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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5345 stories
Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under Open Source AI — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Funding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments. Reported by arXiv. Bharat Hunt files it under Robotics and AI Coding — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
WOVEN: Weaving Visual World Modeling into Multimodal LLMs. It centres on Multimodal, and also names Benchmarks and GPT. 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.
MAMHOI: Factorizing Scene-Aware Human-Object Interaction through Affordances. 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. Open the original report for the full detail.
Predicting Alignment Generalization with Value Representations. It centres on AI Safety, 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.
Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
LeWAM: A JEPA World Action Model with Diffusion-Steering-Based MPC. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
ViSkill: Reinforcing VLM Agents with Evolving Visual-Native Skills. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Open Source AI and Computer Vision — the section covering open-weight models, permissive licences and community releases.
SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models. It centres on Benchmarks, and also names Inference and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
HRIL: Learning Multimodal Synergy via Higher-Order Tensor Modeling. It centres on Multimodal, and also names Benchmarks 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.
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
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.