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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842 stories
Whose Effect Is It? How Objectives Inflate Learned Subspace Interventions. It centres on Nothing, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Quantifying Claim Smoothing by LLM Research Agents. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
When Human Corrections Travel: Safety in Federated VLA Adaptation. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Quant-Arena: Benchmarking LLM Agents for Quantitative Trading Research. It centres on Benchmarks, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Anthropic is letting METR researchers look under the hood with employee-level access. The story centres on Anthropic. Reported by TechCrunch. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Bayesian Learning to Select Fair Classifiers. 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.
BLiMPPI: Benchmark of Linguistic Minimal Pairs for Polarity Items. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
The Missing Minimal Pair: Stereotype Evaluation in LLMs. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
OpenAI safety employee resigns, claiming the company’s ‘culture is broken’. The story centres on OpenAI. TechCrunch and theguardian.com have both covered it. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
PyPottery: an AI-powered end-to-end suite for pottery processing and publication. Reported by arXiv. Bharat Hunt files it under AI Research and Open Source AI — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Elicitation and Decision Geometry in Single-Index Bandits. 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.
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.