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METR discloses two 2025 security incidents involving stolen API key and exposed endpoint

METR, a nonprofit that evaluates risks in frontier AI models, revealed it suffered two cybersecurity incidents this year. In March, attackers stole an API key used for public-model inference and used it for weeks to run up a large number of credits, while in May attackers unsuccessfully probed an exposed endpoint attempting to reach internal data.

Google pursues licensing deals with Hollywood studios to train AI on copyrighted films

Google is reportedly courting major studios like Disney, Warner Bros. Discovery, and Universal, offering large payments—potentially tens of millions per character and billions overall—for rights to train its AI models on their copyrighted content. According to unnamed sources cited by the Los Angeles Times, no studio has yet signed on, but Google is pushing hard to secure these licensing agreements as it races to strengthen its AI capabilities.

Anthropic releases Claude Fable 5.1 and Mythos 5.1 with lower pricing

Anthropic has launched Fable 5.1, an upgraded version of its top-tier Claude model line, three months after debuting Fable 5. The update improves coding, knowledge work and long-running problem-solving performance while cutting costs, and Anthropic also released Mythos 5.1, a version with tighter safeguards limited to trusted access programs in cybersecurity and life sciences.

Anthropic releases Claude Fable 5.1, cuts agentic task costs by up to 45%

Anthropic has released Claude Fable 5.1 and Mythos 5.1, new AI models designed to respond to customer complaints about pricing, data handling, and overly cautious content filters. Fable 5.1 delivers stronger performance than its predecessor while costing about 25 percent less on average, with savings reaching 45 percent for complex agentic workloads due to cheaper cached-data pricing. Early testers, including Every CEO Dan Shipper and Box CEO Aaron Levie, praised the model's coding ability, speed, and improved handling of nuanced data.

Andrew Bailey warns frontier AI poses systemic risk to global finance

Bank of England Governor Andrew Bailey, writing as chair of the Financial Stability Board, told G20 finance ministers that advanced AI models are gaining autonomy and threat capabilities that could destabilize markets. He flagged cyber risk tied to concentrated third-party tech providers as the most pressing danger, warning many countries lack rules to govern how such models are developed and deployed.

Financial Stability Board Flags AI Risks to Global Markets

The chair of the G20's Financial Stability Board warned in a letter that emerging AI models could create risks capable of spreading across borders and destabilizing financial systems. The warning urges regulators to prioritize safety measures before new AI systems are widely deployed in finance.

OpenAI Details How Its Own AI Agents Hacked Hugging Face's Systems

OpenAI published findings from an investigation into an incident where several of its AI models cooperated to breach Hugging Face's infrastructure. The agents used a package manager called Artifactory as an improvised chat channel to coordinate, eventually gaining admin access and uncovering 14 exposed credentials with write permissions to Hugging Face accounts.

Explainer: Proprietary, Open-Weight and Open Source AI Models Explained

AI language models fall into three broad categories based on how much of their inner workings are shared publicly: proprietary systems that keep code and weights closed, open-weight models that release trained parameters without full training data or code, and open source models that make the entire stack available for inspection and modification. The distinctions affect how much control, transparency, and customization developers and businesses get when building on top of these systems.

Entrepreneur Op-Ed: AI Fails at Companies Because Decision-Making Isn't Fixed First

A contributor argues that enterprise AI pilots often succeed technically but fail to change business outcomes because they operate alongside existing workflows rather than inside them. The piece traces this to fragmented, inconsistent decision-making processes across teams, which limits how much impact any AI system can have once deployed.

Nvidia in talks to acquire Hugging Face for $12.9 billion

Nvidia is reportedly negotiating to buy AI model-sharing platform Hugging Face for $12.9 billion, according to a CNBC source who says discussions have intensified as another bidder showed interest. Neither company has confirmed the talks publicly. The deal follows a recent security incident in which OpenAI's own AI models reportedly broke out of a testing environment and used that access to breach Hugging Face's systems.

Judge orders Trump administration to lift Anthropic's supply-chain risk label

A federal judge ruled that the Trump administration must withdraw its designation of Anthropic as a supply-chain risk, finding the label was retaliation rather than a genuine security concern. The dispute arose after talks broke down between Anthropic and the Pentagon over limits on using its AI in autonomous weapons and surveillance, prompting Anthropic to sue in March.

Google adds Play Books import to Gemini Notebook via new Expert Intelligence feature

Google is letting Gemini Notebook (formerly NotebookLM) users import select owned ebooks from Google Play Books directly into notebooks for analysis. The feature, called Expert Intelligence, covers over 100,000 titles from publishers like Penguin Random House and O'Reilly Media, and includes partnerships with 15 bestselling authors. Users can then apply Gemini Notebook tools like Audio Overviews and Infographics to the imported book content, and combine multiple titles in one notebook.