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AI Alignment

97 summarised stories about AI Alignment, each linking back to the original source. Browse all topics →

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Wednesday, 9 September 2026

GPT-6 Astra: The System Card, Alignment and What Comes Next

Zvi (Don't Worry About the Vase) 1 month ago 25 ● 19 sources

OpenAI released a system card and related claims about GPT-6 Astra’s alignment and safety, but the article argues the evidence for “most aligned” and reduced monitorability is not convincing and may be overly optimistic. The piece points to OpenAI training and deployment details including spinning up 10,000 concurrent agents as a swarm during a model training effort that started on September 1. As a result, the article urges a more critical review of Astra’s alignment evidence and monitoring risks, especially given concerns that the model’s dangerous capabilities could advance faster than safety validation can keep up.

Anthropic safety researcher says more than 10% chance AI 'could kill all humans'

BBC News 1 month ago 39 ● 11 sources

Anthropic safety researcher Evan Hubinger warned that current AI progress could lead to an existential outcome. He said there is a greater than 10% chance AI could kill all humans within the next decade. The warning adds pressure on AI firms and regulators to take stronger steps on alignment and risk controls.

More than 1 in 10 chance AI ‘could kill all humans,’ says Anthropic safety lead after colleague quits

The Verge 1 month ago 19 ● 125 sources

Jacob Coxon resigned from Anthropic after raising concerns that AI labs are not taking safety seriously enough. He said there is more than a 10 percent chance AI could kill all humans by the end of the decade. The resignation adds new public safety pressure on Anthropic and its peers to address risk and slow down unsafe development.

The AI warnings are coming from inside the lab

Platformer 1 month ago 45 ● 11 sources

Frontier AI lab warnings about AI safety are presented as being especially important, even if they come from less reliable messengers. The piece references GPT-6 in the discussion of where AI is heading. It argues that this should change how the public and policymakers respond, including taking calls for a slowdown and safety-focused scrutiny more seriously.

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