I have some familiarity with AI but I am certainly no expert.
Can you explain how can you reconcile this with a huge critique of some top AI experts? What if you are not a domain expert? How dangerous is it to go on a false path? Would a similar comment “I have some familiarity with physics but I am no expert” be good for critique of a fluid dymanics paper?
I think your questions are at least partly answered by the remainder of that paragraph:
I am a computational physicist, so I do have familarity with computational modelling, and the actual model used in this forecast is fairly simple at only 300 lines of code or so (which is not necessarily a bad thing). In this article I will do my best to stay in my lane, and simply explain to you the assumptions and structure of their model, and then explain the various problems I have with what they did.
Do you have more specific criticisms, e.g. ways in which they failed to ‘stay in my lane’ or reasons why they can’t make a meaningful contribution from within their lane?
my criticism is that the article is written in a way that is categorically “correcting for a faulted model” from an outsider. Yes you can suggest corrections of course if there is a blatant mistake. But the assumptions are the most important in these models and assumptions are best done by people that have worked and contributed in the top AI labs.
Can you explain how can you reconcile this with a huge critique of some top AI experts? What if you are not a domain expert? How dangerous is it to go on a false path? Would a similar comment “I have some familiarity with physics but I am no expert” be good for critique of a fluid dymanics paper?
I think your questions are at least partly answered by the remainder of that paragraph:
Do you have more specific criticisms, e.g. ways in which they failed to ‘stay in my lane’ or reasons why they can’t make a meaningful contribution from within their lane?
my criticism is that the article is written in a way that is categorically “correcting for a faulted model” from an outsider. Yes you can suggest corrections of course if there is a blatant mistake. But the assumptions are the most important in these models and assumptions are best done by people that have worked and contributed in the top AI labs.