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.
Updated 2 hours ago·8 stories in the last 24 hours
Cascaded Retrieval with Cross-Modal Query Refinement for Efficient Visual Document Search. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision — the section covering image and video understanding, detection, recognition, multimodal perception.
Lexical Persistence Without Semantic Entrenchment in AI Agent Communities. Reported by arXiv. Bharat Hunt files it under AI Agents and Generative AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Do AI Agents Gossip? Evaluative Talk in Human and AI-Agent Online Communities. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
A Good Self-Teacher Meets the Student Where They Are: Joint On-Policy Learning and Teaching. 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.
RunningTab: Direct Workspace Interaction with Environment-Side Tabs. It centres on Nothing, 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.
Q-Learning with Scalar Adjoint Matching. 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. Open the original report for the full detail.
CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution. It centres on Fine-tuning, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
Which Rollout Taught It That? BehaviorTrace and the Limits of Training-Data Attribution in Online RL. It centres on Fine-tuning, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Training Parallel Speculative Draft Models by Directly Minimizing Expected Decoding Rounds. It centres on Inference, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
SOTA: Stock Options Trading Agents Guided by Option-Implied Return Distributions. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Regulation — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Reasoning-Token Spikes Under Prompted Untruthful Responding in Large Language Models. The story centres on Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
RoboQuest: Generalist Physical Agents that Search, Inspect and Test. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability.
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.