alt Hacker NewsI don't think the word "amplification" is accurate. I don't know why, but while engineering techbro circles love "multipliers," but those very very rarely exist in real life.
You do need a baseline of knowledge to be able to prompt the AI in a domain successfully. But beyond that baseline there are rapidly diminishing returns. Someone with skill far beyond a certain line won't get amplified the same way someone who just clears that line will.
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They are talking about breadth, not depth, multipliers in almost every circumstance.
A great X will be able to do far more great X stuff (breadth), and perhaps also be a greater X (depth).
But it's most certainly weighted in favor of the former than the latter.
What is the baseline, roughly? Let's say I want to be useful in a given domain(one with rich machine feedback), with the help of the AI, what should I study ?
This is patently false, see Tao’s recent use of ChatGPT regarding the Jacobian conjecture.