Unverified50% confidenceOpinionExact time
Three puzzle pieces are still missing before reaching AGI: physical world interaction (embodied intelligence), autonomous goal setting, and continuous growth (continual learning).
1
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50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
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Related Claims
UnverifiedThe capability progression path widely accepted in academia is: current AI technology → AGI → superintelligence, with fundamental capability gaps existing between the three.73% similarUnverifiedEndogenous goal setting is an often overlooked but crucial dimension in the definition of AGI, involving difficult problems such as metacognition, intrinsic motivation, and the balance between exploration and exploitation.72% similarUnverifiedLiang Wenfeng believes the next bottleneck in AGI development is continual learning, and that once models can learn continuously like humans they will be capable of anything.71% similarUnverified梁文锋将AGI发展描述为阶梯：CoT之后是Agent，下一个核心问题是持续学习70% similarUnverified梁文锋认为AGI发展的下一个核心问题是持续学习，当前不缺品味和直觉而缺持续学习能力69% similar
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