The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.
Ingestion is behind — last completed run was 14 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
FORTE: A Production Framework for Feature Evaluation and Deprecation in Industrial Recommender Systems. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools — the section covering papers, benchmarks, evaluations, interpretability and safety results.
MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
SquidAgent: Parallelize Wisely, Coordinate Efficiently. It centres on AI Safety, and also names Claude Code. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents. It centres on Benchmarks, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
Call it AI, call it Super Intelligence, only 2% of consumers are buying it. It centres on Anthropic, and also names Dario Amodei and AI Safety. Reported by TechCrunch. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
When AI agents go rogue: Australia breach offers warning for countries like India. The story centres on AI Safety. Reported by The Economic Times. Bharat Hunt files it under AI Agents and AI in India, and tracks it as India coverage — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Generalization behavior of OPTQ and the role of regularization. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Completed Pairs Hide Capped Failures: A ReVerPi Case Study of Selective Context Projection. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Programs-of-Layers in LLMs through the Lens of Cortical Areas. It centres on Inference, and also names Replicate and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
A Safety-Bounded SDC-to-MCP Gateway for Medical AI Agents. It centres on Model Context Protocol, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Regulation — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
AERIAL: Adversarial Evaluation of Robustness in Accuracy-Preserving Low-Precision EEG Decoders. It centres on Benchmarks, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and Enterprise AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
RegKT: Interpretable and Robust Deep Knowledge Tracing With IRT-Regularizer. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories
Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).
A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.