Anthropic is using copyright takedown notices to try to contain an accidental leak of the underlying instructions for its Claude Code AI agent. According to the Wall Street Journal, "Anthropic representatives had used a copyright takedown request to force the removal of more than 8,000 copies and adaptations of the raw Claude Code instructions ... that developers had shared on programming platform GitHub." From the report: Programmers combing through the source code so far have marveled on social media at some of Anthropic's tricks for getting its Claude AI models to operate as Claude Code. One feature asks the models to go back periodically through tasks and consolidate their memories -- a process it calls dreaming. Another appears to instruct Claude Code in some cases to go "undercover" and not reveal that it is an AI when publishing code to platforms like GitHub. Others found tags in the code that appeared pointed at future product releases. The code even included a Tamagotchi-style pet called "Buddy" that users could interact with. After Anthropic requested that GitHub remove copies of its proprietary code, another programmer used other AI tools to rewrite the Claude Code functionality in other programming languages. Writing on GitHub, the programmer said the effort was aimed at keeping the information available without risking a takedown. That new version has itself become popular on the programming platform.

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Mitchell H. Katz, MD, president and CEO of NYC Health + Hospitals, said hospitals could already replace many radiologists with AI for some imaging tasks -- if regulators allowed it. He argued the technology presents an opportunity to simultaneously cut costs and expand access. Radiology Business reports: Katz -- who has led the 11-hospital organization since 2018 -- said he sees great potential for AI to increase access to breast cancer screening. Hospitals could potentially produce "major savings" by letting the technology handle first reads, with radiologists then double-checking any abnormal screenings. Fellow panelist David Lubarsky, MD, MBA, president and CEO of the Westchester Medical Center Health Network, said his system is already seeing great success in deploying such technology. The AI Westchester uses misses very few breast cancers and is "actually better than human beings," he told the audience. "For women who aren't considered high risk, if the test comes back negative, it's wrong only about 3 times out of 10,000," Lubarsky said. Katz asked fellow hospital CEOs if there is any reason why they shouldn't be pushing for changes to New York state regulations, allowing AI to read images "without a radiologist," Crain's reported. In this scenario, rads could then provide second opinions, if AI flags any images as abnormal. Sandra Scott, MD, CEO of the One Brooklyn Health, a small hospital facing tight margins, agreed with this line of thinking, according to Crain's. "I mean, I'm in charge of a safety-net institution. It would be a game-changer," Scott said about AI being used to replace rads.

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À l'occasion du Forum InCyber, Numerama a souhaité approfondir les discussions autour des menaces grandissantes pour les entreprises. Parmi elles, le « Shadow AI », et deux questions centrales face à ce défi : quelle stratégie adopter, et quelles responsabilités en cas de fuite de données internes ?