Актуализира се ежедневно1510 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.
Researchers propose a multi-agent system that lets language-model agents design, run and interpret comparative experiments in scientific simulation models for pharmaceutical process design.
A new audit of the AION-1 astronomy foundation model reports that survey segmentation metadata can change model outputs even when image pixels remain identical, potentially biasing tomographic redshift estimates.
A case-study audit reports that 354 of 366 days in an LLM-generated memoir contained no positively corroborated scene. Grounding the model in the subject’s documented record improved results but still left an 83.3% verification-failure rate.
A new preprint reports that conclusions about what AI models prefer may change substantially with the prompt format used to measure them.
A new preprint proposes FLARE, a framework for estimating whether healthcare AI deployments are economically viable after accounting for patient volume, verification time, infrastructure and workflow design.
BBC News Chinese reports that AI-generated videos featuring fictional doctors and false health or welfare claims are circulating widely among older people in Taiwan. A Taipei class is teaching seniors to question videos shared through YouTube and messaging groups, while the scale, ownership and possible political…
An arXiv study describes an inference-time method that selectively steers language models when they appear likely to hallucinate or change a correct medical answer under user pressure. In 600 pressure trajectories involving a 4-billion-parameter model, the authors say the unsteered model abandoned its answer 570…
An arXiv study reports that an LLM trained on synthetic limit order book data can generate valid event sequences while failing to learn the book’s underlying state, producing biased estimates and spurious predictability in forecasts.
The Straits Times reports that China is expanding AI data centres in Guizhou, using the province’s cooler climate, renewable energy and available land while seeking to develop the rural west. Residents describe better transport and nearby jobs, but researchers cited by the report question whether data centres…
NDTV reports that Harvard Business School has launched an eight-week, $699 startup bootcamp using AI mentorship modeled on faculty expertise, with live expert sessions and a potential investor pitch.
A paper introduces SyPS, a framework for testing whether changes in confidence, emotion, social consensus and validation-seeking language make large language models more likely to agree with users.
A new arXiv paper describes BioCheck Agent, an AI system that searches PubMed and produces evidence-backed biomedical fact-checking reports rather than isolated true-or-false labels. The authors report improved benchmark accuracy and fewer hallucinated citations compared with a Qwen3.5-4B base model, but real-world…
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