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 15 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.
4537 stories
IdeaLens: Detecting AI Ideas in Long-form Writing. The story centres on Benchmarks. 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.
UserProxyBench: Evaluating LLM User Simulators for Agent Benchmarks and Training. It centres on Benchmarks, and also names GPT. 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.
A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Enterprise AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Distillation Defenses Easily Break After Reinforcement Learning. The story centres on Replicate. 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.
Rethinking Personalized Generation: Test-Time Alignment via Factorized Ranking Models. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Reasoning with Continuous Latent Diffusion. It centres on Reasoning Models, and also names Inference and GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Coding — the section covering text, image, audio and video generation — products and their output.
Report: Progressive Disclosure of Agent Skills. 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.
MythoSemantic: An Interactive System for Discovering Semantic Parallels Across Mythological and Religious Traditions. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Research — the section covering applications people use — assistants, editors, search, productivity.
The Development of Sycophancy in Language Models: Tracing Vulnerabilities from Pretraining to Post-Training. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Conditional Rank Allocation for Taxonomy-Aware Medical Language Model Adaptation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Gender bias across LLMs is common and highly heterogenous. 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.
doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous Driving. It centres on GitHub, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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.