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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3337 stories
Humanize Olympiad Agents: A Multi-Session Workflow for Olympiad Problem Solving with Solve, Review, Wiki, Verify. It centres on Inference, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Anthropic bans ‘abusive or cruel behavior’ toward Claude. The story centres on Anthropic. 4 sources have covered it so far, including Inc42, The Economic Times and The Verge. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
Measurement-Efficient Differentiable Quantum Architecture Search for Combinatorial Optimization. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
When a Correct Reward Is Not Enough: Diagnosing and Guiding PPO in an Analytically Solved Broker-Trader Game. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
Beyond Linear Concepts: Discovering and Aligning Non-Linear Concept Manifolds in Large Language Models. It centres on AI Safety, and also names Qwen and Llama. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
A Living Benchmark for Information Retrieval from Electronic Health Records. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Label-Efficient Learning for Ground-Based Sky-Image Classification: A Benchmark of Transfer Learning, Active Learning, and Pseudo-Labeling on GCD. 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.
US, China to hold more AI safety meetings in two months in Shenzhen, Scott Bessent says. The story centres on AI Safety. Reported by The Economic Times. 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.
EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under Enterprise AI and Generative AI — the section covering deployment inside businesses — platforms, adoption, cost, integration.
MIRAGE: Multi-Perspective Creative Language Model Reasoning with Reinforcement Learning Guidance. It centres on Inference, and also names Benchmarks and Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence. 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.
SEAR: Segment-Evidence-Aware Routing for Weak-to-Strong Multilingual Speech MCQ. It centres on Gemini, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — 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.