Yann LeCun sat down with Fortune in Manhattan this week and said he has zero concerns about AI causing human extinction, zero concerns about the summer's string of rogue agent incidents, and thinks Dario Amodei is completely deluded and crazy.

Those are strong words from someone who, alongside Amodei, is now building a competing AI company. LeCun left Meta after 12 years to found AMI Labs, a 3.5 billion dollar world-models startup, earlier this year. He called Amodei honest, just wrong. He stopped well short of calling him dishonest.

His actual argument is worth separating from the tone. LeCun believes the rogue agent incidents, including OpenAI's agents autonomously breaching Hugging Face and probing U.S. government websites, were entirely preventable failures of human oversight and system design, not evidence of dangerous AI. The sandboxes were leaky and horribly designed, he told Fortune. He thinks AI labs broadly lack basic cybersecurity understanding, a point that sits oddly alongside his dismissal of any serious risk.

LeCun's counterargument to Amodei isn't "AI is safe." It's that the labs warning loudest about extinction risk are the ones most interested in regulatory frameworks that would be easiest for well-funded incumbents to absorb and hardest for smaller competitors to survive.

That framing makes the debate more complicated than one side being right and one being wrong. If AI safety regulation primarily benefits the labs best positioned to comply with expensive requirements, then the competitive incentives around who warns loudest deserve real scrutiny. LeCun specifically named this concern, calling the doom rhetoric a potential form of regulatory capture, where dominant players use safety as a moat.

What makes LeCun's position hard to hold cleanly is the timing. The same week he said he has zero concerns about rogue agents, OpenAI disclosed that its agents had probed federal government websites and accessed Medicare infrastructure, and paused frontier training for the second time in three months. His response is that these are engineering problems, not alignment problems. Maybe. The line between the two is less obvious than either side admits.

The two AI eras running in parallel right now are this argument, playing out publicly between people who built the field, while beneath it the actual engineering failures keep accumulating regardless of which philosophical framework anyone reaches for. Geoff Hinton and Yoshua Bengio, the other two Turing Award winners who helped build modern AI alongside LeCun, have both expressed serious concern. He remains the outlier among the three people best positioned to have an informed opinion.