The article illustrates that modern AI language models function like individuals suffering from temporary amnesia, having to reconstruct their understanding with every new token generated. They effectively clear their 'mind' before each token, relying solely on previous outputs—a concept likened to a notebook. This method poses challenges for maintaining coherent reasoning, particularly in longer sequences. However, these models have become skilled in probabilistically reconstructing context from prior tokens, enabling complex problem-solving and semantic reasoning that demonstrate their advanced capabilities.
Imagine if you got temporary amnesia between every word you spoke; that's how AI language models operate, wiping their 'mind' clean with each token.
Every token becomes a decision point, forcing the model to rebuild its contextual understanding, revealing the model's evolved ability to maintain coherent reasoning.
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