New ARC-AGI-2 Test Reveals Significant Gap Between AI and Human Intelligence

Skynet Chance (-0.15%): The test reveals significant limitations in current AI systems' ability to efficiently adapt to novel problems without brute force computing, indicating we're far from having systems capable of the type of general intelligence that could lead to uncontrollable AI scenarios.

Skynet Date (+2 days): The massive performance gap between humans (60%) and top AI models (1-4%) on ARC-AGI-2 suggests that truly generally intelligent AI systems remain distant, as they cannot efficiently solve novel problems without extensive computing resources.

AGI Progress (+0.02%): While the test results show current limitations, the creation of more sophisticated benchmarks like ARC-AGI-2 represents important progress in our ability to measure and understand general intelligence in AI systems, guiding future research efforts.

AGI Date (+1 days): The introduction of efficiency metrics that penalize brute force approaches reveals how far current AI systems are from human-like general intelligence capabilities, suggesting AGI is further away than some industry claims might indicate.