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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710 stories
Prune Gradually, Adapt Sparsely: Efficient Pruning of Large Language Models at Extreme Sparsity. It centres on Inference, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Dimension-free regimes for unadjusted Langevin in ridge-separable models: A subspace robust Wasserstein analysis. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios. It centres on Reasoning Models, and also names Fine-tuning and Inference. Reported by arXiv. Bharat Hunt files it under Robotics and Computer Vision — the section covering embodied AI, humanoids, autonomous vehicles and drones.
RetroThinker: Enabling Retrospective Thinking in Speech LLMs. It centres on Reasoning Models, and also names Inference and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Reading Why: Born-Measured Attention with Exact Word Evidence on Light and Qubits. It centres on Inference, and also names IBM. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Precision--Recall Trade-off on the Inference Level for LLMs in Grammatical Error Correction. It centres on Inference, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Green Code or Costly Code? Evaluating the Energy Costs of Iterative LLM-Based Code Optimizations. It centres on Benchmarks, and also names Inference and GPT. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
SP-HLM: Sparse-Pose-Driven Motion Generation and Whole-Body Control for Humanoid Loco-Manipulation. It centres on Multimodal, and also names Inference and GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
LEASH: Uncertainty-Aware Weak-to-Strong Escalation and Oversight for Computer-Use Agents. It centres on Claude, and also names Inference. 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.
Baselines and Score Centering in Policy Gradient Estimation. The story centres on Inference. 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.
Hero Electronix’s Tessolve Semiconductor raises $75 Mn led by Vector Line Capital. The story centres on Tessolve Semiconductor. Reported by Entrackr. Bharat Hunt files it under AI Hardware and AI Funding, and tracks it as India coverage — the section covering chips, accelerators, data centres, on-device inference and supply.
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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.