Nvidia Agrees to Acquire Hugging Face for $12.9 Billion
Nvidia will buy the open-source AI platform Hugging Face for close to $13 billion, pledging to keep it open, multi-cloud, and free of any requirement to use Nvidia chips.
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Open-source AI refers to models whose weights are released publicly, letting anyone run, study, or customize them without paying API fees. This hub covers open-weight model releases, the labs behind them, and the debate over openness in AI.
Nvidia will buy the open-source AI platform Hugging Face for close to $13 billion, pledging to keep it open, multi-cloud, and free of any requirement to use Nvidia chips.
Read more →Tencent's Hunyuan team open-sourced Hy4 preview, a 770-billion-parameter model with a 1-million-token context window, joining China's fast-moving open-weight AI race.
Read more →Nvidia has released Nemotron 3.5 Lightning, an open 30-billion-parameter AI agent model, plus NeMo Switchyard, a router that cuts task costs to about a third of using Opus 4.8 alone.
Read more →River AI, a startup founded by former xAI leader Igor Babuschkin, has raised $1.1 billion to let users train and own their own AI models instead of renting access to closed ones.
Read more →Y Combinator released QM, an MIT-licensed tool it built to run AI agents across its own accounting, legal, and engineering teams, so any company can now self-host it.
Read more →DeepSeek's official V4-Flash-0731 release outperforms its larger V4-Pro model on coding and agent benchmarks, despite activating far fewer parameters per token.
Read more →LG AI Research released K-EXAONE 2.0, a 750-billion-parameter open-weight model under the Apache 2.0 license, aiming to rival Chinese and US frontier AI labs.
Read more →Tech giants keep banding together into named AI coalitions. Here's what these voluntary alliances actually do, how they differ from regulation, and why they matter.
Read more →Anthropic CEO Dario Amodei said in a July 27 blog post that the company has never called for banning open-weight AI models, urging chip controls and mandatory safety testing instead.
Read more →Ant Group's Ling-3.0-Flash matches models several times its size on reasoning and coding benchmarks using just 5.1 billion active parameters, the company says.
Read more →Beijing-based Moonshot AI has published the full open weights for Kimi K3, a 2.8-trillion-parameter model it calls the largest open model released to date.
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Poolside is a startup that builds AI models trained specifically to write and fix code, then gives the weights away for free. Here's who is behind it and how the models work.
Read more →Poolside's new 118-billion-parameter Laguna S 2.1 matches or beats far larger rivals on agentic coding benchmarks and ships under an open license.
Read more →Nvidia CEO Jensen Huang used his first-ever X post to unveil a letter — now signed by 50 firms including Google, Meta and OpenAI — urging Washington not to restrict open-weight AI models.
Read more →APEC ministers from the US, China and 19 other Asia-Pacific economies adopted the Chengdu Statement on July 23, backing open-source AI paired with stronger security safeguards.
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Mistral AI is the Paris-based lab racing to build Europe's answer to OpenAI and Anthropic — known for releasing open-weight models and for its 'sovereign AI' pitch to European governments.
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Hugging Face is the open platform where most of the AI industry shares, hosts, and downloads models, datasets, and demo apps — often called the "GitHub of machine learning."
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Kimi K3 is a giant open-weight AI model from China's Moonshot AI. Here's what it is, who built it, and why its release rattled Nvidia and chip investors.
Read more →China's Moonshot AI released Kimi K3, a 2.8-trillion-parameter open model with a 1-million-token context window — a system the company calls the world's first open 3-trillion-class AI model.
Read more →PrismML has released Bonsai 27B, a 27-billion-parameter open-weight model compressed to under 4GB, small enough to run natively on a phone while keeping most of its reasoning ability.
Read more →Mira Murati's startup released Inkling, a 975-billion-parameter open-weight model built for developers to fine-tune and adapt, rather than to top leaderboards.
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