Unverified50% confidenceOpinionExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
Related Claims
UnverifiedLiang 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.80% 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75% similarUnverifiedGaurav Sen 认为从底层往上爬的学习路径往往让新手半途而废，学到RAG、AI代理时学习动力已消耗殆尽60% similarUnverifiedExisting Agent tutorials mainly suffer from two types of problems: one is piling up jargon, and the other is content that is too lengthy and fragmented.57% similarUnverifiedJohn Carmack认为AGI的核心障碍是算法而非算力，倾向于探索'小而精'的实验性路径57% similar
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