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
Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths. 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.
OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images. It centres on AI Safety, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Research — the section covering text, image, audio and video generation — products and their output.
SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and Robotics — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
WARP: A Unified Benchmark for Invisible Image Watermarking -- Robustness and Protection Against Attacks. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
From Training Exposure to Membership Evidence: A Controlled Study of OLMo 2. It centres on Benchmarks, and also names Inference and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Advancing SVD-based LLM Compression via Layer-Wise Error Model Search. It centres on Mistral AI, and also names Llama and Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Reconstruct, Practice, Go Real: Guided Self-Improvement for Embodied Agents. It centres on Benchmarks, and also names Multimodal and GPT. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
STARS: From Spatiotemporal Dynamics to Social Representations in Human-Robot Interaction. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Research — the section covering embodied AI, humanoids, autonomous vehicles and drones.
DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination. It centres on Multimodal, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
GhostPrefix: Synchronization-Free Universal Prefix Attacks for ASR Manipulation. It centres on AI Safety, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Research — the section covering open-weight models, permissive licences and community releases.
Skill-Decoupled On-Policy Expert Distillation for Unified Vision-Language Models. It centres on Inference, and also names Multimodal and Benchmarks. 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.
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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.