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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3255 stories
Workload-Static Optical Circuit Switching For Scalable LLM Inference Decode. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
FloMo: 3D Scene Flow as a World Action Model Intermediate for Learning from Human Video. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability.
Same Outputs, Different Scores: Auditing the Unchecked Graders of Multimodal LLM Benchmarks. It centres on Multimodal, and also names Benchmarks and Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
Finding Errors Is Not Enough: Selective Model Escalation for Entity-Targeted Sentiment Analysis. 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.
Observable-Specific Validity Tests for Scientific AI: Controlled Approximations and Intervention Response. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding — the section covering rounds, valuations, acquisitions and investor moves in AI.
Peeling the Matryoshka: Extracting Ontological Structure from Retrieval Embeddings. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Multistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond. 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.
BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing. It centres on Benchmarks, and also names Multimodal and GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Reinforcement learning for control of partial differential equations. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
DeepSeek, Moonshot used OpenAI's GPT-6 Astra to train latest models: report. It centres on DeepSeek, and also names Moonshot AI and OpenAI. The Economic Times and The Indian Express have both covered it. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
MiRL: Error-Targeted Reinforcement Learning for Correcting Terminal Agent Misbehaviors. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
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.