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 19 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.
38 stories
DeepSeek to raise at least $12 billion in Tencent-backed funding. The story centres on DeepSeek. Reported by The Economic Times. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI.
Deepseek raises $15 billion in challenge to leading US labs. The story centres on DeepSeek. Reported by The Economic Times. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI.
AECP: Artifact-Exclusive Communication Protocol for Multi-Agent Code Generation. The story centres on DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Agents — the section covering code generation, developer agents, IDEs and software engineering.
DeepSeek partners with Huawei to develop chip programming tools, reducing reliance on Nvidia. It centres on DeepSeek, and also names Reliance Jio and NVIDIA. Reported by The Economic Times. Bharat Hunt files it under AI Hardware and AI Coding, and tracks it as India coverage.
US banning Chinese AI DeepSeek from government agency IT systems. The story centres on DeepSeek. Reported by The Economic Times. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Can LLMs Catch a Rigged Backtest? A Clean-Control Calibration Benchmark. It centres on Benchmarks, and also names DeepSeek. 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.
When Agents Fail: Model or Harness--Who's to Blame? It centres on Benchmarks, and also names Multimodal and DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Models and AI Agents — the section covering a new or updated model, its capabilities, benchmarks or availability.
Can Language Models Play the Wikipedia Game? It centres on Benchmarks, and also names GPT and DeepSeek. 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.
Anthropic details distillation campaigns from Alibaba, Moonshot AI, and DeepSeek. It centres on Anthropic, and also names Alibaba and Moonshot AI. Reported by TechCrunch. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
BRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models. The story centres on DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
SPARE: Sparsity Allocation via Routing Entropy for Efficient MoEs. It centres on Mistral, and also names DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Mistral Says Its AI Model ‘Le Chonk’ Has Leapfrogged China in the Open-Weight Race. It centres on Mistral AI, and also names DeepSeek and Z.ai. Reported by WIRED. Bharat Hunt files it under AI Models and Open Source AI — 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.