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On October 23, 2026, Sam Altman discussed OpenAI's internal systems and a speed limit on recursive self-improvement in a video. According to a report published in the early hours of that day, he revealed in the video that OpenAI's internal systems are already researching high-dimensional mathematics that public models cannot access, while external models are still learning to chat like humans. The report also said that what he publicly discussed included putting a physical speed-limit lock on recursive self-improvement, and he mentioned that the industry is generally piling up compute. The above statements about the internal systems' research direction and the speed-limit lock both come from that report's retelling; there is currently no cross-verification from other sources, and no follow-up developments.
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Oct 23
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Sam Altman Reveals Internal Systems Are Tackling High-Dimensional Mathematics
In a video, Sam Altman revealed that OpenAI's internal systems are already researching high-dimensional mathematics that the public models cannot access, while external models are still learning to chat like humans. The author believes that once models achieve a breakthrough in formal mathematics and long-chain logic, they will gain the ability to self-verify and self-modify. The author also points out that the industry is generally piling on compute, while those at the helm are publicly discussing installing a physical speed-limit lock on recursive self-improvement.