AI right now that just became the number one most valuable company in the world.
Ejaaz:
We're talking about Apple. Congratulations to Apple. Who's gone on a historic run. Yep.
Josh:
Yeah, I mean, Apple, they deserve this, honestly. Siri is going to be incredible.
Josh:
They're going to have two amazing devices with the iPhone Fold,
Josh:
the iPhone 19, or whatever number we're at now.
Josh:
They're in such a great position for running local inference on machines,
Josh:
and I think people are recognizing that.
Josh:
So I expect to see a lot more coming down the pipe from Apple.
Josh:
I mean, congrats to Apple. This is great news.
Josh:
We also have Kimi K3, as we round up this rapid fire section,
Josh:
who released their open source weights. And remember, we get excited about running
Josh:
open source models at home. Well, it turns out it costs a little bit more than you think it might.
Josh:
It looks like it might cost about, what? $35,000 a month.
Ejaaz:
Dude, it costs like a million dollars per year. It's crazy.
Josh:
No, no, no, no, no, no, no. Half a million dollars. Half a million dollars.
Ejaaz:
One time.
Josh:
So only like, yeah. So maybe twice as many people can do that as a one-time
Josh:
purchase. But yeah, Kimi is expensive. that these model weights are ginormous.
Josh:
But it is open source at least. So hey, if you got half a million dollars laying
Josh:
around, you want to play with it. This would be your time to do it.
Ejaaz:
And that is it. You are all caught up for the week on AI.
Ejaaz:
Let us know if you've missed anything in the comments. But wherever you're listening,
Ejaaz:
if you're listening to us on YouTube, Spotify, Apple, subscribe, leave us a comment.
Ejaaz:
Make sure you give us an amazing rating. I think we're a pretty good show personally.
Ejaaz:
And we have a newsletter that goes out twice a week. Definitely subscribe to
Ejaaz:
that. And Josh, is there any final comments that we want before the week?
Josh:
Share it with your friends. Let them know how much you love the show.
Josh:
If you think they might be interested, go touch some grass for this weekend
Josh:
because you are now fully caught up on all things AI and investing in frontier
Josh:
technology and all the good things.
Josh:
So have an amazing weekend and we will see you all when we come back next week.