Meta has promised superintelligence for everyone, reached through your glasses; another says robots will double the economy. Both assume machines can reason about physical space. A review of 37 models says they can't, and the benchmarks that grade them are biased. The AI future rests on a bent test.
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A cloud provider, a wallet maker and an exchange have handed AI agents an identity, a wallet, and a spending limit — as the same cloud chief warns humans will be a rounding error online. The contested layer has moved above the payment rail to who verifies a machine and the truth of the data it uses.
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Capable AI costs a hundredth of the US frontier, set in China and open-weight, and one side effect is power draining east. The bigger one: when intelligence is everywhere, value leaves knowledge for judgment—yet firms are cutting junior roles that grow it. So who trains the judgment AI can't supply?
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An AI trained on the language of DNA has designed complete working genomes, and the same capability is being aimed at carbon capture, plastic waste and cleaner farming. For climate research, the biology of repair is shifting from a search through nature into something engineers can design on demand.
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A tongue-read retainer restoring computer control, an open AI that spots cancer on a routine slide, and a personalized vaccine aimed at a patient's own tumor: medicine is shifting from managing disease to handing capability back through modest hardware. The science is here; the question is who pays.
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A robot reasoning model has moved behind a cloud interface, a world-model lab has bought its way into robot training data, and a tactile study shows vision alone fails. Physical AI is separating into a rented brain and a commodity body, so the value, data, and control concentrate in the brain layer.
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A custodian for $8.6 trillion has begun issuing funds as native tokens, ten European banks have launched a shared chain, and a stablecoin issuer has won bank charters. Ownership is becoming the token itself—and the reconciled second copy that verified it is disappearing. So, who holds the only copy?
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An industry coalition, a workforce petition, a lab's self-audit, and two governments moved to control frontier AI at once—yet the defense coalition excludes the four biggest labs, and the brake is voluntary. Control is leaving the labs that build it, and the cage has a hole shaped exactly like them.
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Climate accountability is leaving paper behind. As AI's power demand outruns clean supply, hyperscalers are trading renewable certificates for firm nuclear contracts and certified carbon-removal tonnage—hardening proof from self-attestation to certification, and concentrating who controls the rails.
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Universal electronic records, a billion exchanged over the national network, seventy years of research standardized to train medical AI, and clinical AI inside flagship hospitals: the infrastructure for machine judgment in medicine has arrived before the layer that validates it. So who certifies it?
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