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.
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160 stories
Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems. It centres on Benchmarks, and also names RAG and Hugging Face. 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.
Closed-Form of the Local Galactic Potential and Stellar Distribution Function from Gaia DR3. 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.
Closing the Consistency Gap: Self-Evolving Agents That Learn to Stay on Course. It centres on Benchmarks, and also names GPT. 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.
Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning. It centres on Reasoning Models, and also names Benchmarks and Inference. 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.
GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks. 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.
Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod. It centres on NVIDIA, and also names Benchmarks and Amazon. Reported by AWS. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply.
Measuring LLM Sycophancy under Sustained Multi-Turn Pressure. 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.
GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Computer Vision — the section covering a new or updated model, its capabilities, benchmarks or availability.
ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation. It centres on Fine-tuning, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics. It centres on Benchmarks, and also names Claude. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Benchmark Scores Are Pipeline-Dependent: A Reliability Audit of Cybersecurity LLM Benchmarks. 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.
Voice AI startup Navana.ai raises Rs 40 Cr led by Ronnie Screwvala. It centres on Benchmarks, and also names IISc and IIT Madras. Reported by Entrackr. Bharat Hunt files it under AI Funding and AI in India, and tracks it as India coverage — the section covering rounds, valuations, acquisitions and investor moves in AI.
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.