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The case against predicting tokens to build AGI
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The case against predicting tokens to build AGI
In a debate with DeepMind researcher Adam Brown, Meta's Chief AI Scientist Yann LeCun explained why Large Language Models (LLMs) represent a dead end on the path to human-like intelligence. The fundamental issue, LeCun argues, lies in the way these models make predictions. The article The case against predicting tokens to build AGI appeared first on THE DECODER.
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