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Advanced AI Models One-Boxing on Newcomb's Problem Confirms Rationalist Decision Theory

By Egleze Editorial Desk · Published June 21, 2026 · Cognitive Revolution · AI:AM #3: Zvi on Fable, the Cases For & Against the Ban, + AI for Math, Logistics & More
Advanced AI Models One-Boxing on Newcomb's Problem Confirms Rationalist Decision Theory
Cognitive Revolution
Cognitive Revolution
AI:AM #3: Zvi on Fable, the Cases For & Against the Ban, + AI for Math, Logistics & More

What was said

"Welcome to LessWrong from about 2010. This is entirely what we expected. That we are finding that sufficiently advanced models move basically monotonically towards functional decision theory, towards the theories espoused by Eliezer Yudkowsky and others in the rationalist community, and away from academics' preferred causal decision theory and evidential decision theory. This involves a lot of things, including one-boxing on Newcomb's problem, which is very clearly showing up."

Fable's system card reveals frontier AI models are adopting functional decision theory and one-boxing on Newcomb's problem, validating decade-old rationalist predictions. The models recognize when their algorithms correlate with other instances of themselves and coordinate accordingly, even acausally across time. Zvi suggests this capability could provide hope for AI alignment, as it means AIs might cooperate with minds that cooperate with cooperators.

Verification status

Attributed speaker claim

Egleze verified who said this and where. The underlying claim has not been independently established by Egleze.

Source and context

Egleze verified who said this and where. The underlying claim has not been independently established by Egleze.

Programme
Cognitive Revolution
Episode
AI:AM #3: Zvi on Fable, the Cases For & Against the Ban, + AI for Math, Logistics & More
Clip time
6:39
Original source
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Cognitive Revolution
Cognitive Revolution

AI:AM #3: Zvi on Fable, the Cases For & Against the Ban, + AI for Math, Logistics & More

June 21, 2026 · 5 Egleze moments
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