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9 storiesInnovation
Preprint tests whether LLM agents know when to remember, verify or ask
A new benchmark evaluates whether language-model agents correctly decide when interaction-derived information should be saved, checked, used temporarily or clarified with a user.arxiv.orgInnovation
Auditing Cross-Lingual Fairness in Language Model Watermarking
A new evaluation framework for watermarking schemes in large language models is proposed, focusing on cross-lingual fairness.arxiv.orgInnovation
Together AI benchmark: GLM-5.3 trails GPT-5.6 Sol on the first try, wins on retries at half the price
A Together AI analysis of 904 DeepSWE rollouts reports that OpenAI's GPT-5.6 Sol leads on first-attempt coding accuracy while the open-weight GLM-5.3 leads once retries are allowed, at roughly half the cost per attempt.together.aiInnovation
Nepali-English preprint: text-only AI matched multimodal model on out-of-context misinformation benchmark
A new arXiv preprint introduces NepOOC, a 1,090-pair Nepali-English benchmark for detecting misleading captions attached to authentic images. On this dataset, a text-only mBERT model matched the best tested multimodal system, while image-only models performed near chance.arxiv.orgInnovation
Preprint reports declining diversity in LLM creative outputs over three years
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.arxiv.orgSecurity
Anthropic expands Claude Mythos 5 for cyber defense and pledges $35 million in open-source credits
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.claude.comInnovation
Forbes reports Nvidia’s AVO harness helped Claude Opus 5 reach 100% on ARC-AGI-3
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…forbes.comInnovation
Preprint reports asymmetric risks that LLM compression metrics can miss
An arXiv preprint evaluating 3 LLMs across 11 compression methods reports that aggregate accuracy and perplexity can conceal uneven knowledge loss, overconfidence on newly lost information, and offsetting shifts in subgroup bias.arxiv.orgInnovation
Preprint finds irrelevant text can shift multimodal model judgments predictably
An arXiv preprint reports that task-irrelevant text consistently biases multimodal language models in visual judgments, and describes the effect as a measurable affine shift in decision margins.arxiv.org
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