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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…
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…
A new arXiv paper compares tensor parallelism with KV-cache compression for memory-bound large language model serving, reporting that compression was 1.20 to 2.00 times cheaper across its tested configurations, while additional GPUs were the only tested approach that reduced latency.
A revised arXiv paper proposes auditing AI explanations for stability and faithfulness, reporting that models with AUC above 0.99 can still generate flat or uninformative explanations.
A months-long field test presented by web-security researcher James Kettle found that AI struggled to invent novel attack paths independently but became highly productive when guided by an experienced human. BigGo Finance reports that the work produced a previously unstudied vulnerability domain, though the…
A new paper presents MolEmb, a framework that adapts multimodal large language models to produce molecular embeddings conditioned on both molecular information and natural-language context.
A new arXiv position paper argues that giving AI agents more autonomy may weaken the human judgment needed to supervise them effectively.
A new preprint describes MARS, a prompt-only system that assigns programming problems to topic-specialist language models and reports a 14.4-percentage-point gain over direct prompting on CodeContests.
A new benchmark reports that large vision-language models perform well below human baselines when they must identify visual targets through incomplete descriptions and interaction.
The University of Tennessee Research Foundation alleges Anthropic used technology covered by two university-owned patents in Claude Code and other software without authorization. The Daily Beacon reports that the case seeks damages, but the complaint’s technical evidence and Anthropic’s response remain unavailable…
An arXiv paper presents CellFill, a method that adds knowledge to deployed 4-bit language models through a separate update file while preserving the original quantized weights exactly. The authors report high fact-injection rates and reversible updates, but the work remains an unpeer-reviewed preprint requiring…
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