The study explores GPT-6 Astra's ability to solve randomized Boolean logic problems without using chain-of-thought reasoning. It shows that Astra can compute accurate posterior marginal probabilities and that its performance improves with additional filler tokens, suggesting an internal belief-propagation-like inference process.
The chart will appear after repeat observations. The current metric comes from the source.
35 source pointsReal observations only. History before source connection is not reconstructed.
This could indicate that Astra uses an advanced probabilistic inference mechanism, which might be useful for tasks requiring uncertainty estimation in logical reasoning.
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