I believe that the big takeaway from GPT-3 experimental results is not about a potential path to general human-level intelligence, but rather about the observat

I believe that the big takeaway from GPT-3 experimental results is not about a potential path to general human-level intelligence, but rather about the observation that so many of the "intelligence-related" practical tasks that we wanted to solve (and could not before) don't really need human intelligence or anything close to it; that apparently pattern-recognition-on-steroids gets us close enough to automate tasks for which we mistakenly thought that actual intelligence is necessary. If a stochastic parrot can do a complex task, it does not tell much about the intelligence of that system, but it does tell a lot about the properties of that task.