Not to put too fine a point on it, but you’re just wrong that these are easy problems. NLP is hard because language is remarkably complex. NLP is also hard because it feels so easy from the inside—I can easily tell what that pronoun refers to, goes the thinking, so it should be easy for the computer! But it’s not, fully understanding language is very plausibly AI-complete.
Even topic classification (which is what you need to reliably censor certain subjects), though it seems simple, has literal decades of research and is not all that close to being solved.
So I think you should update much more towards “NLP is much harder than I thought” rather than “OpenAI should be embarrassed at how crappy their NLP is”.
Not to put too fine a point on it, but you’re just wrong that these are easy problems. NLP is hard because language is remarkably complex. NLP is also hard because it feels so easy from the inside—I can easily tell what that pronoun refers to, goes the thinking, so it should be easy for the computer! But it’s not, fully understanding language is very plausibly AI-complete.
Even topic classification (which is what you need to reliably censor certain subjects), though it seems simple, has literal decades of research and is not all that close to being solved.
So I think you should update much more towards “NLP is much harder than I thought” rather than “OpenAI should be embarrassed at how crappy their NLP is”.
I agree. “Solving” natural language is incredibly hard. We’re looking at toddler steps here.
Meanwhile, I’ve been having fun guiding ChatGPT to a Girardian interpretation of Steven Spielberg’s “Jaws.”