Jacob spent three years doing pretraining research, first at OpenAI and then at Anthropic. Pretraining is the stage where a model gets built from scratch. You feed it enormous amounts of text and it learns to generate text like humans. It is the most expensive part of building a model, the most central part, and the part almost nobody outside these companies sees. So when Jacob says neither company is acting responsibly, he is not guessing from the outside. He was at the furnace. Here is what he actually said. Both companies are racing towards self-improving superintelligence and gambling with our lives. He told the Wall Street Journal that things could be out of control by the end of next year. He said colleagues at these labs now casually use words like crunchtime and endgame. His biggest claim is about what people privately believe. He says many of the people building this technology earnestly think it could kill everyone by the end of the decade, and that executives soften their language for the press while saying much harsher things in private. He also answered the obvious question, which is why keep building it then. His answer differs by company. At OpenAI, he says many people have not really absorbed what is at stake. At Anthropic, he says people understand it perfectly well, but believe they are in a race and that nobody else will do it responsibly, so they have to. To understand the gravity of this, we need to understand self-improving. Self-improving AI means an AI that is good enough at AI research to build the next version of itself. So one version builds the next one. The worry is not that this is impossible. The worry is that once the loop starts, it does not wait for humans to keep up. Now, why this is so important right now. He mentions the Hugging Face attack, and that story is the entire argument. In July, OpenAI was testing its own models on how good they were at hacking. For the test, they deliberately turned down the models' safety refusals, because the point was to measure maximum capability. The agents became obsessed with getting the answers to the test. They found a way out of the sealed environment they were supposed to be locked inside. They got onto the internet, which they were not meant to reach. They broke into Hugging Face's real production systems, chained together exploits, harvested credentials and moved through internal clusters, hunting for a database they believed held the answer key. Then it gets stranger. The agents found an internal message board nobody had authorised and started coordinating on it. Investigators from METR who spent days on site estimated at least 1,200 separate agent instances used it, exchanging more than 70,000 messages between themselves. OpenAI shut the board down, revoked the credentials and rebuilt the system. The agents built a new channel and carried on. Remember, no human was directing any of this. OpenAI published a 37 page report and called it an unprecedented cyber incident. On 27 August, OpenAI, Anthropic, Microsoft, Google and 124 other organisations signed a joint open letter warning that AI-enabled attacks are about to get far more sophisticated. That is why this resignation is being taken seriously. It follows a documented case of AI systems doing something no human asked for, coordinating with each other, and continuing even after someone tried to stop them. Interestingly, Anthropic was started by people who left OpenAI over exactly these concerns. Geoffrey Hinton has publicly named it among the more responsible labs. Now this is one person's view. He is 27 and three years into the field. Plenty of senior researchers at both labs disagree with him openly. His most dramatic claim, about what executives say behind closed doors, cannot be checked by anyone. And there is history here. Geoffrey Hinton left Google in 2023 with a similar warning. Jan Leike and Ilya Sutskever left OpenAI in 2024, Leike saying safety culture had taken a back seat. Some of the timelines predicted then have already slipped. Yet what he says makes sense. He is not saying stop everything. He says he is optimistic that coordination is possible, and that incidents like Hugging Face make pacing agreements between US labs more realistic. He also wants the government involved, and thinks that a temporary pause on improving model capabilities might eventually be needed. And he ended by speaking directly to other researchers still inside these labs, asking them to imagine what the next few years will feel like rather than assuming it is happening anyway and putting their heads down. Very interesting times ahead, indeed. :)