Kevin Wei (is in DC)

The Argument Verified account @TheArgumentMag · 2d

What happens when AI becomes capable of building the next, more powerful version of itself?

The Argument’s @KelseyTuoc and @JerusalemDemsas attended a briefing at Anthropic's San Francisco headquarters, where researchers shared how rapidly Claude is improving and what that could mean for humanity's future.

Anthropic wants to avoid a world where humans lose control of AI. But, as Kelsey writes, its plan for preventing that looks more like hope and guesswork than something we should trust it with.

Read Kelsey Piper's full piece: theargumentmag.com/p/what-i-saw-i…

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alex lawsen Verified account @lxrjl · 3d

Antitrust risk as a barrier to co-ordinating for safety doesn't seem entirely made up.

But it's also hard to take "yeah legal risk is a major blocker" all *that* seriously from the people who brought you "train on the entire internet and eat the fines"

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Calder McHugh Verified account @calder_mchugh · 3d

NEWS: @GovKathyHochul is launching an effort to independently test AI systems via state govt. and train a new generation of AI safety researchers via a public-private partnership announced earlier this year. The initiative is set to be led by Profs. Jeannette Wing and Greg Morrisett: politico.com/news/2026/11/1…

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Scott Singer Verified account @Scott_R_Singer · 3d

Today, I'm delighted to share our report: Trust but Verify: Implementing Frontier AI Policy in California and Beyond.

Governing advanced AI is hard. Policymakers face an evidence dilemma: AI evolves so quickly that responding prematurely risks entrenching ineffective policies, while delaying action could leave society vulnerable to serious risks.

With no federal legislation focused on frontier AI safety, California is shaping frontier AI governance nationally. But passing legislation is only the first step. Whether California's approach succeeds depends on how it is implemented.

That's why, shortly after SB 53 passed, Carnegie assembled 13 world-leading experts to examine the most consequential implementation choices, identify issues for future legislation, and provide a blueprint for other jurisdictions.

"Trust but verify" AI governance approaches are dynamic by design: they allow governments to generate more evidence on AI capabilities and risks to inform what comes next. SB 53 was always supposed to be the first, not final, step in frontier AI policy. Assessing its strengths and weaknesses can clarify where frontier AI policy should come after—in California and elsewhere.

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