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Akụkọ ndị ọzọ
9 akụkọNchekwa
Benchmark of 53 AI models finds no single system catches every harmful-content risk
A new arXiv study evaluates 53 language models across 11 safety datasets and reports that model strengths vary sharply by harm category, while conversational safety remains unresolved.arxiv.orgNgwaahịa
Xiaomi doubles down on in-house chips to support on-device AI
The South China Morning Post reports that Xiaomi has unveiled new Xring chips for smartphone AI, large-language-model acceleration and autonomous driving despite weaker profits and rising component costs.scmp.comIhe ohuru ohuru
Paper proposes two-level reinforcement learning for conversational agents
ToSCA proposes a hierarchical reinforcement-learning framework that separates strategic choices from token-level response generation. The authors report improved strategy selection and response quality against several baselines in daily and emotional-support conversations.arxiv.orgỤlọ ọrụ
Fortune reports enterprise spending on Anthropic’s Claude Fable 5 has stalled
Fortune reports, citing payment-processor data from Ramp, that Claude Fable 5 represented 11% of corporate spending on Anthropic models two months after release, but that share has since stalled. The report says the pattern could pressure frontier AI companies to compete more aggressively on price, although Ramp’s…fortune.comIhe ohuru ohuru
Study reports ‘RAG collapse’ when language models retrieve their own writing
An arXiv study reports that language-model systems can enter a failure pattern when search retrieves documents they previously generated. In the authors’ simulations, 79.6% of 1,528 runs ended in what the paper calls “RAG collapse.”arxiv.orgNchekwa
Paper warns that LLM agents can recover deleted knowledge through tools
A new arXiv paper identifies a gap in LLM unlearning: an agent may stop recalling information from its weights but recover it through web search, retrieval or database tools. The authors propose a two-stage method to reduce both forms of recovery while preserving legitimate tool use.arxiv.orgIhe ohuru ohuru
The Asia Business Daily reports Harvard bootcamp uses faculty AI avatars for $699
Harvard Business School’s eight-week HBS Foundry bootcamp uses conversational AI agents and video avatars modeled on faculty members to coach aspiring entrepreneurs, The Asia Business Daily reports, citing The New York Times.asiae.co.krNchekwa
Researchers propose KFS-RAG defense against database leakage in retrieval systems
A new arXiv paper proposes replacing raw retrieved passages with compact, keyword-grounded facts to reduce the risk that prompt injections cause retrieval-augmented generation systems to expose sensitive database contents.arxiv.orgIhe ohuru ohuru
MCite-RL proposes reinforcement learning framework for more reliable visual citations in multimodal RAG
An arXiv preprint introduces MCite-RL, a framework that uses iterative retrieval, reasoning, recursive image cropping and citation-focused reinforcement learning to improve both multimodal answers and the accuracy of their visual evidence links.arxiv.org
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