I paid a bit of attention to this paper and the phrase 'stochastic parrots' when it came out and i thought this was worth saying and doing at that time. their suggestions about financial and environmental costs are worth studying, their concern about carefully evaluating datasets to feed to the model rather than feeding the entire internet is fully justified. so - to everyone saying this was a bad paper; if you have…
The contention that there is no grounding because the training data is linguistic and thus can only reference a world model is disproven in "This sentence has five words"- there's real, grounded information about what "five" means within that sentence. While that's a trivial counterexample, I don't know that it's an obvious one (I didn't come up with it myself). It's not a criticism of the paper itself, but multimoda…
did you think this through?
imagine the sentence was "This sentence has four words", now extrapolate that to all the shit that can exist in a dataset and train a model on that dataset - do you know what will happen? - go ahead and think it through.