# Stability AI 创始人回顾：公司算力曾主要用于构建开源 LLM，但未走捷径

- 来源：Emad (@EMostaque)
- 发布时间：2026-07-20 08:15
- AIHOT 分数：55
- AIHOT 链接：https://aihot.virxact.com/items/cmrsi5qoz098ebiwmtctidg8f
- 原文链接：https://x.com/EMostaque/status/2078997251700240619

## AI 摘要

Stability AI 创始人 Emad Mostaque 回顾，公司当时大部分算力用于构建开源 LLM，但未选择继续训练 GPT-J 等简单路径，且因安全顾虑和过多改动而受阻。他认为 Mistral 和 Meta 率先推出高质量开源 LLM，随后中国厂商主导。Emad 认为 OpenAI、Anthropic 本应发布优秀的边缘开源模型并聚焦社区对齐，这或许更安全。

## 正文

Around this time the majority of compute at Stability AI was being used on building open LLMs but：

1. We didn't do the easy thing of training GPT-J / Neo-X more （pre chinchilla！）

2. Couldn't make it safe / tried to do too many changes to formula （Pile 2， Reddit crawls etc）

We succeeded in building sota/frontier models of other all types that worked on the edge； but LLMs really were difficult to get working in consumer hardware then & even harder to do "right"

In the end Mistral & Meta got the first wave of good quality open LLMs before the Chinese took over

I honestly think OpenAI， Anthropic etc should have released really good quality edge open models with community interaction focused on how best to align these

Lots of lessons to learn & Sam is right that it would almost have been safer given the better underlying datasets they had by then plus early RL.

Also that it would have dried up some of the funding environment but..

### 引用推文

> Internal Tech Emails：Sam Altman emails OpenAI board October 1, 2022