There are use cases that don’t align with OpenAI/Anthropic’s business model, which is to always use more tokens to get better. As the models improve they become

There are use cases that don’t align with OpenAI/Anthropic’s business model, which is to always use more tokens to get better. As the models improve they become way more expensive, with order of magnitude increases in price. I think there is a lane for detecting what can and should be deterministic after doing it a few times, and making it concrete so you don’t just burn tokens every time.