I can imagine this being useful for implementing classifiers and little baby GenAI-adjacent tech on an extremely tiny scale, on the order of several hundred or several thousand transistors.

Example: right now, a lot of the leading-edge biosensors have to pull data from their PPG/ECG/etc chips and run it through big fp32 matrices to get heart rate. That's hideously inefficient when you consider that your data is usually coming in as an int16 and resolution any better than 1bpm isn't necessary. But, fp32 is what the MCU can do in hardware so it's what you gotta do. Training one of these things to take incoming int16 data and spit out a heart rate could reduce the software complexity and cost of development for those products by several orders of magnitude, assuming someone like Maxim could shove it into their existing COTS biosensor chips.