Continual-ARCby unify

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

OpenClaw, asked to store

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

Share learned
−0.15 ±0.10
Stream, budget used
27.1 solved 92%
Epilogue, budget used
15.3 solved 100%
Model spend
$8.08 2,418 calls
Instances
209 16 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.

Loading the run