Aug 27·edited Aug 27Liked by Tim Hwang

I want to share some related concepts here to help describe this piece of the model of the science and innovation process.

global technological frontier

maps of science, landscape of science

exploratory engineering (by Eric Drexler)

unsolved challenges

futuristic visions (see the Visioneers book) and these examples https://medium.datadriveninvestor.com/futurists-have-never-been-wrong-f1ef4d2674b8

exploring technology system stable domains (states) (by Matt Webb)

goals/challenges (from “Pump” Carpenter to DARPA)

ideal technology (by Pobisk Kuznetsov, Genrih Altshuller and others)

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then we have this frontier of scientific plausibility

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and then we have trajectories of technology development

from tech without science

to technology readiness and the valley of death

then TRTS evolution, logic of tech development

then of course modeling technological progress and the question of predictions (such as described in this article)

the Jeff Funk model of what drives improvement in tech (doesn't cover non-linear complex stuff)

complex interactions (compare https://www.youtube.com/watch?v=cD8vibuQYSs , https://www.youtube.com/watch?v=PikURl7i7ak with https://youtu.be/7UB3SHBaMsw)

progress in tech as solving of contradictions (TRIZ)

Hope this is useful.

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Aug 26Liked by Tim Hwang

Cool! very interesting macro analogy

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Aug 25Liked by Tim Hwang

Great story, great concept. Will be using that in my model of the science and innovation process.

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