主题：【原创】围绕脑科学而发生的若干玄想 -- 鸿乾

1.

self-aware: an important concept, thanks, and I read his blog a little bit.

penrose and Louis Del Monte, and others all talked about "self-aware" aspect of 人类 "聪明" vs AI.

in analogy, "self-aware" and "self-correction" of 人类 "聪明" vs AI Robot is like 高阶 logic system vs 低阶logic system;

although there are many 高阶 logic system in terms of math, fundamentally "a 高阶 logic system" is a physics challenge:

can an human made physics system know how to survive a 高阶 disturbance, and where is the border of that 高阶 disturbance, in terms of system's survival?

or in terms of 相变, can a physics system know which 相 to jump into, if it has to 革自己的命 (almost like TGchina, relevant(:)?)

obviously, we are getting into quantum physics, etc.

quantum physics "bottle neck": 纳米材料 etc breakthrough, very hard; otherwise, 宏观量子效应, quantum computer etc=theoretical concepts;

before that "break through", now AI is doing "self-aware" "self correction" in "math" software, basically monte carlo simulation/big data, still a huge potential: we barely started.

2.

so far, I have not seen any areas where it does not make sense at all, in terms of borrowing some physics ALGO to help figuring out the game;

those borrowed physics ALGOs all run "under the hook", much like a software engineer does not have to learn quantum physics to understand how a semi conductor becomes a computer hardware