#arc-agi

HN’s 718-point discussion focused less on the leaderboard slot and more on what cheap, fast reasoning changes for daily agent work.

GPT-5.6 Sol moved from 13.3% to 38.3% on ARC-AGI-3 when OpenAI retained reasoning and used compaction in the harness. The result makes benchmark setup, not just model weights, part of the frontier-agent story.

ARC Prize put Anthropic Opus 4.8 at the top of ARC-AGI-3, but the score shows how hard the benchmark remains. The new mark is 1.5% at roughly $10K, with progress tied to object-and-system abstraction rather than image-level pattern matching.

The latest ARC-AGI-3 scores show GPT-5.5 High at 0.43% and Claude Opus 4.7 at 0.18% — the most powerful models today remain effectively at zero on this AGI benchmark.

A March 2026 r/singularity post with 203 points and 82 comments highlighted Symbolica’s claim that its Agentica SDK reached an unverified 36.08% on ARC-AGI-3. The headline numbers were 113 of 182 playable levels solved, 7 of 25 games completed, and a much lower reported cost than chain-of-thought baselines.

Right after ARC Prize released ARC-AGI 3, r/singularity focused on the benchmark’s shift toward interactive environments and action-efficient scoring. The core message is that frontier AI still lags badly when it must generalize, explore, and plan under tight interaction budgets.

ARC Prize introduced ARC-AGI-3 on March 24, 2026 as a benchmark for frontier agentic intelligence in novel environments. On Hacker News it reached 238 points and 163 comments, signaling strong interest in evaluation methods that go beyond static tasks.