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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5193 stories
Scaling Neural Motor Decoding via Decoupled Behavioral Pretraining. 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.
The Geometry of Simulated Perspectives: Dissociating Representation and Behaviour in a Multimodal Language Model. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Value-oriented policy distillation for interpretable wind farm power control. 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.
Terminal-style Mathematical Modeling Bench: The First Agentic and Verifiable Benchmark for Mathematical Modeling. It centres on Benchmarks, and also names Multimodal and GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Signals, Evidence, and Context: User Scrutiny in Real-World LLM Conversations. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Research — the section covering applications people use — assistants, editors, search, productivity. Open the original report for the full detail.
From Twisted Facts to Rogue Agents: Can LLMs Reliably Detect Multi-Dimensional Hallucinations? It centres on Benchmarks, and also names 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.
"Blind Compliance": Coercive Control in AI Jailbreaking. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Regulation and Generative AI — the section covering law, policy, courts, standards and government positions on AI.
Agent-R$^2$: Scaling Agents for Realistic Productivity Work via Real-Source Data Synthesis. It centres on Benchmarks, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Agents — the section covering applications people use — assistants, editors, search, productivity.
Route First, See Later: Enabling Vision Agents to Reason Scientifically by Separating Routing Policy from Action Spaces. It centres on Benchmarks, and also names Qwen. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
EvoWorld: Towards Out-of-Sight World Evolution in Generative Video Models. 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. Open the original report for the full detail.
TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing. It centres on Inference, and also names Flux and Qwen. 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.
Smartphone-Aided VR Exergames for HIIT: Gamifying Fitness with Real-Time Pose Estimation. It centres on Model Context Protocol, and also names Anthropic and GPT. 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.
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.