/Tech2d ago

METR's David Rein defends prediction as a highly exploit-resistant reward signal for training AI world models

Ethan questioned if success depends on accurate uncertainty estimates.

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david rein@idavidrein#907inTech

@willdepue totally disagree.

it's one of the best reward signals we have because it's very difficult to hack and is highly correlated with having an accurate model of the world.

will depue@willdepue

i’m so bored of prediction. so what we called this in 2020. who cares? what did it change, that’s what matters. prediction for its own sake, for future credit, is so silly

12:23 PM · Jun 8, 2026 · 16K Views
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Users affirm prediction market scores as high-signal indicators for identifying reliable voices on claims about hard-to-hack reward signals for world models.

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Caleb Parikh@caleb_parikh

@idavidrein @willdepue Fwiw I think it’s easy to improve at forecasting without improving your models (e.g. reading questions more carefully, hacking resolution criteria, answering easier questions) and in some cases making your world models less useful (e.g. internalising “nothing ever happens”).

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david rein@idavidrein

@caleb_parikh @willdepue yeah I'm not thinking about "having a high score on prediction markets", I'm thinking about "knowing in 2020 that in 5-10 years nobody will write code themselves" (for example)

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Caleb Parikh@caleb_parikh

@idavidrein @willdepue Oh yeah, though it’s also easy to “cheat” here by simply reciting whatever Carl Shulman’s take is topic, or stalling until you can look it up/ask him.

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vals🔸@ValsTutor

@caleb_parikh @idavidrein @willdepue It's high signal to know who to listen to!

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david rein@idavidrein

@torchcompiled @arb8020 @willdepue I think what matters most is getting “the big things” right (which varies depending on your goals ofc). Then after that being roughly calibrated is useful but IMO less important

Ethan@torchcompiled

@idavidrein @arb8020 @willdepue Out of the loop, is it more about getting predictions right? Or having a good confidence bounds/uncertainty estimate?

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Caleb Parikh@caleb_parikh

@idavidrein @willdepue I’m much more into AI2027 type scenario forecasting than tetlockian prediction market type forecasting for “credit assignment”. It does ofc have lots of weaknesses and you might want to do a combination (like Ai2027 does).

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Caleb Parikh@caleb_parikh

@idavidrein @willdepue Being good at forecasting feels a bit like being good at exams. it’s some positive signal for the person’s world model, but there’s plenty of false negatives, and the highest ROI way to do better is often not to get better at the underlying subject.

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Lexer@LexerLux

@idavidrein @willdepue All intelligence is prediction.

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doubleunplussed@doubleunplussed

@idavidrein @caleb_parikh @willdepue I do think having a high score on prediction markets helps though. It's not long-term forecasting ability per se, but to be good at it you do have to overcome lots of human biases and get good at avoiding fooling yourself, which are also necessary for longer-term forecasting

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Ethan@torchcompiled

@idavidrein @arb8020 @willdepue Out of the loop, is it more about getting predictions right? Or having a good confidence bounds/uncertainty estimate?

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