I loved the Southern Reach trilogy but didn't finish TINAD. I thought the premise was pushed too far and that less would've been more. OTOH the atmosphere of oppressive bureaucracy of Authority is still one my all time favorite scifi reads.
This is actually exactly what happened during the Kyle Rittenhouse case. A lawyer for the defense tried to question video evidence because of AI being used to enhance zoomed shots.
I experienced something like this recently. I struggled to grasp linear algebra when I took it in undergrad and as a result was always intimidated by the subject. Now, years later, I'm taking a course in graphics and naturally needing to relearn linear algebra and suddenly everything just clicks.
There was a recent story about the Air Force trying to kill off one of their most cost effective aircraft, whether that's evidence of a "fighter mafia" or not is debatable, but it does show the USAF's proclivity for expensive high-tech over cost effective platforms.
My understanding of the use of FPGAs and ASICs that are used to speed up neural networks (such as those in phones) is that they are simply designed to do the types of calculations used for NNs more quickly (matrix operations) and generally at a reduced level of precision.
This is very different from a memristor approach where the structure of the network itself would be represented in the silicon.
I also think it's unfair to compare the two because it took decades of work to get CMOS transistors to where they are today. I imagine that once commercial applications for memristors appear many optimizations/improvements will present themselves.