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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4537 stories
Dr. OPD: Learning What to Follow for Optimal On-Policy Distillation of Large Language Models. 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.
Retrieval-Augmented Skill Optimization via Cross-Harness Adaptation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
PE-EK-PINN: Physics Embedding with Evolving Kernel for Scalable Physics-Informed Neural Networks. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Rethinking Circuit Evaluation: Do Circuits Explain Model Errors? It centres on Benchmarks, and also names Replicate and GPT. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
QuanReview: Offline, Auditable Reconciliation of Human and LLM Span Annotations. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
Advancing Private AI Compute with secure, server-side memory. Reported by Google DeepMind. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Discovery-Driven Integration of Disjoint Tables via Text. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Research — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
Stratified Sparse Attention: Reducing the Sparse-to-Dense Gap at Extreme Sparsity. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
The Effectiveness and Durability of Pretraining Data Filtering in Protein Language Models. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
From Outcomes to Components: A Counterfactual Evaluation Framework for LLM-Proposed Repairs. 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.
Reasoning-Aware Multicalibrated Reliability Predictors for Language Models. It centres on Reasoning Models, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
The Many Morals of AI: The cautionary bias of North American news narratives in global perspective. Reported by arXiv. Bharat Hunt files it under AI in India and AI Regulation, and tracks it as India coverage — the section covering india's AI ecosystem — government programmes, institutions, national models.
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.