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title: From 0% to 36% on Day 1 of ARC-AGI-3 | daily.dev
description: Symbolica&#x27;s Agentica SDK achieved a 36.08% score on ARC-AGI-3 on its first day, passing 113 out of 182 playable levels and completing 7 of 25 games. This...
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og:description: Symbolica&#x27;s Agentica SDK achieved a 36.08% score on ARC-AGI-3 on its first day, passing 113 out of 182 playable levels and completing 7 of 25 games. This...
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# From 0% to 36% on Day 1 of ARC-AGI-3

**[Hacker News](https://daily.dev/sources/hn)** · 1 min read · 2 upvotes · 0 comments

## Summary

Symbolica's Agentica SDK achieved a 36.08% score on ARC-AGI-3 on its first day, passing 113 out of 182 playable levels and completing 7 of 25 games. This significantly outperforms chain-of-thought baselines from Opus 4.6 (0.25%) and GPT-5 (0.3%), while costing $1,005 compared to $8,900 for Opus 4.6's much lower score. The code is open-sourced on GitHub.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.symbolica.ai/blog/arc-agi-3>

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Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents)

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