Episode Details

When Anthropic releases Claude Opus, Sonnet, and Haiku together, or when OpenAI ships GPT-4o alongside GPT-4o mini, the naming makes them look like three sizes of the same model. But that's an illusion. In this episode, we trace how DeepSeek, OpenAI, and Anthropic actually maintain their model families — from separate training runs and architectural decisions to bespoke post-training pipelines. The shared ingredients are research direction and data infrastructure, not model weights. If you're building pipelines that assume smooth degradation from flagship to budget model, you're in for surprises. Episode #372945 — open it directly at myweirdprompts.com/372945