Strawberry’s Paradox: When Perfect Answers Aren’t Enough

How AI Advances Are Shifting the Burden to Human Judgment

Cassie Kozyrkov
Towards Data Science
9 min readSep 25, 2024

Do you remember where you were when you learned that OpenAI had released its latest model, o1-preview (dubbed Strawberry)?

I was spending an afternoon with Nobel Prize-winning game theorist Roger Myerson. Naturally, much of our conversation revolved around humanity’s relationship to technology.

In this blog post, I’ll share our ideas with you.

Your author (left) and Roger Myerson (right) on the day o1-preview came out.

Every time a shiny new AI capability like Strawberry shows up, the internet gets noisy with the usual gaggle of hypebeasts and curmudgeons weighing in on how good it actually is (or isn’t). If that’s what you’re here for, scroll down for a video demo I made for you. But that’s not what Roger and I talked about. Instead, we skipped right to the logical conclusion of every AI release, asking:

“Imagine if AI was so good that you could get an instant answer to any question you wanted to ask. Or instant output for any request you made. What would be worth teaching in a world like that?”

Our answer? The one thing we’ve been trying to teach for decades. The most…

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Chief Decision Scientist, Google. ❤️ Stats, ML/AI, data, puns, art, theatre, decision science. All views are my own. twitter.com/quaesita