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We have been having extensive discussions around open source strategy. We will discuss it more at our next board meeting, but one thing we’d like to do soon is to create a language model with the approximate capability of GPT-3 that can run locally on consumer hardware and release that. We’d like to do it soon, before Stability or someone else does. In general, we think this helps discourage others from releasing similarly-powerful models, and makes it harder for new efforts to get funded.
— Sam Altman, Email to OpenAI's board, October 1, 2022 - exposed in Musk v. Altman (2026)
Tags: ai-ethics, sam-altman, generative-ai, openai, ai, llms
![Screenshot of a Mermaid diagram editor showing source code and rendered flowchart. The code reads: graph TD Start[Request received] --> Auth{Authenticated?} Auth -->|yes| Rate{Rate limit OK?} Auth -->|no| R401[401 Unauthorized] Rate -->|yes| H(Handle request) Rate -->|no| R429[429 Too Many Requests] H -.-> Log[Audit log] H ==> Resp[200 OK]. Below the code are controls labeled Max width: Fit output panel, Copy as text, and Copy link to this diagram. The rendered flowchart on a dark background flows top-down: Request received leads to Authenticated?, which branches yes to Rate limit OK? and no to 401 Unauthorized. Rate limit OK? branches yes to Handle request and no to 429 Too Many Requests. Handle request connects with a dotted arrow to Audit log and a thick arrow to 200 OK.](https://static.simonwillison.net/static/2026/grok-mermaid-wasm.png)
