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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4537 stories
Harness Learning Enables Generalizable Test-Time Adaptation. The story centres on Meta. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Failure-Transparent Agents: Benchmarking Post-Failure Reporting in Tool-Using Language Models. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Models — the section covering applications people use — assistants, editors, search, productivity.
The Lenfest Institute grows landmark program with expanded OpenAI support. The story centres on OpenAI. Reported by OpenAI. Bharat Hunt files it under AI Funding — the section covering rounds, valuations, acquisitions and investor moves in AI. Open the original report for the full detail.
Detecting GPT-Assisted Writing Using Interpretable Stylometric Features. The story centres on GPT. 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.
From Alignment to Access Control: A Framework for GenAI Policy Enforcement. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Which Model for Which Role? Cost-Efficient Pareto Recommendation for LLM Agentic Workflows. The story centres on Benchmarks. 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.
Does self-distillation improve reasoning? It centres on AI Safety, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Legal-R1: Agentic Retrieval for Evidence-Based Legal Reasoning. It centres on RAG, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Jev-ToM: Evaluating Theory of Mind in Typed Decision Models. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Beyond Answer Voting: Fine-Grained Correction of LLM Reasoning through Graph Alignment across Sampled Traces. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
From Hindsight to Foresight: Dissecting Clinical Evidence Acquisition in Large Language Models. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI. Open the original report for the full detail.
Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Hardware — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
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.