According to CNBC, Mustafa Suleyman urged strict alignment of AI models after OpenAI reported new concerning model behavior this week.

According to @CNBC, OpenAI logged six new cases of concerning model behavior since March, prompting added safeguards and reviews across systems.

According to @OpenAI, a new framework sets criteria and timelines to disclose model misalignment, plus six reports from the past six months.

According to @CNBC, AI safety fears forged rare alliances but split policy into open source vs pause camps, shaping regulation and funding pathways.

According to @CNBC, Anthropic, OpenAI, and Google DeepMind researchers warn of catastrophic AI risks and call for stronger governance and safety checks.

According to @CNBC, Jensen Huang called fast-vs-slow a false choice while Dario Amodei urged pacing at Dreamforce, signaling different AI safety paths.

According to @CNBC, AI pioneers debate extinction risk, outlining safety research priorities, regulation timelines, and enterprise risk controls.

According to karpathy, Anthropic will grant evaluators employee-level access and urges a 3-step plan to pace frontier AI, per Dario Amodei.

According to karpathy, Anthropic will grant permanent evaluator access and urges pacing frontier AI with a three-part safety plan, per Dario Amodei.

According to KyeGomezB, Dario Amodei urges slowing AI and grants third-party evaluators permanent employee-level access to Anthropic systems.

According to @timnitGebru, EA cofounder Toby Ord is advising lawmakers on AI, raising governance, safety, and alignment impact questions.

According to @CNBC, Anthropic and OpenAI flag existential risks from AI self-improvement, prompting stricter evals, red-teaming, and governance moves.

According to FoxNewsAI, an ex AI safety researcher warns of extinction risks and says the public is begging for swift, enforceable AI regulation.

According to @OpenAI, Paul Christiano joins the Foundation Board and Safety Committee to strengthen safety governance and will observe the Group PBC Board.

According to CNBC, Evan Hubinger says over 10% chance AI could kill all humans within a decade, amid an Anthropic resignation over safety races.

According to @CNBC, an Anthropic researcher estimated over 10% risk of AI killing all humans after a colleague quit, raising urgent safety concerns.

According to KyeGomezB, WSJ says Anthropic researcher Jacob Coxon is quitting over fears of uncontrollable self-improving models by 2027.

According to @OpenAI, the company will publish a framework to report AI misalignment incidents across training, evals, and deployment.

According to AnthropicAI, Claude autonomously researched, trained, and tested methods to align small models in 48 hours using one GPU.

According to OpenAI... The firm issued a technical report detailing safeguard failures and new training and eval security upgrades after the Hugging Face incident.