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.
Ingestion is behind — last completed run was 10 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
4537 stories
HarnessPro: Recursive Harness Self-Improvement with Pareto Optimization for Performance-Cost Trade-offs. It centres on GPT, and also names Claude Code and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Agents — the section covering a new or updated model, its capabilities, benchmarks or availability.
On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination. Reported by arXiv. Bharat Hunt files it under AI Models and Enterprise AI — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models. The story centres on Whisper. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem. It centres on Model Context Protocol, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Grow the Harness, Not the Context: From Strategy-Free Scaffolds to Reusable Specialist Agents. It centres on Benchmarks, and also names Inference. 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.
When Do LLMs Help with Feature Selection? A Systematic Empirical Study. It centres on Benchmarks, and also names Llama and Qwen. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Terminal X matches senior investor judgment 88.6% with GPT-6.1. The story centres on GPT. Reported by OpenAI. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Type-Safe Is Not Error-Free: A Constrained Decision Head Follows the Option Name, Not the Rubric Bound to It. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
Google’s $899 Googlebook is a bet that you’ll buy a new laptop for Gemini. It centres on Google, and also names Gemini and Cursor. Reported by TechCrunch. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Expanding OpenAI Academy with new learning paths. The story centres on OpenAI. Reported by OpenAI. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Learning Computational Structure for Sample-Efficient Prediction. The story centres on Benchmarks. 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.
Steertuning Policies from a Few Human Videos. 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. 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
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.