the most important thinker in AI, in my opinion, is this 23 year old. leo aschenbrenner.
he has been more right, both in a testable predictive sense and in a market sense than virtually anyone else.
and most importantly, he's not an AI doomer, he's not an e/acc, but rather a secret third thing.
leo was a reseacher on the openai superalignment team before he was fired in april 2024 (and before that, he worked at FTX of all places). in june 2024 he published an astonishing essay on AI called "Situational Awareness: The Decade Ahead"
in the 165-page essay (really, more of a book) he predicts that we will obtain recursively self-improving AI by 2027, leading to an intelligence implosion & AGI. he thinks AI will become a matter of national security and that the US has no choice but to beat China. he thinks we will have full-fledged agents in 2026. he thinks AI efforts will and should be nationalized. he thinks we will build trillion-dollar datacenters before the decade is out. he thinks AI will use 20%+ of US electricity by 2030.
a lot of his analysis is based on simply extrapolating straight lines into the future (compute, FLOPs, model capabilities). the thing is, this has totally held up.
daniel reeves in this post analyzes leo's predictions and finds that even though we are only 1 year in to his "decade-ahead" timeline, his predictions are holding up so far.
in the last year, AI CAPEX has dramatically expanded. Stargate is a $500b planned project. halfway there on its own.
Leo thought AI CapEx might reach 3% of GDP. hyperscaler CapEx jumped from $239b in 2024 to $368b according to GS and projected at $432b in '26.
according to reeves' book review 1 year on, it looks like leo is mostly hitting the mark.
as a sidenote, one reason I really like Leo is because he maintains a kind of "pragmatic cautious optimism" around AI. he thinks it's a civilizationally important project and a matter of urgent national security. he thinks AGI and maybe ASI is possible, but he isn't a doomer. in fact, he's helping bring this future about (more on this later).
most "AI futurists" in silicon valley are doomers, unfortunately. they unhelpfully think AI is going to literally kill us all. I'm not going to try to "debunk" the doomer mentality here but I think it's far fetched and more of a spiritual/metaphysical position than an empirical one. (secular doomsday cults are the main thrust of religion-without-religion these days, whether climate or now AI.) the doomers also don't really have good suggestions for dealing with the apocalypse they foresee. they just want us to collectively stop building AI, or something. this isn't a very practical suggestion but they are very good at making noise, so they get disproportionate attention. there's a very big market for prophecies of doom and these people take advantage of that.
the second camp is the skeptics mainly found on the left that intone things like "AI is just a stochastic parrot" camp which we can trivially dismiss since they are just obviously wrong. these people tend to think all tech and markets are bad and wrong and think AI is a bubble. not much to say here, they are just wrong.
the other major camp is the e/accs that are kind of the inverse of the doomers; they want to push forward AI no matter what as a kind of political statement. they tend to be a little cavalier with regards to genuine AI safety risks and seem more motivated by owning the libs.
the last camp is simply the people building AI that have a strong economic incentive to downplay the risks. Leo isn't in this camp either. he's sanguine about the risks and the fact that this technology deserves a sort of manhattan project of its own. our ability to deal with it IS existential and he acknowledges that.
daniel reeves describes Leo's philosophy as "AGI realism" and it's the same camp that I subscribe to (even after reading every piece of doomer literature ever written).
/ resume thread
so after writing his manifesto, Leo didn't rest on his laurels. he raised approx $1b for a hedge fund focused on AGI-associated bets in H2 2024.
he made bets on chip manufacturers (intel), datacenter-related businesses (broadcom, applied digital), neoclouds (core weave, iris energy, core sci), and utilities (vistra, talen energy, eqt corp)
he refused to be shaken out by the "deepseek" moment that terrified a lot of AI investors in early 2025
he printed a 47% return in the first half of the year
notably, he had a huge intel call position in the fund. intel, ordinarily a sleep stock, skyrocketed in september when it emerged that the US government would take a stake in the company.
some of his other positions absolutely printed:
- IREN: 6x YTD
- CRWV: 3.5x YTD
- APLD: 4.3x YTD
we don't specifically know his returns since we are guessing based on his 13Fs and Intel strike prices, but I would guess his AUM is well over $2b today, and I believe he is up over 100% in 2025 so far. most likely one of the best performing HFs on the planet this year, especially the scale he's operating at.
what I like about Leo is he's doing everything in public. he wrote down his view, and then with no money management expertise, raised a fund, and put capital behind his convictions. compare this with the "AI bubble" callers. how many of them are actually net short AI? how many raised a fund to short AI? I can't name one. writing down your views is one thing, but putting you entire net worth and staking your entire reputation on the trade is another.
it was "obvious" at the time that post ChatGPT release in nov 2022 that AI would be a huge theme, but how many people actually acted on this?
personally, I have a huge concentrated position in one of the names in his fund, and knowing that Leo was in the trade helped give me the conviction to stay in it, even as the market tried to shake me out (deepseek moment, census data etc). I also picked up IREN and APLD after seeing them in his 13F filings.
sometimes in your career you just have to get one big thing very right and then apply the right amount of leverage to that idea. Leo is one of the best examples of this we've seen in some time.
we'll see if he can keep up his blistering pace but either way, it's one of the most interesting stories in money management I've come across in some time and I'll be watching carefully.
