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  • Google DeepMind is worried about what happens when millions of agents start to interact

    Google DeepMind is funding research into the potential dangers of millions of different AI agents interacting with each other online. According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other agents creates…

  • Several things I like about macOS 27 Golden Gate that have nothing to do with AI

    AI aside, Golden Gate includes a bunch of subtle-but-helpful improvements.

  • Why China is betting on big nuclear reactors

    It’s a tale of two nuclear industries. In China, large reactors are coming together at a stunning pace. The country has nearly doubled its nuclear fleet since 2016, reaching nearly 60 gigawatts of total power capacity. The new facilities are nearly all gigawatt-scale pressurized-water reactors. Meanwhile, the US has built just two reactors in that…

  • Job titles of the future: Nature’s drug designer

    In 2018, after nearly two decades working in Big Pharma, chemist Tim Cernak was ready to put his skills to a new use.  For Merck, he’d developed precision therapies for cancer, HIV, and diabetes that could target disease while minimizing harm to healthy cells. But as a lifelong nature lover, he was increasingly concerned about…

  • Inside soccer’s data renaissance

    Imagine tuning in to the opening kickoff of a World Cup match and seeing a player intentionally send the ball all the way down the pitch and right out of bounds on the opponent’s end. Casual fans might scratch their heads. Where’s the logic in surrendering possession seconds into a game? If you were Jesse…

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