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OpenAI says its AI solved hundreds of tough math problems. But when experts took a closer look, the solutions didn’t quite meet their standards. 🧮

Here’s what else happened in AI while you were busy.

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Three former OpenAI safety researchers are pushing back against the company’s claims that they mishandled sensitive information. They warn that their dismissals could make other employees afraid to raise safety concerns or work with outside researchers.

OpenAI released hundreds of claimed solutions to difficult math problems, but experts say the work still falls short of important research standards. Questions remain about whether the proofs have been properly verified and whether researchers fully understand the results.

USA Today and several local newspapers are suing OpenAI, alleging it used hundreds of thousands of articles to train its AI models without permission. The publisher is seeking more than $250 million in damages, adding another major fight to the growing debate over AI and copyright.

Google Cloud has introduced a Gemini agent designed to work around the clock, using business tools, data, and work history to handle tasks across research, content creation, and coding. Built-in security controls and spending limits aim to help companies put AI agents to work without losing control.

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What if scientists could study how living cells behave without running every experiment in a lab? That’s the ambition behind Biohub’s expanded Virtual Biology Initiative, which aims to give AI models the biological data they need to predict how cells work and respond to changes.

The long-term goal is to build virtual cells that help researchers understand diseases, explore potential treatments, and test scientific ideas faster. It’s a major step toward using AI to answer some of biology’s hardest questions.

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