LG Launches K-EXAONE 2.0, South Korea's Largest Open AI Model
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 →Every AI News story tagged with both Open-Source AI and Open-Weight Models — the two topics side by side, updated as new articles publish.
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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 →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 →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.
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.
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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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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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DeepSeek is the Chinese AI lab whose cheaply trained, open-weight models triggered Nvidia's biggest one-day stock drop and reshaped how the industry talks about AI costs.
Read more →Meta now builds two separate AI model families: the open-weight Llama and the new proprietary Muse. Here's how they differ, and how to try either one.
Read more →GLM is the open-weight AI model family from Chinese lab Zhipu AI (Z.ai) — free to download and self-host, and competitive with top US models at a fraction of the API cost.
Read more →Z.ai has released GLM-5.2, a 744-billion-parameter open-weight model that matches GPT-5.5 on key benchmarks and trails Claude Opus 4.8 narrowly — trained entirely on Huawei silicon with no Nvidia hardware.
Read more →Mistral's new open-source model for Lean 4 fully saturates the miniF2F theorem benchmark, solves 87% of graduate-level math tests, and found five previously unknown bugs in production code — at roughly $4 per proof versus $300 for competing systems.
Read more →Chinese technology company Meituan has released LongCat-2.0, a 1.6-trillion-parameter coding model trained entirely on domestic Chinese chips, under the MIT License — the first frontier-class open-source model built without Western semiconductors.
Read more →Open-weight AI models release their trained parameters publicly so anyone can download, run, or fine-tune them — unlike closed models such as GPT-4 or Gemini, which are accessible only through paid APIs. Here is what that difference means in practice.
Read more →Qwen (Tongyi Qianwen) is Alibaba Cloud's family of open-weight AI models — covering language, code, vision, audio, and more — and the world's most-downloaded AI model series as of 2026.
Read more →Liquid AI released LFM2.5-230M, a 230-million-parameter open-weight model that runs AI agent tasks at 213 tokens per second on a phone CPU and 42 tokens per second on a Raspberry Pi — without a cloud connection.
Read more →Chinese lab Zhipu AI has open-sourced GLM-5.2, a 753-billion-parameter model that outperforms GPT-5.5 on software engineering benchmarks while costing roughly one-sixth as much.
Read more →Alibaba's Qwen team has released Qwen-AgentWorld, a family of open-source language world models that predict how digital environments respond to AI agent actions, with its 397B variant outscoring GPT-5.4 on the new AgentWorldBench benchmark.
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