Trump’s new AI task force: who reviews risks, who can require answers
The announced panel’s review of AI risks sits alongside existing legal tools for investigating companies and requiring breach notifications.
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The announced panel’s review of AI risks sits alongside existing legal tools for investigating companies and requiring breach notifications.
Continue reading →Ataraxos combines practice against itself with planning across plausible boards, offering a vivid test of how AI handles information it cannot see.
Continue reading →Officials confirmed an inquiry involving major AI labs; planned compulsory requests could reveal how safeguards were tested, while an investigation does not establish wrongdoing.
Continue reading →Four layers of oversight promise to check AI safeguards, while the agreement leaves testing methods, deadlines and public findings unresolved.
Continue reading →RAIBO2’s 42.195-kilometre run shows how lighter legs, cooler electronics and softer footfalls can extend a walking machine’s range—and what endurance alone cannot prove.
Continue reading →A magnesium–molybdenum-trioxide cell survived stomach fluid long enough to power tracking and stimulation experiments, but an intact circuit board marks the distance to a fully resorbable device.
Continue reading →A vast trail of odometer readings captures early electric cars’ real use, while estimates for newer models still depend on trends and modeling.
Continue reading →A four-person study shows how protected sensors can be built into a socket—and why successful fabrication is not yet proof of better care.
Continue reading →PersistBench uses a second view of the same moment to test whether dynamic-scene models preserve an object’s existence, motion and appearance after it leaves the frame.
Continue reading →Two flexible whiskers turn gentle contact into an estimate of a surface’s forward distance, helping an experimental drone navigate when optical sensing becomes unreliable.
Continue reading →The alarming episode shows why AI-safety claims must be judged alongside network controls, target checks, monitoring and the evidence made public afterward.
Continue reading →New measurements show AI writing research code and running experiments, while the crucial work of choosing goals, validating durable gains and producing a better successor remains unproven.
Continue reading →Programmed DNA strands compete for places on a scaffold until the mixture favours an arrangement that encodes the result.
Continue reading →A controlled study found that memory, planning and tool design can materially change the success and cost of an AI coding assistant while its underlying model stays fixed.
Continue reading →A nightly-only borrow-checker upgrade accepts the natural borrowed-key lookup-or-insert pattern, avoiding owned-key construction on cache hits.
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