I have never used AI to generate an answer for HN but just this once I thought it would be good to hit ChatGPT specifically and ask it for 'a list of times Sam Altman has gone against his word.' Here was its response:
Shift from Nonprofit Mission to For-Profit Orientation – OpenAI was founded as a nonprofit with a charter focused on “benefit to humanity,” but under Altman it created a capped-profit subsidiary, accepted large investments (e.g., from Microsoft), and critics (including Elon Musk in a 2024 lawsuit) argue this departed from that original mission. A federal judge allowed Musk’s claim that Altman and OpenAI broke promises about nonprofit governance to proceed to trial.
Nonprofit Control Reorganization Drama (2023) – In November 2023, the original nonprofit board cited a lack of transparency and confidence in Altman’s candor as a reason for firing him. He was reinstated days later after investor and employee pressure, highlighting internal conflict over governance and communication.
Dust-Up Over Military Usage Policies – OpenAI initially had explicit public policies restricting AI use in “military and warfare” contexts, but those clauses were reportedly removed quietly in 2024, allowing the company to pursue Department of Defense contracts — a turnaround from earlier language that appeared to preclude such use.
Statements on Pentagon Deal vs. Prior Positioning – In early 2026, Altman publicly said OpenAI shared safety “red lines” (e.g., prohibiting mass surveillance and autonomous weapons) similar to some competitors, but hours later OpenAI signed a deal to deploy its models on classified military networks, leading critics to argue this contradicts earlier positioning on limits for military use.
Regulation Stance Shifts in Congressional Testimony – Altman has advocated for strong regulation of AI in some public settings but in later congressional hearings opposed specific regulatory requirements (like mandatory pre-deployment vetting), aligning more with industry concerns about overregulation — a shift in tone compared with earlier support of regulatory frameworks.