Logic is sensitive to the meaning of words to a degree and so if I can pick out the context to apply certain deductive rules, then I know what the relevant words mean, at least to the degree that they indicate logical structure.
It's possible that a program could learn when to apply certain rules based on its own if-then statements and bypass understanding, but that's not the architecture of GPT-3. If it learns the statistical/structural properties of a string of text such that it can apply the correct logical transformations based on context, the default assumption should be that it has some rudimentary understanding of the logical structure.
It's possible that a program could learn when to apply certain rules based on its own if-then statements and bypass understanding, but that's not the architecture of GPT-3. If it learns the statistical/structural properties of a string of text such that it can apply the correct logical transformations based on context, the default assumption should be that it has some rudimentary understanding of the logical structure.