One reason to take these expected cost reductions more seriously is because it DOESN'T fit the desired narrative for OpenAI. Ideally, from a front-runner compet

One reason to take these expected cost reductions more seriously is because it DOESN'T fit the desired narrative for OpenAI. Ideally, from a front-runner competition perspective, it would NOT be possible to create the same level of quality at < 1/10 the cost/energy within a year. But, distillation and other approaches seems to make this possible. There is a LOT of room for optimization with LLMs.