Poolside的AGI竞赛:Model Factory、Laguna S与开源模型

Poolside’s Race to AGI: Model Factory, Laguna S, Open Models, & Beyond MCP https://t.co/V9cICBXMmA ...

精选理由

讲Poolside怎么用Model Factory快速做模型,Laguna S的思路,以及他们看好更多基础模型公司。

AI 摘要

Poolside联合创始人兼CEO在播客中解释为何编程是通往AGI的路径。他们的Model Factory每月运行1万-2万个实验,八周内完成新模型迭代。Laguna S模型表明持久性和验证能力可能比原始智能更重要。智能体已经在帮助构建下一代模型。他认为未来应有100家基础模型公司而非5家。

图片来源 · Latent.Space
原文 · Latent.Space

Poolside’s Race to AGI: Model Factory, Laguna S, Open Models, & Beyond MCP https://t.co/V9cICBXMmA ...

Poolside’s Race to AGI: Model Factory, Laguna S, Open Models, & Beyond MCP latent.space/p/poolside @poolsideai co-founder and CEO @eisokant explains why coding is the path to AGI, how Poolside’s Model Factory runs 10,000–20,000 experiments a month and turns new models around in as little as eight weeks, why Laguna S suggests persistence and verification may matter more than raw intelligence, why agents are already helping build the next generation of models, and why the future should have 100 foundation model companies not five. Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 1 ❤️ 4 👀 912 📊 2 ⚡

Poolside的AGI竞赛:Model Factory、Laguna S与开源模型 · AI 热点