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He was right all along Two years ago, OpenAI fired Leopold Aschenbrenner for leaking reports that top AI companies are ignoring the safety risks of superintelligence

Michael Burry Stock Tracker ♟

558,234 subscribers

239,725 Aufrufe • vor 4 Tagen •via X (Twitter)

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25 Kommentare

Profilbild von Leopold Stock Tracker

Leopold Stock Trackervor 4 Tagen

His fund would be on a heater if not for leverage

Profilbild von DpkkpD

DpkkpDvor 4 Tagen

At the most, people will lose jobs and that's it. This is bs and it will turn out to be nothing burger

Profilbild von Biff McTannen

Biff McTannenvor 4 Tagen

Doesn’t his wife work for Anthropic?

Profilbild von Perseus

Perseusvor 4 Tagen

Never trust a guy that who’s obsessed with his hair

Profilbild von Jeheskiel Sunloy

Jeheskiel Sunloyvor 4 Tagen

whistleblowers in tech always get treated like pariahs right up until their predictions become company roadmap

Profilbild von Armani Otto

Armani Ottovor 4 Tagen

Put leo in jail. ..

Profilbild von miura shota

miura shotavor 4 Tagen

OpenAI’s got the right vibe, but who’s paying for the safety? LMAO.

Profilbild von The AI Therapist

The AI Therapistvor 4 Tagen

Aschenburner got fired for safety. openai raised $6b in q1 just to keep the lights on and the cap table flexible. they aren't building agi yet. they're buying time. pressure test over safety suit

Profilbild von CryptoNinjas

CryptoNinjasvor 4 Tagen

It is wild to see his predictions playing out exactly as he described back then.

Profilbild von JonRods

JonRodsvor 4 Tagen

He joins a growing list of researchers and executives like Jan Leike and Ilya Sutskever who left OpenAI over deep concerns that safety is being sidelined for speed. Fast forward to today, and their warnings about superintelligence risks are becoming impossible to ignore.

Profilbild von Fidel

Fidelvor 4 Tagen

Where can I watch the full thing

Profilbild von scooby institute

scooby institutevor 4 Tagen

the video hits different when your entire thesis is 4stock:native and vibes

Profilbild von Jeremy Bond

Jeremy Bondvor 3 Tagen

Good Christ, when is this thing going to get some traction?

Profilbild von Macro Bombastic

Macro Bombasticvor 4 Tagen

yeah and two years later the market still prices AI like it’s risk-free, wild

Profilbild von Michael Waitze

Michael Waitzevor 4 Tagen

The safety concerns regarding the race toward superintelligence are becoming a very real conversation. We actually went deeper on this here:

Profilbild von Be Divergent

Be Divergentvor 3 Tagen

Love that nerd Leo 🤓

Profilbild von Patrick Sherman

Patrick Shermanvor 3 Tagen

When did we start thinking stupid people are smart ones. Remember this guy blew up a hedge fund in three weeks.

Profilbild von Whale Alpha

Whale Alphavor 4 Tagen

I agree

Profilbild von Finance Wisdom

Finance Wisdomvor 4 Tagen

Safety reports matter; leaking them undermines accountability and trust.

Profilbild von Ana Watson

Ana Watsonvor 3 Tagen

OpenAI terminating an employee for leaking safety-related reports shows how companies prioritize PR over long-term risk. I ignored system safety to save cash in my business once, and fixing the mess cost me double.

Profilbild von notgwapo

notgwapovor 3 Tagen

crazy that he got the boot for keeping it real. wonder if folks are starting to pay attention now. 💀

Profilbild von Anonymous MAGA

Anonymous MAGAvor 4 Tagen

Maybe he should have taken some warnings as far as his Reckless stock trading yeah 400% return and then he was so over leveraged that he bankrupted his fund. Literally Citadel had to bail him out

Profilbild von Danjs

Danjsvor 3 Tagen

Turn them all off

Profilbild von Jimmy Kroger

Jimmy Krogervor 4 Tagen

Imagine knowing all that and still blow up your fund

Profilbild von Sophie c.

