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A test for AGI is closer to being solved — but it may be flawed | TechCrunch

Dec 10, 2024 - techcrunch.com
The ARC-AGI benchmark, introduced by Francois Chollet in 2019, is designed to evaluate AI systems' ability to acquire new skills beyond their training data, aiming to measure progress towards artificial general intelligence (AGI). Despite recent improvements, with the best AI scoring 55.5% on the benchmark, Chollet and others argue that this increase highlights flaws in the test rather than a true breakthrough in AGI research. Chollet criticizes the AI industry's focus on large language models (LLMs), which he believes rely too heavily on memorization and struggle with generalization and reasoning.

In response to these challenges, Chollet and Zapier co-founder Mike Knoop launched a $1 million competition to develop open-source AI capable of surpassing the ARC-AGI benchmark. While the competition saw significant progress, many submissions used brute force methods, suggesting that the tasks may not effectively signal general intelligence. Chollet and Knoop acknowledge the need for improvements and plan to release a second-generation ARC-AGI benchmark and a 2025 competition to address these issues. They aim to guide research towards solving critical AI problems and accelerating the timeline to AGI, despite ongoing debates about the definition and achievement of AGI.

Key takeaways:

  • The ARC-AGI benchmark, introduced by Francois Chollet in 2019, is designed to evaluate AI's ability to acquire new skills beyond its training data, but recent progress suggests flaws in its design rather than breakthroughs in AGI.
  • Despite a significant improvement in performance from 33% to 55.5% in the ARC-AGI competition, the results indicate that many solutions rely on brute force rather than genuine reasoning, questioning the benchmark's effectiveness in measuring general intelligence.
  • Chollet and Mike Knoop have launched a $1 million competition to encourage research beyond large language models, which are criticized for their reliance on memorization rather than reasoning.
  • Plans are underway to release a second-generation ARC-AGI benchmark and a 2025 competition to address current shortcomings and continue efforts toward advancing AI research and progress toward AGI.
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