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Stanford neuroscientists Dr. David Eagleman says AI will have a problem with selection AI is massively creative. The part of creativity that AI can’t do right now is selection… meaning, it can generate 100 pictures, but it doesn’t know which one to pick.” “It doesn’t know which one is... show more

STYRΞNΞ ✂️

10,532 subscribers

10,287 Aufrufe • vor 4 Monaten •via X (Twitter)

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8 Kommentare

Profilbild von STYRΞNΞ ✂️

STYRΞNΞ ✂️vor 4 Monaten

ft : @StevenBartlett

Profilbild von Tim

Timvor 4 Monaten

This is a big problem. Many parts of jobs and many parts of the economy is taste. What looks appealing, sounds appealing, what is a good business idea, etc. Many jobs cannot be automated without getting to at least human level in this broadly (broadly much harder than targetted).

Profilbild von Samuel St. Peter

Samuel St. Petervor 4 Monaten

I’ve tested this myself. AI floods you with good options, but none of them feel right until a human applies taste. Creativity isn’t scarce anymore, judgment is

Profilbild von STYRΞNΞ ✂️

STYRΞNΞ ✂️vor 4 Monaten

absolutely!

Profilbild von Wash

Washvor 4 Monaten

yeah i think that’s why grok usually produces 2 for you to pick

Profilbild von Fibonacci 🥷

Fibonacci 🥷vor 4 Monaten

The thing with AI is most of the things it can do now, it will be able to in a few years

Profilbild von Ethan Walker

Ethan Walkervor 4 Monaten

Selection is the real bottleneck. RLHF/DPO are workarounds. Does preference learning scale to genuine evaluation, or do we need different architecture altogether?

Profilbild von Ruzy

Ruzyvor 4 Monaten

Invested

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