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 3 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.
696 stories
Model-Based Online Decision Making via Generative Trajectory Planning. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
The Geometry of Inference in Transformer Residual Streams. It centres on Inference, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Google, Nvidia, and Anthropic want Emerald AI to find space on the grid for more data centers. It centres on Google, and also names NVIDIA and Anthropic. Reported by TechCrunch. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
AI chip startup Positron's valuation skyrockets in latest funding round. It centres on Inference, and also names NVIDIA. Reported by The Economic Times. Bharat Hunt files it under AI Funding and AI Hardware — the section covering rounds, valuations, acquisitions and investor moves in AI.
Jalapeño’s first results show industry-leading speed and efficiency in AI inference. It centres on Inference, and also names OpenAI. Reported by OpenAI. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. The story centres on Google DeepMind. Reported by Google DeepMind. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
On Turn-Level Best-of-N Sampling for Scaling LLM Agents. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
Multi-Objective Generative Optimization via Expected Hypervolume Fine-Tuning. It centres on Fine-tuning, and also names Inference. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.
Introducing India-based inference for Kimi K3 on Amazon Bedrock. It centres on Inference, and also names Amazon. Reported by AWS. Bharat Hunt files it under AI in India and AI Coding, and tracks it as India coverage — the section covering india's AI ecosystem — government programmes, institutions, national models.
Distributed training with Ray Train DLCs and EFA on EKS. It centres on PyTorch, and also names Amazon. Reported by AWS. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
China's CXMT to start advanced AI memory production despite poor yields. The story centres on NVIDIA. Reported by The Economic Times. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications. The story centres on Inference. Reported by Hugging Face. Bharat Hunt files it under AI Models — 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
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.