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Kevin's avatar

Tech CEOs will say anything if it helps their recruiting. When AI was a niche thing, they talked up existential risk to appeal to the narrow audience who was thinking a lot about AI. Now that it’s obvious to everyone that AI is important, they talk down existential risk to help them recruit the software engineers with more mainstream opinions.

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Enon's avatar

"It doesn’t tell us what the scale of this ‘intelligence’ is, which is a matter of much debate. What does it mean to be ‘twice as smart’ as the average (let’s simplify and say IQ 100) person? It doesn’t mean ‘IQ 200,’ that’s not how that scale works."

When Peter Voss was advertising a job for an "AI Psychologist" on the SL4 list in 2005, I advised him to get someone who knew Rasch psychometric measures, which potentially let you quantify intelligence as a ratio measure, one where you can say one person is twice as smart as another (or equivalently that one question is twice as hard as another). Rasch intelligence measures can be converted to IQ and back, or to mental age, or to probability of being correct on a problem of a given difficulty. As intelligence increases, the odds of being right rise not as a step function, but as an extremely soft logistic curve, with about 2 s.d. (= 30 IQ points = difference between an adult and a 10 year-old) to go from a 25% chance to a 75% chance of being correct, for a problem that average people get right 50% of the time

For hard problems, higher intelligence gives exponentially higher probabilities of beig correct, though still low in an absolute sense. For solving the hardest and most crucial

questions, given the lack of dramatically more intelligent people at present, being able to

prioritize the important questions to get the most attempts to answer them, even by non-geniuses is the key. AI changes that rapidly, making not just far more attempts possible, but attempts each with exponentially higher odds of succeding. AI may be advancing only linearly in intelligence, but it seems to be covering each year most of the gap between 10 year olds and adults or between average adults and top professors, likely over 15 IQ points per year, which while not FOOM, is still a potentially rapid takeoff, with multiple society-transforming effects becoming suddenly apparent over weeks or months, effects which will be positive overall because intelligence solves problems, gets the right answer, rejects the old wrong answers. BY DEFINITION!

I think this is the root problem with fears of higher intelligence, they are fears of getting the right answers, fears that we'll abandon the current wrong answers, falsehoods to which many are religiously committed, fasehoods upon which their livlihoods and status depend.

Here's my post on Rasch measures of intelligence and using them to compare different levels of abulity at different ages; the technical discussion is in the "Appendix C, misc. notes on Rasch measures" section at the end:

https://substack.com/@enonh/p-149185059

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