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Title: “ARC-AGI-3: The Ultimate AI Challenge – Humans Excel While Leading Models Stumble”

In a groundbreaking test developed by François Chollet, ARC-AGI-3 presents 135 unique game environments without instructions or goals. While untrained humans triumphed in every scenario, top AI models like Gemini and GPT struggled, scoring well below 1%. With $2M in prizes on Kaggle for open-sourced solutions, it’s clear: scaling alone won’t bridge the gap to AGI. Full details in the comments.

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ARC-AGI-3: The New Frontier in AI Testing

François Chollet has unveiled ARC-AGI-3, the most challenging AI test yet. Here’s what you need to know:

  • 135 Unique Game Environments: No instructions, no goals. It’s all about exploration and adaptability.
  • Untrained Humans vs. AI: Every human participant succeeded, while leading AI models fell short, scoring below 1%.
  • Innovative Scoring Mechanism: Efficiency is key. If an AI takes 100 steps where a human takes 10, it scores minimal points, highlighting the need for strategic thinking over brute force.
  • A Reset in AI Benchmarks: After significant advancements in ARC-AGI-1 and ARC-AGI-2, this new test redefines the landscape.

With $2M in prizes announced on Kaggle, the quest for AGI continues! Discover how humans outshine AI in an unpredictable environment.

👉 Ready to dive deeper into the future of AI? Click the link in the comments to explore more!

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