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agreed. it can be fixed sans soft fork for anyone that's live on the network, but old/abandoned coins in vulnerable addresses (p2pk, reused p2pkh) are at risk. no easy way to fix. some quantum timelines have a break by 2030.
and yes bitcoin is more vulnerable than other systems that rely on cryptography, because they can be upgraded to post quantum encryption whereas there's millions of coins in old addresses (assumed lost/inactive owners) which are fundamentally at risk.
basically you have to make your peace with the fact that there's a 2-6m BTC (aka $200b-600b) prize waiting to be claimed by the first entity to achieve quantum supremacy. the other alternative is getting everyone to agree to pre-emptively burn/steal the coins which is unpalatable
unfortunately the yale academics are at it again and are trying to gaslight everyone into thinking that debanking crypto didn't happen. it did, everyone dealt with it, everyone knows it, and the evidence is excruciatingly clear. full treatment soon
1. Steven points out that Coinbase has banking. Yes. They actually have had struggles with banking and are only really around today because a16z had to intervene to ensure they had bank access prior to 2020 when they landed the JPM relationship. One of the reasons Coinbase emerged as the winner in the US is precisely because they had better bank relationships than others. It proves our point that banking is a weird thing that determines winners and losers in crypto, and it shouldn't be that way.
But that's not really what we're complaining about. Coinbase is the largest and most credible crypto firm in the US, they are publicly traded. Obviously they're able to get banking. It's everyone else that has suffered. Especially startups, who aren't able to easily make the case that they are a valuable relationship to a bank that's already leery of banking crypto / facing pressure from regulators. Coinbase being adequately banked is largely irrelevant.
2. Steven says the FDIC showed favoritism to crypto banks SVB and SBNY by making depositors whole. This is silly. First of all, there was a massive regional banking crisis going on, and the FDIC had to step in to stop the run. SVB in particular was systemic to US tech and startups. They had to be saved or most of the dynamism in our tech sector would have evaporated overnight. Saving them was the right decision. They also only had one (1) crypto client, Circle.
SBNY are a different story. They had more crypto clients. But they were not shown favoritism. Arguably, they were executed for serving crypto. That's what the board member Barney Frank alleges. They were sent into receivership on a sunday night without being given a chance to raise capital and save themselves. Also, when they were sold to Flagstar, all their crypto related deposits and IP (Signet) were stripped out. The resolution of SBNY shows no preference towards crypto, only animosity. The refusal to transfer the crypto business was one of the most obvious signs in early 2023 that something was amiss.
Deepseek has completely upended the conventional wisdom around AI
- China will only do closed source / proprietary
- Silicon Valley is the global nexus of AI development, has a huge headstart
- OpenAI has an unbeatable moat
- you need to spend tens, maybe hundreds of billions for SOTA model development
- value will accrete to the models (fat model hypothesis)
- scaling hypothesis means model performance is a ~linear function of training inputs costs (compute, data, GPUs)
All these narratives, shaken if not completely undermined overnight. Stay frosty
All of that said, I don’t worry too too much about equity value in NVIDIA/AI datacenter companies (although I have massive bag bias here, am invested in several of the largest AI datacenters cos). Why? When a commodity gets cheaper, and it looks like even disregarding DS’ claims around training costs, factually speaking inference costs are down by a factor of 30 compared with OAI SOTA model, the use of that commodity increases. This is jevons’ paradox. So inference overnight became vastly more abundant. DS’ innovations will be rapidly incorporated by other model cos. So AI can be embedded cheaply everywhere. This probably shifts the ratio of training to inference in AI Capex in favor of the latter but I don’t believe it undermines equity value in the firms that produce the inputs for inference - GPUs, datacenters, etc. Just accelerates the transition from pre AI world to fully embedded world.
All of that said, the investor premise that the model cos - OAI, Anthropic etc - are where equity value will accrete has a massive hole in it now. I always felt and have said that I thought model cos would be capital incinerators due to high quality open source models and a race to the bottom, and I think that is more true now. But overall I don’t worry about the rest of the stack, whether it’s the producers (NVDA, datacenters) or the firms (mag7) that are actually bundling up compute and selling it to the end user in the form of better consumer experiences.
TLDR- for most of you no need to panic. Although I think it will take the market some time to digest and the ride will be bumpy in the near term.
Receipts on me thinking fat model hypothesis is bad / model cos as capital incinerators
Thanks to @iampaulgrewal and the rest of the team at Coinbase, the FDIC has now been compelled to further un-redact their "pause letters" to banks during 2022-23. We know know what the FDIC was asking banks not to do (thread)
For an introduction on what the pause letters were all about and the context, see this thread:
I've summarized the new batch of pause letters here. When I add 'suspected' that's me guessing what bank or product the redactions pertain to. Credit to @john_iller for making the USDF connection.
Longer thread on the FDIC’s 2022-23 “pause letters” to banks regarding crypto-asset activities in 2022 and 2023. Strap in
So we all know that banks have been stymied from doing crypto stuff for years: regulators installed 15% deposit caps on fiat deposits from crypto firms, cutting off bank access for the whole industry; the SEC used SAB121 to stop banks custodying crypto; and the Fed effectively prohibited banks from doing stablecoin stuff. But maybe the worst and most brazen was the FDIC unilaterally barring banks from doing any crypto stuff at all…
So recently, Coinbase made FOIA requests to the FDIC regarding their guidance to banks on crypto matters. Last month, the FDIC published summaries of these letters, without saying what they said exactly, or which banks they were addressed to. assets.ctfassets.net/c5bd0wqjc7v0/7…
@pmarca Pmarca claims debanking is targeting crypto founders, fintech founders, and conservatives. He says the CFPI and other financial regulators are responsible. Lee Fang and others say the CFPI is anti-debanking. Who is right?