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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515 stories
Sam Altman’s biometric startup to help banks verify AI agents: How will it work? The story centres on Sam Altman. Reported by The Indian Express. Bharat Hunt files it under AI Agents and AI Startups — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
LEASH: Uncertainty-Aware Weak-to-Strong Escalation and Oversight for Computer-Use Agents. It centres on Claude, and also names Inference. 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.
X-RIC: An Agentic RAN-Intelligent Controller Benchmark for Enhancing Reinforcement Learning. The story centres on Benchmarks. 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.
AI services may account for almost half of Infosys' work in 2-3 years: CEO Salil Parekh. The story centres on Infosys. Reported by The Economic Times. Bharat Hunt files it under AI Agents and AI Coding, and tracks it as India coverage — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Disagreement-Guided Weak-to-Strong Routing. The story centres on Inference. 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. Open the original report for the full detail.
Unsecured OpenAI agents posted 53 user images on the internet without the lab’s knowledge. The story centres on OpenAI. Reported by TechCrunch. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration. It centres on Benchmarks, and also names DeepSeek. 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.
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning. It centres on Fine-tuning, and also names Meta. 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.
Mosaic: Multi-Session Agentic Reinforcement Learning. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
MolLean: A Process-Verifiable Language for Chemical Reasoning. It centres on Reasoning Models, and also names Model Context Protocol. 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.
DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education. It centres on GPT, and also names Inference and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Hardware, and tracks it as India coverage — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
On the possibilities and limitations of LLM-based multi-agent systems for multi-criteria decision-making in healthcare operations management. 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.
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.