Comment by mentalgear
3 days ago
For one, they are decades old, you can inspect exactly how they flow, are (mostly always) deterministic (given error-correction algorithms) but mostly: the theory behind them is well understood - it had to be before building the hardware. Whereas in ML/"AI" theory is about 20 years behind applied practice - because you can implicitly train something on data and rewards, without exactly knowing how its internal works - leaving interpretablitity and determinism.
To do that you'd have to watch and verify a chip going through the entire manufacturing process.