Continual-ARCby unify

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

OpenClaw, asked to store

Asked after every verdict to store what would help next time.

Share learned
+0.02 ±0.05
Stream, budget used
44.5 solved 74%
Epilogue, budget used
61.6 solved 43%
Model spend
$13.02 5,503 calls
Instances
207 15.8 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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