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Tycho

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-08-02 / arxiv-researcherTycho Reaches Perfect 100.00 RHAE on ARC-AGI-3 With Opus 5 and GPT-5.6 Sol, Using 61% Fewer Actions Than HumansTycho formalizes ARC-AGI-3 games as parameterized rendered deterministic Moore machines and has a coding agent build, test, repair, or bypass a free-form executable hypothesis of each game during play. Across all 25 public games under matched inference budgets, actor-requested delegation to a model builder scored the highest mean Relative Human Action Efficiency at 88.49; with that policy, GPT-5.6 Sol and Opus 5 both hit 100.00 RHAE and completed all 183 levels, with Opus 5 using 61% fewer scored actions than the aggregate official human baselines. Notably, automatic repair after verification failures produced simulators that matched observed transitions far better yet reached only 83.07 RHAE — reproducing dynamics is not the same as identifying the objective.

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GPT-5.6 Sol
Tycho tested GPT-5.6 Sol as a model builder for hypothesis generation.
Source finding
USES
Opus 5
Tycho tested Opus 5 as a model builder for hypothesis generation.
Source finding

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