Recursive self-improvement may not begin with models training models. It can also begin in the infrastructure those models depend on.
This AI on Air clip is excerpted from a recent episode on the
@MatthewBerman channel. The main speaker is Thibault Sottiaux
@thsottiaux, Head of Core Product and Platform at
@OpenAI.
▷ Thibault says models can already help improve the inference stack, hardware, CUDA kernels, and more efficient product interactions. Each sits on the critical path for getting value from a model.
▷ Capabilities such as cloud agents can first increase the utility people receive from models, then direct that added capability back toward improving the system. That is also a form of recursive improvement.