Which is that they don’t understand how statistics and probability work. The LLM generalizes patterns that get imprinted on the neural network during training, and then these patterns are expressed in the given context during inference. The stochastic aspect of the system is what allows the LLM to adopt generalized training to the specific problem being solved. So, the outputs LLMs produced are clearly not random in a sense of playing bingo because randomness is not the dominant property of the system.
Which is that they don’t understand how statistics and probability work. The LLM generalizes patterns that get imprinted on the neural network during training, and then these patterns are expressed in the given context during inference. The stochastic aspect of the system is what allows the LLM to adopt generalized training to the specific problem being solved. So, the outputs LLMs produced are clearly not random in a sense of playing bingo because randomness is not the dominant property of the system.