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Top storyA case study reports that an AI research system helped improve bounds on the Grothendieck constant, while the authors emphasize that human researchers chose the key pivot and independently verified only the theorem-level result.
IO Factory links campaign planning, simulated platform activity, audience exposure, and measured state changes, but its authors stress that the results do not estimate real-world persuasion or prove that any campaign occurred.
REDAgentBench finds that agent safety results depend on the model, harness, attack surface, and evidence visible to the evaluator, while a policy reminder sharply reduced harmful executions in a matched replay.
An analysis of 1,867 repositories finds that agent instruction files accumulated rules far faster than maintainers removed them, while rationale comments sharply reduced the excess growth in controlled tests.
A new preprint estimates whether an unfinished model response will become unsafe by reading its early probability distributions, but the evidence is limited to three open model families and benchmark attacks.
NVIDIA says six investment firms will build independent financing platforms for AI compute, but the headline figure is a long-term mobilization target rather than committed spending or company revenue.
Meta's 30-billion-parameter open-weight model brings image understanding, tool use, and long agent workflows to consumer hardware, but its speed, safety, and benchmark results still need independent testing.
OpenAI's new controlled-access cyber model answers more advanced exploit-research requests and helped find a patched Chrome flaw, but most evidence comes from internal evaluations.
Anthropic says a retrained safety classifier reduced biology-related fallbacks by about 85%, allowing more health and education queries while keeping dual-use research restricted.
Two US experiments found that tailored Gemini conversations reduced participants' belief in newly forming conspiracy theories more than unrelated chats and usually more than static fact sheets.
Google DeepMind's peer-reviewed WeatherNext Cyclones model outperformed leading weather systems on 2023-2024 storms and is now open source, but official warnings remain the job of meteorological agencies.
A six-model preprint found sharply different ways of resisting, redirecting, or following steering prompts, but its model-judge labels still need validation by human raters.