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Spending on AI Is at Epic Levels. Will It Ever Pay Off?

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Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?

#6
Not egregious API spending, but ChatGPT Pro was been one of the best investments our company has paid for.

It is fantastic at reasonable scale ports / refactors, even with complicated subject matter like insurance. We have a project at work where Pro has saved us hours of time just trying to understand the over complicated that is currently in place.

For context, it’s a salvage project with a wonderful mix of Razor pages and a partial migration to Vue 2 / Vuetify.

It’s best with logic, but it doesn’t do great with understanding the particulars of UI.

Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?

#8

Not egregious API spending, but ChatGPT Pro was been one of the best investments our company has paid for. It is fantastic at reasonable scale ports / refactors, even with complicated subject matter like insurance. We have a project at work where Pro has saved us hours of time just trying to understand the over complicated that is currently in place. For context, it’s a salvage project with a wonderful mix of Razor p…

How are you getting these results? Even with grounding in sources, careful context engineering and whatever technique comes to your mind we are just getting sloppy junk out of all models we have tried.

The sketchy part is that LLMs are super good at faking confidence and expertise all while randomly injected subtle but critical hallucinations. This ruins basically all significant output. Double-checking and babysitting the results is a huge time and energy sink. Human post-processing negates nearly all benefits.

Its not like there is zero benefit to it, but I am genuinely curious how you get consistently correct output for a "complicated subject matter like insurance".

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