Through a simple language prediction task on Amazon reviews in 2000, the OpenAI team discovered that a neural network developed a neuron that accurately classified sentiment. Despite being trained solely on predicting the next token, the model unexpectedly learned implicit sentiment analysis, showcasing that semantics can naturally emerge from a syntactic process.

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