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.
Ingestion is behind — last completed run was 11 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
Meta says its new AI models on par with OpenAI, Anthropic. It centres on Meta, and also names OpenAI and Anthropic. Reported by The Economic Times. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents. It centres on Benchmarks, and also names GPT and RAG. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
OpenAI takes on Microsoft with the launch of what feels a whole lot like ChatGPT’s own office suite. It centres on OpenAI, and also names Microsoft and GPT. Reported by TechCrunch. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Training Small Language Models for Transferable Tool Selection. It centres on Claude, and also names GPT and Llama. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.
Forty Questions: Identifying a Language Model from One-Word Answers. It centres on Gemma, and also names Llama and Grok. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents. It centres on Benchmarks, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models. It centres on Reasoning Models, and also names GPT and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.
RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents. It centres on Benchmarks, and also names 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.
On the Impact of Anonymization on the Performance of Large Language Models. It centres on Benchmarks, and also names GPT and Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
Trapped in Your Story: Evaluating Narrative-Induced Sycophancy in Large Language Models. It centres on Benchmarks, and also names 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.
GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI. It centres on Reasoning Models, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Bridging the Language Gap in Scholarly Data II: Enhancing Gender Inference for Chinese Names. It centres on Inference, and also names GPT and Claude. 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.
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.