Ethan Mollick: The gap between labs' internal models and public models may be widening
AI summary
Ethan Mollick points out that there is currently no effective way to measure the capability gap between a lab's strongest internal model and its strongest publicly released model. He speculates that this gap has continued to widen over the past year, especially after Fable was temporarily banned.
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One thing we don’t have a good measure of is the gap between the capability of the best internal models at the labs and the best released model to the public. I suspect it has been growing quite a bit over the course of the last year, especially after the temporary Fable ban.