SemiAnalysis 批评黄仁勋的开源AI委员会式训练方法，认为它扼杀了创新并导致群体思维。分析表明，与中国的模式类似，实验室之间的独立竞争能促进更大的进步。具体来说，Kimi K3 据称优于 NVIDIA 的 Nemotron 3 Ultra，而 Mistral AI 的参与据称阻碍了 Nemotron 的预训练。作者主张成立独立的竞争委员会，以推动数据、训练和评估方面的进步。 AI
影响 认为独立竞争而非委员会式训练是推进开源AI能力的关键。
排序理由 分析文章批评了一种特定的AI发展策略。
AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →
If Jensen really wants to do committee-based training, he should at least form three different committees that don’t talk to each other to avoid groupthink. These three coalitions should innovate on data, RL, pretraining, and evals independently of each other and compete against
We hear that some of the coalition members are afraid to share their best ideas and best datasets/evals with the coalition, too. It is incredibly clear that committee-based training is not the path forward. 4/5🧵
Furthermore, Mistral messed up Nemotron’s pretraining. Due to the nature of NVIDIA’s single committee, when one member company messes up, it drags down the entire committee, which causes the other members to be upset. 3/5🧵
When Jensen created the Nemotron Committee, it restricted the flow of different approaches and created groupthink, even though open source is all about the ability to experiment freely. Based on the results, the Nemotron Committee is clearly not the path forward for American
Kimi K3 massively beats NVIDIA’s Nemotron 3 Ultra model. If America wants to lead in open-source AI, Jensen should recognize that progress comes from independent labs competing against each other based on the free-market principles of testing different ideas, architectures, and h…