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.
842 stories
Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat? It centres on Benchmarks, and also names GPT and AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
PASTABench: Proactive Assessment of Sequential Trajectories for Agent Safety. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
An Anthropic researcher’s doomsday warning comes at a very interesting time. It centres on Anthropic, and also names AI Safety. Reported by TechCrunch. Bharat Hunt files it under AI Research and AI Funding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Broadening access to Skala creates a faster path to predictive DFT. It centres on Microsoft, and also names Benchmarks. Reported by Microsoft Research. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Benchmark Prediction with Sparse and Unpaired Cached Responses. 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. Open the original report for the full detail.
Error Accumulation in Second-Order Sequential Machine Unlearning. 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.
Scaling Multilingual Pretraining of Pixel Language Models. The story centres on AI Safety. 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.
VISTA: Steering LLMs with Latent User Values Inferred from a Few Survey Answers. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Anthropic Q3 revenue surges 45% to $16.8 billion as AI startup gears up for $2 trillion IPO. It centres on Anthropic, and also names OpenAI and AI Safety. Reported by The Economic Times. Bharat Hunt files it under AI Funding and AI Startups — the section covering rounds, valuations, acquisitions and investor moves in AI.
Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs. It centres on Inference, and also names AI Safety and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
FREA: A Multi-Source Expert Benchmark for Reaction Feasibility Verification. 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.
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.