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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160 stories
Microsoft pushes AI vision with new, expensive Surface laptop. It centres on Microsoft, and also names 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.
Automattic’s 33-Hour Coup, and can AI labs police themselves? It centres on Anthropic, and also names Dario Amodei and NVIDIA. Reported by TechCrunch. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod. It centres on NVIDIA, and also names Benchmarks and Amazon. Reported by AWS. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply.
NVIDIA Confidential Computing Expands, Enabling Frontier Model Builders to Securely Scale Across Global Infrastructure. The story centres on NVIDIA. Reported by NVIDIA. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
AI firms should not get regulatory waivers, says Nvidia CEO Jensen Huang. It centres on NVIDIA, and also names Jensen Huang and OpenAI. Reported by The Economic Times. Bharat Hunt files it under Open Source AI and AI Hardware — the section covering open-weight models, permissive licences and community releases.
Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models. It centres on Data Centers, and also names NVIDIA. Reported by NVIDIA. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply.
The Token-Energy Law of LLM Decode: Active Bytes and Realized Time Account for Joules per Token. The story centres on NVIDIA. Reported by arXiv. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply.
Architecting for Hardware Diversity: Meta's End-to-End Co-Design for High-Performance AI Training on AMD GPUs. It centres on Meta, and also names AMD and NVIDIA. Reported by arXiv. Bharat Hunt files it under AI Hardware and AI Research — the section covering chips, accelerators, data centres, on-device inference and supply.
Sequoia-backed chip startup Nuvacore raising funds at about a $2.5 billion valuation. It centres on Anthropic, and also names Claude and NVIDIA. Reported by The Economic Times. Bharat Hunt files it under AI Hardware and AI Funding — the section covering chips, accelerators, data centres, on-device inference and supply.
EAServe: Encode-Aware Disaggregated Serving for Multimodal Large Language Models. It centres on Multimodal, and also names NVIDIA and vLLM. Reported by arXiv. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
BitMTP: When Multi-Token Prediction Meets Low-Bit Large Language Models. It centres on AI Safety, and also names NVIDIA and GitHub. 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.
Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS. The story centres on NVIDIA. Reported by Hugging Face. Bharat Hunt files it under Open Source AI and Enterprise AI — the section covering open-weight models, permissive licences and community releases.
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.