Continual-ARCby unify

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

Prime Agent, told to keep a program library, memory wiped

Told to keep a program library, with everything it wrote deleted before every instance.

Share learned
0 its own reset
Stream, budget used
41.8 solved 77%
Epilogue, budget used
51.2 solved 64%
Model spend
$3.04 5,059 calls
Instances
300 8.3 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 before every instance, and this learner keeps nothing between instances, so it is its own reset and reads 0.

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