LLMs are just giant probability machines pretending to think [P]

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• The post argues that large language models (LLMs) are essentially giant probability engines, suggesting they operate by matching text tokens based on mathematical context.
• An example is provided where an LLM predicts “vault” instead of a river-related word when asked about the investor’s action at a bank, revealing how these models function internally.

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