Understanding is a hypothesis, so it can be wrong.
Understanding is a hypothesis", so it must be "Validated by Action".
Conversely, "understanding" before it is verified is "something that could be wrong," so it can be wrong
Even if you read a good textbook that says the right thing, the reader may not understand it and may misinterpret it.
This understanding acquisition process is a "error-tolerant process" and thus can use "error-prone algorithms" such as LLM.
In this respect, the criticism that "LLMs sometimes give incorrect answers" is misplaced.
As in Industrial Applications of Machine Learning, even if the probability of a correct answer is not 100%, it is useful if the expected value obtained exceeds that of the conventional method.
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