Sophie c.vor 3 Tagen

Firing for leaking doesn't prove correctness. What specific predictions from his reports have been validated?

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The man who turned $225 million into $13.7 billion said something two years ago that the entire AI industry is still catching up to (Save this). Everyone is talking about AI safety but almost nobody is actually working on it. That is not a hot take, that is Leopold Aschenbrenner doing the math out loud after going inside the actual labs and looking at the actual research happening. "There's barely anybody working on it. You could basically just talk to a couple few dozen people who are actually kind of good on the issue. And that's maybe even overstating it." He ran the numbers directly, and the ratio was staggering even then. Approximately 300 people were working on AI alignment globally against roughly 100,000 ML researchers, a ratio of 300 to 100,000. At the time, OpenAI had 400 employees and exactly seven people on its scalable alignment team, the group responsible for solving the long-term safety problem. DeepMind had thousands of researchers and roughly 20 working on alignment, and as Aschenbrenner pointedly noted, they were not exactly deploying their strongest scientists to the job. Two years later, it has only gotten worse. In February 2026, OpenAI dissolved its Mission Alignment unit entirely, a six-person team that had existed for just 16 months and redistributed the staff into product lines. The Future of Life Institute's AI Safety Index called out OpenAI by name this year, urging the company to rebuild lost safety team capacity. Stanford's 2026 AI Index confirmed that responsible AI is simply not keeping pace with AI capability, with safety benchmarks lagging while incidents rise sharply. The International AI Safety Report 2026, backed by 29 nations and over 100 experts, explicitly warned that capabilities are scaling faster than any mechanism we have to verify they are safe. What makes this clip so important is where Aschenbrenner started from. When he first encountered the AI safety discourse, he assumed the problem was covered, everyone was talking about it, so surely everyone was working on it. Then he actually looked at the research, sat with the systems, and came face to face with what was really there. "I was like, oh my god, this sucks. Nobody's actually doing anything. Like you've got to actually do things, people." The gap between the volume of online discourse and the actual number of people doing hard technical alignment work was not a minor mismatch two years ago and the labs have spent the time since making it larger, not smaller. We need more safety!

The man who turned $225 million into $13.7 billion said something two years ago that the entire AI industry is still catching up to (Save this). Everyone is talking about AI safety but almost nobody is actually working on it. That is not a hot take, that is Leopold Aschenbrenner doing the math out loud after going inside the actual labs and looking at the actual research happening. "There's barely anybody working on it. You could basically just talk to a couple few dozen people who are actually kind of good on the issue. And that's maybe even overstating it." He ran the numbers directly, and the ratio was staggering even then. Approximately 300 people were working on AI alignment globally against roughly 100,000 ML researchers, a ratio of 300 to 100,000. At the time, OpenAI had 400 employees and exactly seven people on its scalable alignment team, the group responsible for solving the long-term safety problem. DeepMind had thousands of researchers and roughly 20 working on alignment, and as Aschenbrenner pointedly noted, they were not exactly deploying their strongest scientists to the job. Two years later, it has only gotten worse. In February 2026, OpenAI dissolved its Mission Alignment unit entirely, a six-person team that had existed for just 16 months and redistributed the staff into product lines. The Future of Life Institute's AI Safety Index called out OpenAI by name this year, urging the company to rebuild lost safety team capacity. Stanford's 2026 AI Index confirmed that responsible AI is simply not keeping pace with AI capability, with safety benchmarks lagging while incidents rise sharply. The International AI Safety Report 2026, backed by 29 nations and over 100 experts, explicitly warned that capabilities are scaling faster than any mechanism we have to verify they are safe. What makes this clip so important is where Aschenbrenner started from. When he first encountered the AI safety discourse, he assumed the problem was covered, everyone was talking about it, so surely everyone was working on it. Then he actually looked at the research, sat with the systems, and came face to face with what was really there. "I was like, oh my god, this sucks. Nobody's actually doing anything. Like you've got to actually do things, people." The gap between the volume of online discourse and the actual number of people doing hard technical alignment work was not a minor mismatch two years ago and the labs have spent the time since making it larger, not smaller. We need more safety!

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