Reasoning in AI
Yoshua discusses the limitations of current large neural networks, highlighting their struggles with reasoning and causality. He points out that while models like GPT can appear to reason, they often falter when faced with complex tasks, revealing a fundamental weakness in their reasoning capabilities. The distinction between knowledge and its application is crucial, as effective reasoning requires a coherent integration of information to navigate from one point to another.In this clip
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Pausing More Powerful AI Models and His Work on World Models | Yoshua Bengio
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