Story
ARC-AGI Leaderboard
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1 website
1 discussion
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Overview
ARC-AGI-3 measures AI agents' ability to adapt to novel interactive environments, evolving from previous versions that focused on passive fluid intelligence. The leaderboard visualizes the relationship between cost-per-task and performance, emphasizing efficiency in problem-solving.
Summary from arcprize.org.
Reports
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arcprize.org
ARC-AGI Leaderboard
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Community reactions
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Hacker News · arcprize.org
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-07-25.
- Praise: Opus 5 shows a remarkable leap in performance over its predecessor, making it a standout in the ARC AGI 3 leaderboard — users are genuinely impressed by its capabilities.
- Praise: Some users feel that Opus 5 represents a big step up in intelligence, especially when tackling complex tasks compared to Opus 4.5.
- Praise: The discussion highlights the evolving nature of AI benchmarks, suggesting that as models improve, the benchmarks must adapt to remain relevant.
- Concern: Critics argue that despite the hype, AI models haven't meaningfully improved over the years, leaving users feeling stuck with outdated performance.
- Concern: The exclusion of harnesses from the benchmarks raises eyebrows, with many feeling it compromises the relevance and accuracy of the evaluations.
- Concern: Skepticism abounds regarding the validity of the benchmarks, with some commenters suggesting that the scoring may be influenced by the training data used.