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Noah Scales

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Articles by Noah Scales

AI alignment with humans... but with which humans?

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By Geoffrey Miller, Paul Watson, Michael Huang Verified, Noah Scales
| effectivealtruism.org
Caveat: This post probably raises a naive question; I assume there's at least a 70% chance it's been considered (if not answered) exhaustively elsewhere already; please provide links if so. I've studied evolutionary psych & human nature for 30 years, but am a relative newbie to AI safety research. Anyway....
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Nobody Wants to Read Your Sh*t: my favorite book of writing advice, condensed for your convenience — EA Forum

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By Geoffrey Miller, Nathan Young, Noah Scales
| effectivealtruism.org
Nobody Wants to Read Your Sh*t by Steven Pressfield is my favorite book of writing advice. Its core insight is expressed in the title. The best thing you can do for your writing is to internalize this deep truth. Pressfield did it by writing ad copy. You can’t avoid internalizing that nobody wants to read your shit when you’re writing ads, which everybody hates and nobody ever wants to read.
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Population Decline — EA Forum

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By Jackson Wagner, Noah Scales
| effectivealtruism.org
Most people are choosing not to have kids In recent years, there has been a decline in the number of births worldwide. This trend is especially evident in developed countries, where the average fertility rate has been below the replacement level for some time. There are a number of reasons why people are choosing to have fewer children, or none at all. For one thing, population growth has slowed down in many parts of the world, so there is less pressure to have large families.
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Puzzles for Everyone

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By Richard Chappell, Michael StJules, Caleb Biddulph, Noah Scales
| effectivealtruism.org
Some of the deepest puzzles in ethics concern how to coherently extend ordinary beneficence and decision theory to extreme cases. The notorious puzzles of population ethics, for example, ask us how to trade off quantity and quality of life, and how we should value future generations. Beckstead & Thomas discuss a paradox for tiny probabilities and enormous values, asking how we should take risk and uncertainty into account.
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