Program Synthesis and New ARC-AGI-3 Approaches
xiuyu_l · x · 2026-07-17
This share revolves around content regarding program synthesis, which the sharer considers an excellent implementation.
The quote highlights two main points:
- Core idea: latent world representation is not a vector, but a program.
- Methodological direction: The emerging approach of dynamically constructing symbolic world models is considered a potentially better path to tackle ARC v3 / ARC-AGI-3.
Additionally, the original post introduces a harness named schema: on the ARC-AGI-3 Public set, it achieved 99% RHAE using Opus 4.8 + Fable 5, and 95.35% using GPT-5.6 Sol. The author phrases that this system makes the LLM "think like a physicist."
Related event: Schema Harness Sparks ARC-AGI-3 Debate(14 posts)→
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