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 23 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.
202 stories
Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution. It centres on Nothing, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Funding — the section covering law, policy, courts, standards and government positions on AI.
Average-Reward Policy Identification from a Single Continuing Trajectory. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Hyperspherical Contrastive Representations Unlock Planning and Exploration. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
KnowGPO: Knowledge-Grouped Policy Optimization for Search Agents. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance. It centres on Fine-tuning, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI.
Recovering Reliable Supervision via Critique-Guided On-Policy Distillation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
VASPO: Self-Distillation with Privileged Value Estimation. It centres on Reasoning Models, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
Provably Efficient Q-learning for Robust Reinforcement Learning. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
RL Starts before RL: On Policy Distillation for Better Reinforcement Learning. It centres on Fine-tuning, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI.
Optimizing Stochastic Policy Geometry for Few-Step Flow Reinforcement Learning. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
GPDPO: Learning from Reward Conflicts via Group Pareto-Dominance Policy Optimization. It centres on Benchmarks, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
Your Policy Is Secretly a Harness: The Decision Geometry of Agent Interfaces. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Tools — the section covering law, policy, courts, standards and government positions on AI.
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.