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Reasoning system achieves 100% on ARC-AGI-3 without LLMs

An experimental reasoning system developed at Orivael achieved a perfect score of 100% on the ARC-AGI-3 ft09 benchmark without utilizing any large language models. The system's developer highlighted that the failures encountered during testing were more insightful than the successes. This achievement suggests a novel approach to artificial general intelligence reasoning that does not rely on current LLM architectures. AI

IMPACT Demonstrates a potential alternative to LLMs for complex reasoning tasks, prompting further research into non-LLM AGI approaches.

RANK_REASON The item describes a novel research finding on a benchmark, not a product release or significant industry event. [lever_c_demoted from research: ic=1 ai=1.0]

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Reasoning system achieves 100% on ARC-AGI-3 without LLMs

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🤖 We got 100% on ARC-AGI-3 ft09 with zero model calls. The failures are more interesting. I've been building an experimental reasoning system at Orivael and tes

    🤖 We got 100% on ARC-AGI-3 ft09 with zero model calls. The failures are more interesting. I've been building an experimental reasoning system at Orivael and testing it against ARC-AGI-3. One of the runs just scored 100% on ft09. The unusual part: There is no LLM in the loop. Not …