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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Effective Dense Retrieval using Only In-Context Examples. The story centres on GitHub. 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.
Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
WorldSolver: Can LLM Agents Simulate the Physical Dynamics via Solver Generation? It centres on Benchmarks, and also names GPT and Claude. Reported by arXiv. Bharat Hunt files it under AI Coding and Robotics — the section covering code generation, developer agents, IDEs and software engineering.
GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions. It centres on Benchmarks, and also names Claude Code. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Audit Where Hacks Pay: Budgeted Strong-Verifier Audits Against Reward Hacking in GRPO. 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.
DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery. It centres on Benchmarks, and also names Qwen. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
3DCodeVerse: Exploring 3D Worlds as Code. It centres on Fine-tuning, and also names Claude. Reported by arXiv. Bharat Hunt files it under AI Coding and Open Source AI — the section covering code generation, developer agents, IDEs and software engineering.
PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis. It centres on Multimodal, 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.
Cross-sector generalization of accident-process role classification in occupational accident narratives. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Research — the section covering code generation, developer agents, IDEs and software engineering.
Resource-Adaptive Stochastic Gradient Descent for Online Linear Programming without Re-solving. The story centres on Inference. 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.
Hierarchical Skill Evolution for Coding Agent. It centres on Claude Code, and also names GPT and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — 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
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.