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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1350 stories
Equivalence testing and run-count design for stochastic machine-learning experiments. 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.
Trajectory-Triggered Sparse Collaborative Decoding. 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.
AWAM: Active Trajectory-Conditioned View Imagination for Robust Robot Manipulation. Reported by arXiv. Bharat Hunt files it under Robotics and Generative AI — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Asking Smarter Questions: Targeted Active Preference Learning for Underspecified Rewards. Reported by arXiv. Bharat Hunt files it under Robotics — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Hitting-Time Bounds for Asynchronous Q-Learning. 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. Open the original report for the full detail.
OrBIT: Structure-Guided Embedding Compression. The story centres on GPT. 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. Open the original report for the full detail.
What AI gets wrong and what failure teaches us. The story centres on Microsoft. Reported by Microsoft Research. 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.
Bringing predictive analytics to the agentic AI era. Reported by MIT Technology Review. Bharat Hunt files it under AI Agents and Enterprise AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Credit Where It Matters: Dependency-Aware Policy Optimization for Terminal Agents. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Coding — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
OptiSelect: How does the Optimizer Shape Data Curriculum? 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. Open the original report for the full detail.
AI-powered app maker Wabi pivots to a messaging experience. Reported by TechCrunch. Bharat Hunt files it under AI Tools and AI Agents — the section covering applications people use — assistants, editors, search, productivity. Open the original report for the full detail.
Dr. OPD: Learning What to Follow for Optimal On-Policy Distillation of Large Language Models. 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.
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.