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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vrypan |--o--|
@vrypan.eth
Please share more on this. I’ve long believed that the right way is “intellectual parenthood” and not property.
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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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ionspired
@ionspired
Breck, would much much appreciate your feedback on our concept to deploy tomorrow /poll poll.skin/blackpaper quite big time related
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behkod.base.eth
@behkod.eth
Damn! this was gooood
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