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I can't recall any clear predictions or advice, just a general presumption that it will be used wisely.
Given utopian medicine, Gwern's points seem not very important.
He predicts that it will be possible to do things like engineer away sadness. He doesn't devote much attention to convincing skeptics that such engineering will be possible. He seems more interested in questions of whether we should classify the results as utopian.
What evidence do you have about how much time it takes per day to maintain the effect after the end of the 2 weeks?
The part about "securities with huge variance" is somewhat widely used. See how much EA charities get from crypto and tech startup stock donations.
It's unclear whether the perfectly anti-correlated pair improves this kind of strategy. I guess you're trying to make the strategy more appealing to risk-averse investors? That sounds like it maybe should work, but is hard because risk-averse investors don't want to be early adopters of a new strategy?
Doesn't this depend on what we value?
In particular, you appear to assume that we care about events outside of our lightcone in roughly the way we care about events in our near future. I'm guessing a good deal of skepticism of ECL is a result of people not caring much about distant events.
I had nitrous oxide once at a dentist. It is a dissociative anesthetic. It may have caused something like selective amnesia. I remember that the dentist was drilling, but I have no clear memory of pain associated with it. It's a bit hard to evaluate exactly what it does, but it definitely has some benefits. Maybe the pain seemed too distant from me to be worth my attention?
1A much higher fraction of the benefits of prediction markets are public goods.
Most forms of insurance did took a good deal of time and effort before they were widely accepted. It's unclear whether there's a dramatic difference in the rate of adoption of prediction markets compared to insurance.
I'm reaffirming my relatively extensive review of this post.
The simbox idea seems like a valuable guide for safely testing AIs, even if the rest of the post turns out to be wrong.
Here's my too-terse summary of the post's most important (and more controversial) proposal: have the AI grow up in an artificial society, learning self-empowerment and learning to model other agents. Use something like retargeting the search to convert the AI's goals from self-empowerment to empowering other agents.
You seem to assume we should endorse something like average utilitarianism. Bostrom and I consider total utilitarianism to be closer to the best moral framework. See Parfit's writings if you want deep discussion of this topic.