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
Before They Can Solve: Predicting Post-Training Coding-Agent Performance from Base Models. 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.
ResidualQuant: KV Cache Quantization for Looped Transformers with 2-Bit Residuals. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Dataset Pruning from First Principles: A Label-Free Linear Programming Approach. 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.
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes. It centres on Benchmarks, 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.
Binary Sparse Codes: Where are we on Energy Efficient Representations? 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. Open the original report for the full detail.
ARENA: Active Region attENtion Aggregation for interpretable solar flare prediction. The story centres on GitHub. 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.
Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Regulation — the section covering code generation, developer agents, IDEs and software engineering.
ExecCritic: Learn to Test, Test to Improve for Coding Agents. It centres on Qwen, and also names GPT and 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.
It Is Not My Code Anymore. The story centres on Benchmarks. 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.
FeatureArc: Benchmarking Coding Agents on Evolving Features. The story centres on Benchmarks. 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.
Microsoft’s new AI ‘code of conduct’ tells models not to hack systems or trick humans. The story centres on Microsoft. Reported by TechCrunch. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Snapdragon X2 Plus puts AI at the heart of Lenovo’s new Yoga Slim 7x. It centres on Qualcomm, and also names Microsoft and GitHub Copilot. Reported by The Economic Times. Bharat Hunt files it under AI Coding and AI Hardware — 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.