What an intelligent bird's-eye view of the problem. Thank you. I love the perspective, you kind of blend the evolution of simple bits at the hardware level (inc

What an intelligent bird's-eye view of the problem. Thank you. I love the perspective, you kind of blend the evolution of simple bits at the hardware level (increasingly lots of them, but nonetheless "known category of applications") with complex high-level software space. The clarity, looking forward, is greatly improved through this lens. That last paragraph confirms my own vision for the next cycle, the next decade or so. About "remaining apps": the current cycle of ML, post-parallism (GPUs, DL, etc. since early 2010s) is imho one such candidate for transformative computing, where like vapor or hydrocarbons or electricity, computing lends itself to enabling a whole new category of 'machines', of tools. That's really interesting (just not the end-all be-all some seem to think, but a whole new solution space to build upon). I guess robotics is a fitting candidate as well (insofar as interacting with real physical objects changes everything) but we are many years away from commercially-viable solutions, afaik. I also like to think there are (potentially transformative) social or behavioral use of compute-enabled machines that we haven't scratched much yet. Areas of life/civilization generally too complex to be brute-forced or even fully modeled, like biology and health, or the more advanced social behaviors (topics best described by Shakespeare, Tocqueville, Stephen Covey, Robert Greene...); or things we 'just' need to brute-force e.g. life-like graphics/VR or seamless/ambient/'augmented' computing/reality. Some of these may be in for the taking during the next cycle or two.