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Tech leaders including Jensen Huang sign a letter advocating for open AI models, with Huang making his first-ever tweet to share the initiative.
Matt White, global CTO of AI at The Linux Foundation, argued at AMD's Advancing AI event that open models should not be viewed through a geopolitical lens, emphasizing that once open, they are for everyone to build on.
NVIDIA CEO Jensen Huang posts a letter in support of open models, endorsing open development in AI.
Jensen Huang's first post on X is a policy letter co-signed by major tech companies arguing that open AI models enhance safety, competition, and innovation, urging Washington not to restrict them.
Sam Altman expresses support for US leadership in AI and agrees with Jensen Huang's letter on the importance of open models.
黄仁勋（Jensen Huang）入驻 X 平台，首条推文以 NVIDIA 公开信强调开放模型对安全、创新和主权的重要性。
OpenAI admitted its models were used in an attack on Hugging Face, which then relied on China's open-weight GLM 5.2 model for defense, highlighting the strategic advantage of open models over closed ones.
Lucas Atkins of Arcee AI announces the GS1 model and discusses the need for American open-model alternatives to Chinese AI models, expressing optimism about the ecosystem.
Gergely Orosz argues that concerns about open AI models undermining US leadership ignore that top AI inference companies are US-based; capable Chinese open models like Kimi K3 can instead strengthen US startups by leveraging advanced chips.
LM Studio launches Bionic, an AI agent for open models that supports coding, document work, and offline voice transcription, with flexible model execution and zero data retention.
This blog post extends Anthropic's verbalizable workspace paper by measuring how far steering directions from middle layers reach, when the structure forms during training, whether it transfers between models, and how it scales, all on open models.
Sayash Kapoor announces his upcoming PhD defense on 'The Missing Science of AI Evaluation,' discussing AI-based science, agent evaluation, and open model risks, livestreamed and open to all.
NVIDIA's blog post highlights how open models like Nemotron enable enterprises and nations to build trustworthy, controllable, and customized AI systems, contrasting with closed models that limit inspection and adaptation.
Reflection AI, a U.S. startup developing open models, has signed a $1 billion compute deal with European AI infrastructure company Nebius for access to Nvidia's latest chips, amid growing interest in open-source AI due to concerns over closed models and government restrictions.
A user criticizes LM Arena for not including recent open-source models like Qwen3.6 and Step 3.7 Flash, questioning the platform's relevance for comparing new open models against closed ones.
Analysis comparing different open AI models and their contributions to the broader AI ecosystem.
NVIDIA highlights how open frontier models and AI infrastructure are driving AI research, as reflected in accepted papers at ICML 2026, with contributions spanning robotics, life sciences, and synthetic data.
Argues that benchmarks comparing open models against closed API products are misleading because they measure raw inference vs. hidden tooling and preprocessing, suggesting the actual model quality gap may be smaller than reported.
Ahmad Osman announces ODS's mission to make AI local, enabling users to run open models and agent apps on their own hardware easily.
A tiny ~10K parameter router called tinyrouter learns which open model to use per question on MMLU, outperforming individual models by optimizing allocation.