Artificial intelligence has reached a milestone breakthrough. Greg Brockman, co-founder of OpenAI, recently announced that the new large model GPT-5.2 has officially surpassed the human baseline level in the ARC-AGI-2 benchmark test. This test was introduced by François Chollet and is specifically designed to assess whether AI has true abstract reasoning and the ability to apply knowledge to new situations, rather than just memorizing patterns. This achievement of GPT-5.2 marks that AI has crossed the "passing line" when dealing with new tasks it has never seen before, moving towards expert-level intelligence.

However, while performance sets new records, OpenAI has issued a calm warning. The company believes the industry has entered a stage of "excess capability." This means there is a huge gap between what large models can do and the actual application effects for users. Although AI excels in laboratory metrics and skills, there is still a "performance paradox" when integrating into real work processes and complex business scenarios.

In response to this situation, OpenAI stated that its focus in 2026 will no longer be solely on parameter breakthroughs but will shift to the application layer and human-machine collaboration. The core challenge of the future lies in how to teach users to effectively use AI and convert its capabilities into actual productivity value. This view has also gained industry consensus: the next stage of AGI competition will shift from pure computational power stacking to more efficient software architecture design and deep integration with real-world scenarios.

Key Points:

  • 🏆 Breaking the Benchmark: GPT-5.2 has significantly improved its accuracy in the ARC-AGI-2 test, becoming the first model to surpass the average human level in this high-difficulty reasoning test.

  • ⚠️ Warning About Excess: OpenAI introduced the concept of "excess capability," pointing out that the potential of models far exceeds the current practical application level, and the industry is facing a transition from "showcasing skills" to "real-world implementation."

  • 🤝 Shift in Focus: The realization of future AGI will rely more on human-machine collaboration and system optimization. How to integrate AI into real-world scenarios such as healthcare and business has become a key puzzle.