alt Hacker NewsDoes for us (data science, specialty chemistry, finding/optimizing formulas). We can get from idea to prototype in a day compared to 1-2 weeks. All that boilerplate to process data took a long time to code by hand, especially for the data science/math guys who are not programmers. Now we can actually try all ideas instead of guessing the most promising and only try that.
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I always wonder why systems are designed so poorly that it takes weeks of boilerplate to use them for their intended purpose.
At what stage did the engineering fail?
The question is: how does any of that translate into more revenue? If you try more ideas and they mostly go nowhere that's not necessarily helpful to the bottom line.
Now we can throw things at the wall, faster.
I understand there's some benefit of this. But is it worth putting the global economy into a death spiral? So ManBeardPc can save 4-9 business days to go and say "yeah, that doesn't work".
And what revenue and/or profit increases can you cite publicly as a result of the use of AI in this work?
I don’t think anyone is disputing that it makes many kinds of work easier and/or faster, just the degree of those improvements and how much of those improvements actually translate to dollars earned or saved.
Seeing hard data on that would help settle the issue.