Scott Aaronson
Theoretical computer scientist at the University of Texas at Austin, known for his work on quantum computing and computational complexity, and for the blog Shtetl-Optimized, which he has written since 2005. He spent two years at OpenAI working on what theoretical computer science can contribute to AI safety.
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· held 15 years
Believed beforesaid
Their words thenIf I were forced at gunpoint to guess, I’d say that human-level AI seemed to me like a slog of many more centuries or millennia (with the obvious potential for black swans along the way).
Nowsaid
Our readingNo longer believes this.
Their wordsOnce I saw the empirical case that a generative AI revolution was imminent—sometime during the pandemic—I updated, hard.
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· held 15 years
Believed beforesaid
Their words thenprecisely because smart people do devote brain-cycles to these possibilities, the rest of us have correspondingly less need to.
Nowsaid
Our readingNo longer believes this.
Their wordsone must never use radical ignorance as an excuse to default, in practice, to the guess that everything will stay basically the same.