Актуализира се ежедневно1461 проверени истории
Source-checked AI coverage of product launches, policy shifts, safety research, and industry moves, explained in plain English by a nonprofit education team.
Every story links to the strongest available evidence: original sources when available, otherwise clearly attributed reporting.
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Когато сигналът е слаб, ние не публикуваме нищо, вместо да допълваме емисията.
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A new arXiv preprint reports that injecting a new subject every few hundred tokens can increase language-model outputs’ judged surprise and connection. The effect did not produce integrated documents or improve the best result in an online bin-packing test, exposing limits in how long generations are evaluated.
A preliminary arXiv study finds that responses from language models have become less diverse across open-ended creativity tasks, raising questions about homogenization in human-AI creative work.
An arXiv preprint describes a method that trains transformer language models to work with sparse attention and reports frequent gains over models trained with exact attention.
Google Cloud presents CodeMender as an AI security agent that scans codebases, tests whether vulnerabilities can be exploited, and generates patches for developer review. The source does not describe it as a formal-verification framework or provide independent performance evidence.
Google Research introduced Mobility-Embedded POIs, a framework that combines place descriptions with aggregated, anonymized mobility patterns. The source says it improved several predictions about unseen places in tests covering Los Angeles and Houston.
An open-access AI & Society paper proposes “robotoid humanness,” describing how repeated interaction with personalized AI might encourage people to present themselves in ways that are easier for machines to classify and reward. It offers a theoretical framework, not evidence that the effect has been demonstrated.
Anthropic says Claude Mythos 5 is now powering vulnerability scans in Claude Security for Enterprise customers, while partner integrations are planned. It is also creating a $35 million credit fund for open-source security and expanding its cyber-verification program.
Google Research says its Biomarker Discovery Framework uses multiple specialized AI agents, statistical testing and human review to prioritize candidate biomarkers from wearable and clinical data.
The FDA is seeking public feedback on how generative AI-enabled medical devices should be assessed before and after marketing. The agency says its discussion paper is exploratory and does not establish new policy, guidance, or regulatory expectations.
NVIDIA says its DSX MaxLPS suite can reclaim unused rack power, improve performance per watt and support up to 40% more Rubin GPU capacity within the same facility power budget. The software is still in Developer Preview, and the performance figures come from NVIDIA's own representative workload evaluations.
Forbes reports that Nvidia’s AVO agent harness raised Claude Opus 5’s completion rate on ARC-AGI-3’s public set from about 30% to 100% without changing the model’s weights. The result materially advances an existing report about Nvidia’s AVO system, but the supplied article’s claims are not independently confirmed…
NVIDIA argues that AI-agent security controls should be enforced by runtimes and infrastructure, rather than by modifiable model or harness logic. Its technical blog proposes a layered architecture and four workload profiles, but provides no independent validation of the approach.
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