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
Subpolynomial-Query Proximal Sampling Beyond Log-Concavity. The story centres on OpenAI. 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.
Distributed Predictive Flocking for a Swarm of Miniature Vibration-Driven Robots in a Confined Arena. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under Robotics and Open Source AI — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Post-Hoc Feature Selection Layer for Neural Networks Interpretability. The story centres on Fine-tuning. 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.
AllPath: Layered Verification for a Deployed, Self-Revising LLM Trading Agent under Human-Gated and Autonomous Regimes. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Funding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
AI-Driven Reproducibility and Analytical Robustness in Scientific Discovery. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
MultiPartyTurnBench: Benchmarking Floor Control in Multi-Party Spoken Dialogue. It centres on Benchmarks, and also names Gemini. 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.
Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation. 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.
GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models. It centres on AI Safety, and also names Fine-tuning and Inference. 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.
Retractions Revisited: A Replication, Extension, and Mechanistic Evaluation of Linguistic Obfuscation Effects in Fraudulent Science. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools — the section covering papers, benchmarks, evaluations, interpretability and safety results.
ScAn-Bench: Evaluating Scaling Analysis Methodology. 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.
One company is at the center of a wave of rogue AI attacks. It centres on OpenAI, and also names Hugging Face and AI Safety. Reported by The Verge. Bharat Hunt files it under AI Agents and Open Source AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
An Open Pipeline and Dashboard for Systemic-Risk Evidence under the EU AI Act's Code of Practice. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Coding — 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.