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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M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents. It centres on GPT, and also names Claude Code and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Coding — the section covering rounds, valuations, acquisitions and investor moves in AI.
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.
Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning. It centres on Inference, and also names Meta and GPT. 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.
AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards. It centres on Benchmarks, and also names GPT and Claude. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Style, Not Self: Surface Cues Explain Zero-Shot Code Attribution by Large Language Models. It centres on Benchmarks, and also names Claude. 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.
SquidAgent: Parallelize Wisely, Coordinate Efficiently. It centres on AI Safety, and also names Claude Code. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
KAPPA: Checking the Proofs in Statistics Papers with Lean 4 and Language Model Agents. The story centres on Claude Code. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Meta now lets AI agents handle the boring parts of WhatsApp Business setup. It centres on Meta, and also names Model Context Protocol and Claude. Reported by TechCrunch. Bharat Hunt files it under AI Coding and AI Agents — the section covering code generation, developer agents, IDEs and software engineering.
MintEval: Do LLMs Implement the Trading Strategy You Asked For? A Behavioural-Equivalence Benchmark for Natural-Language-to-Strategy Code. It centres on Benchmarks, and also names Claude. 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.
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.
Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition. It centres on Benchmarks, and also names Claude Code. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Tool Recommendation for Multi-Step Agents: Finding Every Tool a Task Needs. It centres on Model Context Protocol, and also names Benchmarks and Claude Code. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Models — the section covering applications people use — assistants, editors, search, productivity.
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.