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 9 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.
1230 stories
Commit or Abstain? System One Decision Models, LLMs, and Missing Legal Authority. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
CAVA: Complementary-Label-Aware Data Valuation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI. Open the original report for the full detail.
Learning Rational Strategies for Temporal Objectives in Multi-Agent Systems. 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. Open the original report for the full detail.
The Fragility of Trigger-Tag Mechanisms for Misuse Detection in Open-Weight LLMs. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Research — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response. 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. Open the original report for the full detail.
Introducing the Admin plugin for ChatGPT Work and Codex. The story centres on GPT. Reported by OpenAI. Bharat Hunt files it under AI Tools — the section covering applications people use — assistants, editors, search, productivity. Open the original report for the full detail.
Where Do LLMs Learn to Recommend AI? The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI. Open the original report for the full detail.
AI agents are coming to Rivian’s cars. Reported by TechCrunch. 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.
Jeva: System One Models from First Principles. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Error Rate is Not Enough: Costs of Augmentation in Low-Resource ASR. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Disentangling Paradigm, Identifier, and Decoding in Generative Retrieval. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Does a model's stated reason for rejecting a candidate do any work? Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. 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.