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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

239,725 views • 4 days ago •via X (Twitter)

25 Comments

Leopold Stock Tracker's profile picture
Leopold Stock Tracker4 days ago

His fund would be on a heater if not for leverage

DpkkpD's profile picture
DpkkpD4 days ago

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

Biff McTannen's profile picture
Biff McTannen4 days ago

Doesn’t his wife work for Anthropic?

Perseus's profile picture
Perseus3 days ago

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

Jeheskiel Sunloy's profile picture
Jeheskiel Sunloy4 days ago

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

Armani Otto's profile picture
Armani Otto3 days ago

Put leo in jail. ..

miura shota's profile picture
miura shota4 days ago

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

The AI Therapist's profile picture
The AI Therapist4 days ago

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

CryptoNinjas's profile picture
CryptoNinjas4 days ago

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

JonRods's profile picture
JonRods4 days ago

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.

Fidel's profile picture
Fidel3 days ago

Where can I watch the full thing

scooby institute's profile picture
scooby institute3 days ago

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

Jeremy Bond's profile picture
Jeremy Bond3 days ago

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

Macro Bombastic's profile picture
Macro Bombastic4 days ago

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

Michael Waitze's profile picture
Michael Waitze4 days ago

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

Be Divergent's profile picture
Be Divergent3 days ago

Love that nerd Leo 🤓

Patrick Sherman's profile picture
Patrick Sherman2 days ago

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

Whale Alpha's profile picture
Whale Alpha4 days ago

I agree

Finance Wisdom's profile picture
Finance Wisdom4 days ago

Safety reports matter; leaking them undermines accountability and trust.

Ana Watson's profile picture
Ana Watson3 days ago

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.

notgwapo's profile picture
notgwapo3 days ago

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

Anonymous MAGA's profile picture
Anonymous MAGA4 days ago

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

Danjs's profile picture
Danjs3 days ago

Turn them all off

Jimmy Kroger's profile picture
Jimmy Kroger3 days ago

Imagine knowing all that and still blow up your fund

Sophie c.'s profile picture
Sophie c.2 days ago

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!

Milk Road AI

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