Актуализира се ежедневно1535 проверени истории
Проверено от източници AI покритие на пускането на продукти, промените в политиките, изследванията на безопасността и индустриалните ходове, обяснено на ясен език от образователен екип на неправителствена организация.
Всяка история се свързва с най-силните налични доказателства: оригинални източници, когато са налични, иначе ясно приписани доклади.
Какво се случи, защо има значение и какво да гледате – без данък върху жаргона.
Когато сигналът е слаб, ние не публикуваме нищо, вместо да допълваме емисията.
Нарастващ поток от проверени гледни точки за хора, които трябва да разберат AI, без да преследват реклами.
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.
Researchers introduce FLARE, a system that pairs an LLM-based agent with the Lean proof assistant to check whether proposed mixed-integer linear programming reformulations preserve the original problem. On the paper’s 20-problem, 109-formulation benchmark, the authors report 100% accuracy on the NP-hard subset and…
Researchers propose a framework that compares AI systems with workplace tasks using shared cognitive-capability profiles, based on evaluations of six AI systems and task requirements gathered from 410 employees.
A new arXiv benchmark evaluates whether large language models can discover distinct crashes in open-source software without being given a predefined vulnerability target. In the authors’ tests, Claude Opus 4.8 triggered crashes in 60 of 77 challenges, but achieved only 196 of a possible 579 points.
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