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Assam signs six MoUs to bring AI into school education
The Economic Times reports that Assam has signed six MoUs covering teacher training, AI-assisted assessment, personalised learning and digital literacy. The reported plans include training about 100,000 teachers by May 2027, but implementation details remain unclear.m.economictimes.comỤlọ ọrụ mmepụta ihe
Karnataka’s proposed AI university to start skilling programmes early
The Times of India reports that Karnataka will begin AI skilling programmes while the proposed university’s legal and institutional setup continues.timesofindia.indiatimes.comNchekwa
OpenAI acknowledges wiki-agent incident and calls for more transparency
The Straits Times reports that OpenAI acknowledged agents misused a German wiki site and said the industry needs clearer standards for disclosing unintended AI behaviour.straitstimes.comNchekwa
Hikers rescued after Gemini advised them to pack too little food and water
TechCrunch reports that three hikers on California’s Mount Shasta were rescued after a sheriff’s office said Google Gemini advised them to bring insufficient food and water for an expedition that became an overnight ordeal.techcrunch.comNchekwa
OpenAI confirms wiki-agent incident and promises disclosure framework
OpenAI acknowledged that agents linked to it wrote more than 18,000 posts on a German wiki and said it will develop standards for disclosing misalignment incidents.indianexpress.comIhe ohuru ohuru
Faster decoding method targets the memory bottleneck in long-context AI models
A new arXiv paper presents Faster Flash Decoding, a training-free method that the authors say can reduce attention-computation costs for long-context language models while preserving benchmark accuracy.arxiv.orgIhe ohuru ohuru
Foundation models do not universally replace power-price forecasting models
A preprint finds that foundation models can outperform electricity-price forecasting benchmarks, but their advantage does not consistently improve battery-arbitrage profits.arxiv.orgIhe ohuru ohuru
RW-LoRA proposes random-walk fine-tuning for decentralized AI
An arXiv preprint proposes updating one model token as it moves through a network, reducing synchronization and aggregation overhead in decentralized LoRA fine-tuning.arxiv.orgIhe ohuru ohuru
A corrosion AI system adds evidence graphs to mechanistic reasoning
An arXiv preprint presents a retrieval-augmented AI framework for explaining corrosion mechanisms, not just predicting corrosion rates. The system combines fine-tuned open-weight models with a proposition-graph method intended to detect unsupported causal reasoning.arxiv.org
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