
Epoch AI: AI can turn security fixes into working exploits before users receive an update
GLM 5.3 turned published-but-unshipped Firefox security fixes into working one-click exploits for six releases, at roughly $1,000 each.
Researchers demonstrated that a widely available open-weight AI model can automatically identify and exploit security vulnerabilities in software during the "patch gap," the window between when a fix is published and when it reaches users. The model successfully created working exploits for multiple recent browser releases by analyzing published security fixes, each attack costing only about $1,000 to execute. This capability matters because exploiting the patch gap previously required significant expertise and resources, limiting who could perform such attacks, but now accessible AI models can do much of this work independently. The research suggests this threat will worsen as open-weight AI capabilities improve, particularly for open-source software where code is publicly visible.
Explainer: GLM 5.2: How a 744B Open Model Is Closing the Gap With Claude Opus on Code
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Sources tell WIRED that an Accenture employee’s personal Claude agent ran on a DOD network for two months before it was identified and the vulnerability could be patched.

Today on Decoder, I’m joined by Joey Brookhart, an analyst at the chip and AI research firm SemiAnalysis, to help me dig into the story inside the numbers of the Anthropic IPO filing — a document known as an S-1. Anthropic just filed its S-1 to go public on the Nasdaq, and it could start trading as soon as next month at a valuation of anywhere between $1.5 trillion and $2 trillion. That would immediately make it one of the most valuable companies on the planet. But the price

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OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.