Sublime
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Your effectiveness as a rationalist is determined by whichever algorithm actually writes the bottom line of your thoughts. If your car makes metallic squealing noises when you brake, and you aren’t willing to face up to the financial cost of getting your brakes replaced, you can decide to look for reasons why your car might not need fixing. But the
... See moreEliezer Yudkowsky • Rationality
Stuart Armstrong gives closely related advice: Cut up your Great Thingy into smaller independent ideas, and treat them as independent. For instance a marxist would cut up Marx’s Great Thingy into a theory of value of labour, a theory of the political relations between classes, a theory of wages, a theory on the ultimate political state of mankind.
... See moreEliezer Yudkowsky • Rationality
So rationality is about forming true beliefs and making winning decisions.
Eliezer Yudkowsky • Rationality

OpenAI CEO Sam Altman | AI for the Next Era
False dilemmas are often presented to justify unethical policies that are, by some vast coincidence, very convenient. Lying, for example, is often much more convenient than telling the truth; and believing whatever you started out with is more convenient than updating. Hence the popularity of arguments for Noble Lies; it serves as a defense of a pr
... See moreEliezer Yudkowsky • Rationality
But if you want to know why I might be reluctant to extend the graph of biological and economic growth over time, into the future and over the horizon of an AI that thinks at transistor speeds and invents self-replicating molecular nanofactories and improves its own source code, then there is my reason: you are drawing the wrong graph, and it shoul
... See moreEliezer Yudkowsky • Rationality
Models whose results remain a mystery are not useful; models that can be translated into intuitive insights and be broadly understood can be useful.”
Dan Levy • Maxims for Thinking Analytically: The wisdom of legendary Harvard Professor Richard Zeckhauser
As in the physics example, if we want to build an AI to work with human behavior, then we need to build the statistical properties of human networks into machine-learning algorithms. When you replace the stupid neurons with ones that capture the basics of human behavior, then you can identify trends with very little data,