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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292 stories
Modeling and Understanding Neural Weights of Humanoid Policies with Diffusion. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and Generative AI — the section covering embodied AI, humanoids, autonomous vehicles and drones.
ReaDy: Recurrent States as Dynamic Context for Speculative Drafting in Hybrid Linear Attention Large Language Models. It centres on Benchmarks, and also names NVIDIA and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving. It centres on Benchmarks, and also names GitHub. 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.
PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis. It centres on Multimodal, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
CNet: A Complex-Valued Deep Learning Framework with Wirtinger Autodifferentiation and FFT--Hadamard Convolution. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
SEMA-Auto: Sighted and Efficient Multi-Turn Attack with Autonomy. It centres on Fine-tuning, and also names DeepSeek and GPT. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Unlocking Token Rewards via Training-Free Reward Attribution. It centres on Benchmarks, and also names GitHub. 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.
Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features. It centres on Fine-tuning, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes. It centres on Multimodal, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
Evolve on Graph: Self-Evolving Knowledge Graph Reasoning without Question Annotations. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing. It centres on Fine-tuning, and also names Inference and 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.
doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous Driving. It centres on GitHub, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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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.