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Culture War Roundup for the week of March 20, 2023

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New research paper attempts to quantify which professions have to most to lose from the introduction of GPTs into the larger world. From the abstract:

Our findings indicate that approximately 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of GPTs while around 19% of workers may see at least 50% of their tasks impacted.

The results vary by models but mathematics and math-related industries like accounting have the highest risk. The researchers overall found that "information processing industries (4-digits NAICS) exhibit high exposure, while manufacturing, agriculture, and mining demonstrate low exposure" (pg 15) and "programming and writing skills...are more susceptible to being influenced by language models."

I find myself wondering if "learn to code" from however long back will shortly become "learn to farm" or some such.

Accounting? This seems unreasonable. GPT is a great bullshit artist, but when it comes to precision, forget about it. Something like GPT would be likely to just make up the numbers.

(Insert Sam-Bankman Fried joke here)

It does a non-terrible job already, especially if you understand how it tends to think (and thus what you have to worry about it hallucinating).

I agree that you should probably not just use raw GPT-4 for accounting, especially complex accounting, at the moment; but I think that ignores that you would actually be able to significantly improve its accuracy and also tie it into software that helps validate the numbers it gives to close off more possible room for error. Even in the worlds where it takes ages to get to the 'completely automate away 99% of accountants' (probably due to regulation), I think you can still vastly automate the work that a single accountant can do. This would let you get rid of a good chunk of your workforce, and then have the finetuned GPT + extra-validation software make your single accountant do the work of several.