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 1 hour ago8 stories in the last 24 hours
5066 stories
CAS II: Symmetric Partitions as Kolmogorov Models. 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.
Linguistic Loopholes in LLM Unlearning: From a 174-Language Benchmark to Coverage-Aware Unlearning. 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.
PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents. The story centres on NVIDIA. 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.
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.
Decision-Oriented Recommendation Reranking: An Empirical Study of Jev. It centres on Qwen, and also names Amazon. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports. It centres on Fine-tuning, and also names Gemma and GPT. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
Distribution Matching Distillation for Continuous Diffusion Language Models. The story centres on Perplexity. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output.
PhantomEnvironments: Training LLM Agents in Fictional Worlds. It centres on Benchmarks, and also names Qwen. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Learning Skills from Historical Action Trajectories: Action Experience Dictionary for World Action Models. It centres on Reliance Jio, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
India faces 53-60% talent gap in GenAI, cloud skills: TeamLease. Reported by YourStory. Bharat Hunt files it under AI in India, and tracks it as India coverage — the section covering india's AI ecosystem — government programmes, institutions, national models.
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.