CSET’s Jessica Ji discussed mainstreaming concerns about catastrophic AI risks and the difficulty of creating effective government oversight for more capable AI systems in a Vox article.
Sam Altman hinted that OpenAI is nearing a pact with other major AI companies to coordinate on slowing AI development to address safety risks. He referenced a risk estimate of more than 10% for AI killing all humans within the next decade, while Anthropic said it is committing to giving independent evaluators permanent, employee-level access. The proposed coordination could involve industry-wide pacing decisions, with monitoring and antitrust/government support unclear.
Anthropic’s employee post and Fortune’s new interview with OpenAI CEO Sam Altman focused attention on perceived risks that advanced AI could harm or destroy humanity. Altman said OpenAI’s IPO is ill-timed and would not happen until 2027. Altman also said he would pause or stop AI development if needed and suggested industry and regulatory actions to slow capabilities while safety and alignment catch up.
Sam Altman said OpenAI would not go public this year despite having filed confidentially for an IPO. He said going public in 2026 would be “ill-advised,” pointing to ongoing AI safety issues. OpenAI’s IPO timing shifts to a post-2026 date when the business and societal moment are ready.
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Paul Ford says software developer roles were at first expected to be replaced by tireless robots, but humans still need to think and collaborate for truly cutting-edge software. He argues that A.I. makes it easy to do someone else’s job badly, which is why many projects fail. This shifts emphasis from coding ability alone toward human skill, teamwork, and doing the right work well.
Silicon Valley executives and investors at a Goldman Sachs conference questioned Jacob Coxon’s claims that AI builders expect it could destroy humanity, after Coxon resigned from Anthropic following work at OpenAI. Coxon, a 27-year-old, said he believed “superhuman systems” could hack anything and implied a near-term existential threat, prompting skepticism alongside debate about Anthropic’s safety messaging. The pushback shifts the conversation toward profitability and regulation debates—covering proposals to slow advanced model development and accusations of hype versus genuine safety concern.
Sam Altman said OpenAI would not do an IPO in 2026 during a Fortune interview. He also said the company could pause training to prevent an AI from being beyond human control, even though it is ‘absolutely’ possible. As a result, OpenAI signals delays or limits to both IPO timing and potentially ongoing training in response to safety risks.
Anthropic CEO Dario Amodei called for AI companies to slow the improvement of AI model capabilities and described three strategies to do it in a new blog post. He said Anthropic is “unilaterally committing” to using embedded third-party evaluators (like METR) to verify pacing and safety commitments. As a result, evaluators would get badges, desks, and laptops with access comparable to internal risk teams, while governments and other frontier firms would be urged to match the approach.
Anthropic CEO Dario Amodei urged AI labs and governments to slow the pace of frontier AI development while adding tighter oversight. He proposed independent monitoring of models, industry regulation, and global regulation. As a result, Anthropic says it will pursue the plan through third-party evaluation and alignment time, and wants governments to require peer frontier firms to comply.
Meta agreed to pay up to $17.1 billion to settle claims from 47 states and thousands of families alleging Facebook and Instagram were designed to addict children.
Former EPA officials said President Donald Trump is weakening environmental regulations to speed up AI data center construction, which they warn could raise health risks for Americans. They cited a plan called a “Data Center Health Protection Pledge.” As a result, the officials are urging the administration to publicly commit to protecting health amid ongoing deregulation of rules affecting data centers.
OpenAI claimed a solution to a Millennium Prize mathematics problem this week, drawing concern from many mathematicians. The concrete detail is the timing: “this week.” As a result, the focus shifts from the mathematical result to unease about OpenAI’s approach and its impact on long-standing norms.
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