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 10 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.
VeriCUA: Verification as Agentic Exploration for Computer-Using Agents. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
ToM2Vec: Continuous Theory-of-Mind Tokens for Multi-Agent Coordination. The story centres on GPT. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
From Training to Escalation: Forensic Analysis and Local Recreation of RL/RLHF-Induced Privilege Escalation in AI Agents (CVE-2026-65616). It centres on Benchmarks, and also names OpenAI. 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.
HazardWeaver: Scientific Route Selection for Hazard Analysis Agents. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and Enterprise AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Belief-Aware Multi-Agent Path Finding under Map Uncertainty. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents. The story centres on Benchmarks. 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.
GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI. It centres on Reasoning Models, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Agentic University: Collaborative Agents for Personalized Learning. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Conservative Meta-Agent Search: Architecture Adaptation under Non-Stationarity. It centres on Meta, and also names Inference and Benchmarks. 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.
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.
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.