Are there systematic ways to do 1 formally based on Landeuer Principle or something?
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In practice it often depends on things like implementing your multiplication with a lookup table. I think the Landauer limit would matter if we did best effort computing and could harness the actual amount of determinism we can get from the substrate. We are far from that.
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You may optimize for a given hardware, or even design hardware and software together.
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What are good resources for learning those now?
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I don't think that any of those require special resources to learn. They are just particular perspectives on things that I could not see back then, and which I find much more useful.
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Unless you have an a degreed mathematician, or 2, on staff, the seminal import of
@BlueManifold PhD thesis will seem totally irrelevant to#AI : "A Metalogical Analysis of Vagueness: An Exploratory Study into the Geometry of Logic" http://wrap.warwick.ac.uk/51938/1/WRAP_THESIS_Hovsepian_1992.pdf …#AIethics#aiforgoodpic.twitter.com/oJQ9Z99Bs7
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What about primary school and high school?
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