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    AI is eroding barriers that kept biological weapons rare●AI is eroding the barriers that kept biological weapons rare✉newsTechnologyAI3 min ago

    An analysis argues that artificial intelligence is dismantling the practical obstacles that historically kept biological weapons out of reach, such as scarce expertise, difficult access, and complex lab work. As AI tools make it easier to design pathogens or obtain dangerous knowledge, experts warn that existing safeguards may no longer be enough.

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    Nvidia launches AI safety platform amid spat with leading AI labs●Nvidia launches AI safety platform after Jensen Huang calls Anthropic, OpenAI warnings 'odd'✉newsTechnology3 min ago

    Nvidia has rolled out a new AI safety platform, announced shortly after CEO Jensen Huang dismissed warnings about AI risks from Anthropic and OpenAI as 'odd'. The move positions Nvidia, the dominant supplier of AI chips, as taking safety seriously even while publicly clashing with the labs leading development of frontier models. Commentators are weighing whether the platform is a genuine safety contribution or a response to criticism from rivals.

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    Roche lays out plans for autonomous AI laboratories●Roche outlines plans to move towards autonomous AI labs✉newsTechnologyAI3 min ago

    Swiss pharmaceutical company Roche has outlined plans to move towards autonomous AI-driven laboratories, according to a Reuters report. The announcement signals a push to automate research workflows using artificial intelligence, and is drawing attention as drugmakers increasingly compete to integrate AI into discovery and development.

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    AI companies race to prove their models are most dangerous to humanity●AI companies in race to demonstrate their model most threatening to humanityYhnTechnologyAI403 min ago

    A satirical report describes artificial intelligence firms competing to show their models pose the greatest existential threat to humanity, mocking an industry where warnings about catastrophic risk have become a badge of credibility. The piece portrays labs touting doomsday capabilities of their own systems as a marketing strategy, with commentators finding the premise uncomfortably close to real behavior by major AI companies.