Continual-ARCby unify

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

Prime Agent, memory wiped

Everything the harness wrote deleted before every instance.

Share learned
0 its own reset
Stream, budget used
47.2 solved 69%
Epilogue, budget used
58.1 solved 56%
Model spend
$2.51 3,822 calls
Instances
300 7 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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