Ask HN: Attempts to solve ARC-AGI-3 (arcprize.org)

ARC-AGI-3 has been announced as a groundbreaking evaluation framework aimed at measuring human-like intelligence in AI through its new benchmark dataset. This in-progress project, set to launch in 2026, will feature around 100 unique environments where AI agents will operate without prior instructions, testing their ability to perceive, decide, and act over multiple steps, thus challenging traditional static benchmarks that fail to capture the full spectrum of intelligence. Early previews include six games, with a focus on using game environments to assess skill-acquisition efficiency compared to human performance, moving beyond past limitations where agents simply memorized inputs. The significance of ARC-AGI-3 lies in its pioneering use of Interactive Reasoning Benchmarks (IRBs), which aim to better assess the interactive nature of intelligence that unfolds over time, including planning, memory compression, and goal-directed behavior. Unlike previous metrics, this new approach highlights the gap between human and artificial intelligence, asserting that true AGI won't be achieved until a system can efficiently learn and adapt in real-world-like scenarios. The initiative invites community collaboration to generate innovative game ideas and develop AI agents, emphasizing the importance of collective input to refine the evaluation process and bridge the existing divide in capabilities.