Public disputes concerning artificial intelligence, including its development, uses, safety, governance, effects on creative work, and role in research.
Jacob Coxon resigned from Anthropic and said that Anthropic and OpenAI are acting irresponsibly by racing toward self-improving superintelligence. In a fuller interview, he praised Anthropic's current practices and denied that it was already cutting corners; his criticism concerns the competitive race and the pressures he expects it to create. Responses dispute the evidence and timing of catastrophic-risk forecasts, whether continued work inside AI labs can be justified, and whether governments should pause development or regulate its continuation. The record distinguishes these disagreements from arguments about the rhetoric of public warnings.
Tristan Buckmaster describes pressure over authorship and publication during discussions about competing AI-assisted mathematics results. Sébastien Bubeck disputes that characterization and says the proposed authorship concerned OpenAI's own proof. His apology for career-related wording does not settle the disagreement. Researchers and commentators divide over whether the negotiations were appropriate, while raising a separate dispute about the treatment of unpublished user research.
Bandcamp removed Boy George’s “We Will Dance Again” under a policy barring music generated wholly or substantially by AI. Boy George had disclosed using AI but said he wrote the lyrics and melody, treated AI as a collaborator, and remained the song’s author. He challenged the platform’s ability to detect and consistently police AI music. Bandcamp cited its preexisting AI rule. Boy George also alleged that political objections to the song’s pro-Israel message prompted the removal; the available record does not establish that motive.
Role at the time: Mathematician involved in the research-credit dispute, posting on Mastodon
Condemned
Responding to
Did OpenAI improperly pressure mathematicians over authorship and credit?
"This below is absolute academic malpractice:"
Why we used this label
Buckmaster directly alleges improper academic conduct in the research narrative. His training-data concern remains an allegation, not an established finding.
Anthropic says it has paused or altered some high-risk evaluations and training environments, prioritizes safety over speed within the company, and supports a lawful, verifiable coordinated pacing mechanism across the industry.
"“Within a company, pacing means a series of decisions that prioritize safety over speed when the two are in tension.”"
Why we used this label
Pre-existing explanation and defense of company safety measures, published before Coxon's resignation; not a direct rebuttal to him.
In its June 4 announcement, Anthropic said internal data showed AI accelerating AI development, described a possible path to recursive self-improvement, and said the change was happening faster than it had expected.
"It’s happening faster than we thought, and the implications deserve greater attention."
Why we used this label
Pre-existing institutional acknowledgment of a possible future transition and its significance; not a direct response or defense against Coxon.
Computer scientist, Catalyst Professor of Computer Science at Harvard University, and member of the technical staff at OpenAI whose work includes machine learning foundations and AI safety.
Professor of economics at Yale School of Management whose research spans public finance, behavioral economics, health economics, and industrial organization.
General counsel at Encode, where he leads legal strategy on artificial intelligence governance; formerly worked at the Center for AI Safety Action Fund and the U.S. Senate Judiciary Committee.
