It may be rash to extrapolate from a sample size of one (me), John Thornhill jokes. What fallacy is he committing? Can you think of any other examples?
Why is memory so important if we are to reason accurately? Consider the role of memory in knowledge (do you know something if you do not remember it?)
The article quotes Maria Schnell, chief language operator at RWS, as stating, 'We have to think about how the content is received, and that is where AI struggles'. What are we doing when we think about how content is received? What knowledge does it involve? Why does AI struggle with it? What does this tell us about reasoning?
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