Not sure that's true, or at least people vastly underestimate just how surface level these models are. You left the most egregious example from the article out.
"“A robin is a ____” it correctly answers “bird”. Unfortunately, if you insert the word not (“A robin is not a ___”) you get exactly the same thing. As AI ethics expert Timnit Gebru and her collaborators put it, these systems are “stochastic parrots” that do a decent job of mimicry but utterly lack the depth of understanding that general artificial intelligence will require."
If openAI would state on its about page "we build APIs that do stochastic inferences on text and build editor tools" then I don't think anyone would argue anything. But if you withhold your models for 'safety reasons' to huge press fanfare and act like the singularity is around next year every time you make a bigger model it becomes a little ridiculous.
People like Judea Pearl asking what the theoretical answer to the fundamental limitations of these data driven approaches is if you're starting a gigantic foundation is valid.
Not sure that's true, or at least people vastly underestimate just how surface level these models are. You left the most egregious example from the article out.
"“A robin is a ____” it correctly answers “bird”. Unfortunately, if you insert the word not (“A robin is not a ___”) you get exactly the same thing. As AI ethics expert Timnit Gebru and her collaborators put it, these systems are “stochastic parrots” that do a decent job of mimicry but utterly lack the depth of understanding that general artificial intelligence will require."
If openAI would state on its about page "we build APIs that do stochastic inferences on text and build editor tools" then I don't think anyone would argue anything. But if you withhold your models for 'safety reasons' to huge press fanfare and act like the singularity is around next year every time you make a bigger model it becomes a little ridiculous.
People like Judea Pearl asking what the theoretical answer to the fundamental limitations of these data driven approaches is if you're starting a gigantic foundation is valid.