Chris Dixon
@cdixon.eth
“The United States’ advantage is decentralized and open innovation. Some people argue that we must close our models to prevent China from gaining access to them, but my view is that this will not work and will only disadvantage the US and its allies. Our adversaries are great at espionage, stealing models that fit on a thumb drive is relatively easy, and most tech companies are far from operating in a way that would make this more difficult. It seems most likely that a world of only closed models results in a small number of big companies plus our geopolitical adversaries having access to leading models, while startups, universities, and small businesses miss out on opportunities.” Mark Zuckerberg - “Open Source AI Is the Path Forward” https://go.fb.me/ceql4u
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Breck Yunits
@breck
The math is simple: E=TA! Any society that continues to suffer from the "Intellectual Property" delusion will go extinct. https://breckyunits.com/eta.html
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Cobe Liu
@liucobe
If E (time for intellectual evolution) = T (time to test) A (size of assembly pool)! Wouldn’t a larger assembly pool increase time for intellectual evolution? You seem to be arguing that a larger assembly pool is good which I agree with but the equation doesn’t reflect that. It seems to be a little more complex. Maybe evolution of ideas does not have to occur after exploring every permutation of idea combination but can occur at any step in process and is more likely to occur if assembly pool is larger in scope and scale. So eqn looks more like: E=T/P(A) Where P(A) is the probability of finding coming up with beneficial idea and increases with A. Could be something like log(A). So E=T/(log(A)) Less elegant but lmk what you think.
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Breck Yunits
@breck
You are absolutely right. I'm not clear enough that as you add items to the assembly pool, you also increase the compute capacity proportionally. @nor also brought that to my attention. I still need to clarify a bit. Thank you for the feedback. https://github.com/breck7/breckyunits.com/commit/6c974491784c015c791bc0fcd4558c6764abad31
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Breck Yunits
@breck
ah, here’s my mistake. originally we called it EA!T, then flipped the last 2 for the better acronym, forgot about the divisor! will fix
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Connor McCormick ☀️
@nor
ping me when you have the updated version, I was thinking about this when you messaged about it and I can see the argument for how if you have perfectly parallel trials then increased assembly size does reduce organism duration though maybe find a way to parameterize it by capacity for parallel trials
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