Retrieving numbers via ChatGPT and then feeding it into Excel via APIs seems like a very odd thing to do. Especially when most of these numbers are already available on Yahoo finance for individual investors and CapitalIQ for professionals.
59 karma · joined August 5, 2014
Retrieving numbers via ChatGPT and then feeding it into Excel via APIs seems like a very odd thing to do. Especially when most of these numbers are already available on Yahoo finance for individual investors and CapitalIQ for professionals.
I doubt any finance professional would want to move from Excel to ChatGPT for these use cases.
A secondary issue is that numbers in financial reports need to be standardized before they can be used for analysis - say comparing ROE of a stock with industry average. That’s not possible with numbers from raw reports.
Computing has become a part of every major industry and computer science by itself is closer to applied math and such fields, valuable but by itself not very useful.
Most professionals in most industries need to know quite a bit of computing skills to be effective.
But when it really picks up the impact will be as big as when Dutch invented modern finance in early 1600s.
But subscription revenue is now a much bigger part of NYT’s overall revenue and ad tech CPMs are declining year over year. So it’s not a hard decision anymore.
But why doesn’t it also say that $X billion of a16z money will he allocated for such investments in the next 3 years?
Why will anyone want to use IPFS for data storage without an availability and latency guarantee?
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