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.
Updated 2 hours ago114 stories in the last 24 hours
171 stories
Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
China’s Z.ai disables AI coding assistant features after security issue. The story centres on Z.ai. Reported by The Indian Express. Bharat Hunt files it under AI Coding and AI Tools — the section covering code generation, developer agents, IDEs and software engineering.
Loopholing All the Way: Language Modeling with pure Self-Conditioning. It centres on Fine-tuning, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Funding — the section covering code generation, developer agents, IDEs and software engineering.
Knowledge Distillation across Item and Code Spaces for Parallel Generative Recommendation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
LACToS: Local Anomaly Detection via Conditional Typicality of Superpixels. It centres on Benchmarks, and also names Multimodal and GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Reinforcement Learning with Multi-Step Transition Predictions: A Bellman Theory. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Research — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Behavioral Couplings: From Formation to Behavioral Emergence in Language Models. It centres on Fine-tuning, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Beyond SAEs: Consistent Concept Discovery with Sparse Coding. 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.
CodeMidas: Scaling Agentic Coding RL Environments from Code Itself. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Agents — the section covering code generation, developer agents, IDEs and software engineering.
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
TokenRouter: Efficient Serving System for Token-Level LLM Routing. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
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.