Onur Sucu (@OnurES_) profile picture

building something new | prev data & ml @opensea @nansen_ai @mcgillu

London
Joined April 2018
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Ant will ipo, and surprise to the upside. most people have no idea how much unket demand there is for anthropic Also anthropic will continue to do well but it’s over for capex recipients
hearing some chatter that anthropic is now lowering down to $1tn to get this IPO done. let me explain why this doesnt matter and its actually all over- the entire existence of this company is based on a funding model that inherently has extreme asset liability mismatch. what that means is that just like the hyperscalers are diluting their equity fund capex, there is an expectation that anthropic will also have to do the same. ie it needs strong equity to perpetuate the scheme but if you IPO at the wrong price (and dont get a pop which increasingly appears they wont be; spacex already below) then youre now in the death spiral that crypto investors should be very familiar with: its called the reflexivity trap of the confidence game. its the "ill bid FTT at $22 all day" or the "steady lads UST is $1" game, with all its lucid horrors. and here is the key insight- the confidence game exists at the service of the creditors. if there is no credit, there is simply no equity. and there is no credit, if there is no collateral if the credit rating agencies are not going to give IG at $2tn, they are certaintly not going a better HY rating at $1tn. and there is no world in which anthropic can exist without credit because ~$1tn of commit, much of which is noncancellable, is a straight up negative equity pledge yet there were two scenarios in which i was willing to concede anthropic could IPO: first 1) the improbable but possible was if the hyperscalers/chips oligopoly came to rescue and plug the hole, given their incestuous nature of revenue bookings and paper gains/losses at scale. but it is clear now that the market has spoken this will lead to a mutual death, and should not be attempted. or perversely even better, they are actually better off letting anthropic go to zero so they can acquire the pieces on the cheap which is the best nash equilibrium outcome, not just for the dominant player but for society at large. second 2) the us government can nationalize the company and collude with other sovereigns (like UAE, Saudi, Japan who are basically already the checks) to force its funding as a collective bargain. this gives you trillions, which is actually the most effective backstop to restore market confidence. the first edge case does require an IPO, but the second edge case here for which i believe there is still a good chance that this is the ultimate end game- will require a failed IPO to recapitalize at a normalized price for the consortium (and dont forget that openai front ran this investor group in anticipation of this dynamic to play out as a private co last month) i believe the market is crapping out today because the market is recognizing it will not IPO. and actually, as ive said before, this is a very good thing. i might even imagine that the market could quickly rebound on the news of its IPO being delayed because it allows #2) to play out, as not only a national, but an international bailout. the US is more likely to tolerate, even relish, the taxes of foreginers to fund our domestic companies. that is the only end game that really matters, and the end game i am going to be excited to see we'll see if this newly revamped washington can figure it out
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Ok first serious tweet. On building "Binance, but decentralized."
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You know that they can build data centers elsewhere, right?
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keyword is forward
What the actual f*** Forward P/E: $SNDK 2.86x $SKHY 3.19x $MU 3.20x
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second derivative only declines from here you still can make a bull case for hyperscalers as their fcf will increase but they may also go down with rest of the market
we’re past peak earnings acceleration for capex recipients i think the ai trade continues, but going forward sellers of compute will do especially well because installed compute will become increasingly valuable and xpu prices will rise dramatically hyperscaler supercycle
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all i can think of is the amazing discounts we will get in 2027 hope you took profits on the way up when random bottleneck trades were going up 2x every month crypto has trained us well for these environments
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Onur Sucu retweeted
human-in-the-loop └ human-on-the-loop └ human-near-the-loop └ human-cc'd-on-the-loop └ human-legally-liable-for-the-loop
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Onur Sucu retweeted
see you in 2027
we’re past peak earnings acceleration for capex recipients i think the ai trade continues, but going forward sellers of compute will do especially well because installed compute will become increasingly valuable and xpu prices will rise dramatically hyperscaler supercycle
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who could have guessed it
Papertrade’s model makes absolutely no sense and it was always gonna die but i didn’t expect it to die this quickly OHM lasted for months in 2021 tells you all about the new market we’re in
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His first tweet btw. Hyperliquid Tradexyz
I am excited to be an investor in trade(xyz) as they partner with ICE to bring 24/7 perpetual futures on Hyperliquid to the United States. As a market participant, I am looking forward to to using their innovative product to enhance my investment process.
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Wake up. Every profession deemed white-collar, the middle class dream, is about to be decimated by AI, at a much faster pace than anticipated, with monstrous social consequences.
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Onur Sucu retweeted
Papertrade’s model makes absolutely no sense and it was always gonna die but i didn’t expect it to die this quickly OHM lasted for months in 2021 tells you all about the new market we’re in
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who is gonna pay for all this?
SemiAnalysis's Dylan Patel predicts OpenAI and Anthropic could reach $600–700 billion in combined revenue by December 2027--and raises the possibility of $1.5 trillion by year-end “As far as AI’s impact on the U.S. economy, if AI revenue is only $3 trillion in 2031, then, yeah, we’ll have big problems. “But I’m of the belief that we can get to $600 billion or $700 billion across OpenAI and Anthropic alone by December of next year. “I’m of the opinion that you can get to $1.5 trillion, maybe even by the end of 2027, with just those two companies. So that’s the end of 2027. Then the payback is clear, right? You know, where they’re getting that from. “Ultimately, the capacity that people are building out is matched to what they think business is coming to. There’s always going to be a mismatch, if we’re in the building phase, between how much infrastructure you’re spending on and the AI revenue, because today’s AI revenue is really based on the infrastructure you spent on in prior years.”
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Onur Sucu retweeted
It’s not a bad place to derisk a bit
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see you in 2027
we’re past peak earnings acceleration for capex recipients i think the ai trade continues, but going forward sellers of compute will do especially well because installed compute will become increasingly valuable and xpu prices will rise dramatically hyperscaler supercycle
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SHARES OF AI INFRASTRUCTURE FIRMS CORWEAVE AND NEBIUS DROP; STEEPEST DECLINERS ON NASDAQ 100 INDEX $CRWV - COREWEAVE DOWN 14.9% $NBIS - NEBIUS FALLS 9.7%
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Onur Sucu retweeted
it wasn’t. still not a bad place
It’s not a bad place to derisk a bit
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My best guess is that Anthropic's total "binding" infrastructure-related commitments translate into $56B of compute spend in 2027 and $86B in 2028.
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Onur Sucu retweeted
Dario turned out to be right. Maybe even a little cautious. But look at the comments. All so very convinced that they knew more and better, and what an idiot he was.
"Software Engineering Will Be Automatable in 12 Months," Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most, maybe all' of what software engineers do end-to-end within 6 to 12 months, shifting engineers to editors.
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so he was right. it would funny if he is right on some other things too
"Software Engineering Will Be Automatable in 12 Months," Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most, maybe all' of what software engineers do end-to-end within 6 to 12 months, shifting engineers to editors.
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