<https://www.youtube.com/watch?v=id1WShzzMCQ>
# linking-together
m

https://www.youtube.com/watch?v=id1WShzzMCQ

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s
I emailed Alan after these talks! we had some great email convos
c
Imagine a MOOC or something where these Ideas could be transferred. I think at some point such an attempt existed (I know of only this one) But basically its very hard to setup a education structure to support thinking in ways Alan proposes. Because society will only (easily) give structures of education to sustain the current type of society. So its really a curious case that Xerox happened. Alan is giving talk over and over how they did it at Xerox park but there is always a meta frame or perspective missing so I doubt that something like it will be recreated by efforts of allen., I think it could/will be rediscovered by accident but its rather unlikely
m
would be interesting to see why HARC didn't work and to follow Google X closer
s
I have lots of thoughts here! 1st, I recommend everyone here read this great book: https://www.amazon.com/Scientific-Freedom-Civilization-Donald-Braben/dp/0578675919
Second, I think HARC had a long-term utopian vision. Sam Altman / YC president at the time helped them transition out of SAP and into YCR, but ultimately left to run OpenAI. Sam’s openly said that he has a mental model for how to fund things that eventually can be commercialized (even if its a long ways down the road) but no idea how to fund things that can likely never be commercialized.
R&D labs that invent things to be commercialized down the road loosely kinda work. But historically, really only the government could create academia and a culture of doing research for the pursuit of knowledge / for its own sake / to benefit the general public.
I can’t really think of any successful examples of long term visionary research groups that have 0 intention of commercialization // aren’t wrapped in a commercial environment of some kind. MSR and Google Research do some interesting work for sure, but I do feel that a lot of it is still specced out. E.g. its hard to research non-neural-network / non-deep-learning models if you’re doing AI research at either place (I’ve heard).
c
I guess we are leaving the field of economics and industry here. Because for me it is simply about human motivation, curiosity, the desire to understand. Had the people who invented the wheel thought about commercialization? Or great medieval thinkers? Many people are so fond of capitalism that they are blinded by their own confirmation bias - only to look what confirms them - instead of looking how the capitalist mindset actually gives rise to many problems. Many people have written about the problematic relationship between science and empire/capitalism. I like Bertrand Russels Icarus or Dijkstras Diaries (Computer Science/Academia vs Computer Industry). To me it almost seems like without conscious cultural creation its very hard to get anywhere. But culture/society is so vast that change from bottom up becomes almost impossible. Its a hard problem But working with peoples motivation and new kind of organisational structures could provide new insights.
m
"Can people eat while they do it" is a factor that should be considered too, along with "I need X for my research, how do I pay for it"
Alan Kay in one of those talks says something like "Each Alto costed around 150k, we built 2000 of them", bringing the future to the present is not cheap
capitalism pressure for short term profit is not that different from public pressure to see short term benefits from public spending
Even in academia, the pressure for incrementalism is a thing
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n
Somehow it never occurred to me that his aphorism could apply both ways. It's possible to invent the wrong future if you are working within the wrong contexts - https://www.quora.com/What-is-the-history-behind-Alan-Kay-s-quote-Point-of-view-is-worth-80-IQ-points - "Similarly, the earlier “The best way to predict the future is to invent it” doesn’t say anything about what kind of future. People in power often invent terrible futures and make them happen (again, just take a look at unnecessary disasters over history, especially recently)."
And this applies to more than just futures of computing...