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 17 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.
OmniVerifier-C1: Decomposed Graded Verifier for Rule-Governed Generative World Modeling. It centres on Multimodal, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Research — the section covering text, image, audio and video generation — products and their output.
FDE-Gym: The Last Mile of AI Delivery. 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. Open the original report for the full detail.
MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
3DCodeVerse: Exploring 3D Worlds as Code. It centres on Fine-tuning, and also names Claude. Reported by arXiv. Bharat Hunt files it under AI Coding and Open Source AI — the section covering code generation, developer agents, IDEs and software engineering.
Dexterity from Supervised Play. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Robotics and AI Research — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages? The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Research — the section covering rounds, valuations, acquisitions and investor moves in AI.
KnowGPO: Knowledge-Grouped Policy Optimization for Search Agents. 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.
Designing Transformers for Continuous Diffusion Language Models. It centres on Perplexity, and also names Inference. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Research — the section covering text, image, audio and video generation — products and their output.
Twice Upon a Time: Complementary Representations for Time-Series Reasoning. It centres on Benchmarks, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Learning Self-Orchestration in Decentralized Agent Swarms. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and Robotics — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
AVC-Reward: Event-Centric Audio-Video Consistency Evaluation. It centres on Benchmarks, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
A team of Gemini 4 Argon agents beats Minecraft. The story centres on Gemini. 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.
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.