> CfCs could bring value when: (1) data have limitations and irregularities (for example, medical data, financial time series, robotics and closed-loop control, and multi-agent autonomous systems in supervised and reinforcement learning schemes, (2) the training and inference efficiency of a model is important (for example, embedded applications) and (3) when interpretability matters.

Something akin to the cerebellum it seems. It is better suited for continuous motor control (and some other tasks). Yet another component for the human-level AI.

My 50% AGI estimation went down from 2033 to 2030