Continual-ARCby unify

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

Prime Agent, asked to store

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

Share learned
+0.24 ±0.05
Stream, budget used
37.2 solved 78%
Epilogue, budget used
58.0 solved 53%
Model spend
$2.45 3,933 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, 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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