Oppdateres daglig1526 bekreftede historier
Kildesjekket AI-dekning av produktlanseringer, endringer i retningslinjene, sikkerhetsundersøkelser og bransjebevegelser, forklart på vanlig engelsk av et nonprofit-utdanningsteam.
Hver historie kobler til de sterkeste tilgjengelige bevisene: originale kilder når de er tilgjengelige, ellers tydelig tilskrevet rapportering.
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En voksende strøm av bekreftede perspektiver for folk som trenger å forstå AI uten å jage etter hype.
Colorado has proposed rules that would require employers using AI in consequential employment decisions to disclose the technology’s role, identify data sources, and provide independent human review after adverse outcomes. The National Law Review reports that the draft rules are not final and would take effect…
SUD.UA reports that Arizona’s Supreme Court rejected a proposal to temporarily suspend judges’ use of generative AI and instead ordered further oversight and rulemaking.
Andreessen Horowitz’s new Machine Age Fund will back chips, memory, networking, storage, data centers, robotics and home AI appliances, PYMNTS reports.
IBTimes, citing a Guardian investigation and internal documents, reports that Microsoft’s global AI-chip count has reached about 2.2 million—less than half of some analyst projections for this stage. Microsoft has not independently confirmed the figure in the source.
A new preprint describes AffectOmni, a reinforcement-learning framework designed to make multimodal AI models base affective judgments on people-centered cues such as facial expressions, body language and temporal order. The authors report improvements over open-source 7B-scale baselines on three benchmarks…
A new preprint introduces FaithSieve, a Lean-assisted framework that breaks AI-generated mathematical proofs into local reasoning units and reports higher first-error localization accuracy than direct model judging.
A new preprint reports that large language models displayed measurable signs of mentalization in two economic games, but their performance and strategies differed by model family and size. The authors say GPT-5 agents adapted to increasingly sophisticated opponents and outperformed the human comparison group in…
A paper accepted to ACSOS 2026 reports that language-model guardrails can issue approvals that become invalid before a self-adaptive system uses them. Its proposed Freshness-Bounded Shield reduced measured approval-expiry rates in five simulator environments, though the source does not establish real-world…
A new arXiv benchmark finds that open-source AI agents can complete many dependency-ordered hardware-design operations through MCP tools, while tool descriptions, context length and agent configuration strongly affect reliability.
A paper accepted at EMNLP presents a runtime architecture that replaces growing agent conversation histories with mutable structured execution state.
A new Chinese-language benchmark evaluates large language models by the decisions and evidence states they face in financial risk workflows, rather than by general capability scores alone.
A new benchmark evaluates whether AI agents can turn raw biological data into research outputs across complete computational biology workflows. In 20 tasks, 13 frontier models scored between 0.00 and 0.48, with performance declining as datasets and sequences of analysis steps grew.
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