How to Raise Your Artificial Intelligence: A Conversation
Alison Gopnik and Melanie Mitchell discuss AI complexities, emphasizing limitations of large language models (LLMs). They stress the importance of active engagement with the world for AI to develop conceptual understanding and reasoning abilities.
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Alison Gopnik and Melanie Mitchell discuss the complexities of artificial intelligence (AI) in a conversation focusing on the limitations and potential of current AI systems, particularly large language models (LLMs). They argue that intelligence goes beyond statistical patterns and requires active engagement with the world to create mental models. LLMs, while impressive in processing vast amounts of text, lack the ability to interact with the world and test the accuracy of their knowledge. The conversation delves into the challenges AI faces in developing concepts, conducting experiments, and constructing mental models akin to human cognition. Gopnik and Mitchell highlight the importance of AI systems actively engaging with the world to enhance their understanding and problem-solving abilities, drawing parallels between AI development and the evolution of intelligence in living organisms. They emphasize the need for AI to move beyond statistical associations towards developing conceptual understanding and the ability to reason counterfactually.
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