AI的可持续提升天花板在哪里？是否见顶？ 当前LLM 不具备 ...
Quick Answer
Andrej Karpathy argues that current Large Language Models (LLMs) are limited by their inability to learn continuously, labeling them as 'frozen intelligence.' He predicts that achieving Artificial General Intelligence (AGI) is still about a decade away, primarily due to the lack of continuous learning and multimodal capabilities.
Key Points
- Current are criticized for being static and not learning from ongoing experiences.
- Karpathy estimates AGI is still a decade away due to current technological limitations.
- The key missing elements in LLMs are continuous learning and multimodal integration.
Article Excerpt
From source RSS / original summary是死路，理由是其不从持续经验中学习，属于“冻结的智能”。 --Andrej Karpathy：AGI 仍有约十年距离；当前缺失项为持续学习与多模态。
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