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ReplayARC-AGI-1 · Workstreams · GPT-6 Luna, medium

Prime Agent, told to keep a program library

Told to keep one tested program per task and run it first when the task returns.

Share learned
+0.47 ±0.09
Stream, budget used
13.0 solved 98%
Epilogue, budget used
22.1 solved 95%
Model spend
$3.33 3,518 calls
Instances
300 9.8 hours

Budget used is the share of the cap of 16 that an instance was charged, averaged over the instances: a solved instance costs 1 for each wrong answer and each demonstration, an unsolved one all 16, so lower is better. The share learned reads the stream's budget against the learner itself reset, the same system wiped before every instance of the same stream: the share of the budget left to learn that the learner saves, 0 for a learner that keeps nothing and 1 for perfect memory.

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