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.
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212 stories
On the Convergence of Success Conditioning for Policy Optimization. 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.
Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features. It centres on Fine-tuning, and also names GitHub. 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.
From Gradients to Capabilities: Understanding Multi-Teacher On-Policy Distillation. The story centres on Qwen. 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.
Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD? The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
Recommender regret for improving regularised RL estimation with bandits and MCTS. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
Role-Adaptive Policy Optimization for Offline Reinforcement Learning. The story centres on Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Regulation, and tracks it as India coverage — the section covering law, policy, courts, standards and government positions on AI.
Predictable Failure in Multi-Hop Retrieval: Score-Distributional Confidence Scoring and Abstention. 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.
On the Limits of Sparse Linear Model with Shuffled Differential Privacy. 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. Open the original report for the full detail.
Matched-Context Group Policy Optimization for LLM Agent Training. 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.
Verdict Without the Rule: Diagnosing and Auditing Regulatory Rule Sensitivity in LLM Compliance Systems. 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.
Metropolis-Hastings Dominates Importance Resampling for Policy Composition. The story centres on Inference. 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.
Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern. It centres on Amazon, and also names Model Context Protocol. Reported by AWS. Bharat Hunt files it under AI Regulation and AI Agents — 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
Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
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.