NVIDIA@nvidiaAI 评分2222整个行业都将建立在开放模型之上。 开发者需要构建它们的自由。 @JensenHuang 谈为何保持这些模型的开放与可及至关重要。
#开源生态
- NVIDIA@nvidiaAI 评分2222
MIT Technology Review · AIAI 评分4040 开放模型利与弊：Anthropic 称 GLM-5.3 构成重大网络攻击风险，开放与闭源之争何去何从
Anthropic 发布报告称，Z.ai 于 8 月发布的开放权重模型 GLM-5.3 可被任何人自由下载和修改，构成重大网络攻击风险。开放模型支持者认为其可本地运行、成本更低、便于学术研究并防止权力集中，而 Artificial Analysis LLM 排行榜前八名目前仍均为闭源模型。
Mira Murati@miramuratiAI 评分4242我们分享了对开放权重发布的思路、我们如何评估 Inkling、为什么安全取决于模型及其所进入的生态系统、以及测试、分阶段访问和更强的防御如何能开辟一条通往更大开放度的道路。
引用Thinking Machines@thinkymachinesReleasing weights indiscriminately isn't safe. Neither is keeping capable models inside a few labs. We think there's a path between them. We haven't mapped all of it. Our new post covers the part we can see: how we assessed Inkling, and why access should widen in stages. https://thinkingmachines.ai/blog/a-safe-path-to-open-weights
- Mira Murati@miramuratiAI 评分2222
让 AI 变得有用的知识是分散的。它存在于科学家、工程师、临床医生和企业之中。要让 AI 从分布式知识中受益，它自身也必须是分布式的。同意 Jensen 的观点，这是一个值得建设的未来。
引用Jensen Huang@JensenHuangFor my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. https://images.nvidia.com/pdf/Open-Weights-and-American-AI-Leadership.pdf