That's the best "what is ANE, really?" investigation / explanation I've seen. Directly lays out why LLMs aren't an ideal fit, its "convolution engine" architecture, the need for feeding ANE deep operation sequence plans / graphs (and the right data sizes) to get full performance, the fanciful nature of Apple's performance claims (~2x actually achievable, natch), and the (superior!) hard power gating... just _oodles_ of insight.