(1999) - "Spending on Amazon warehouses Is at Epic Levels. Will It Ever Pay Off?"
Amazon weren't spending a single digit percentage of GDP on GPUs with a shelf life measured in just a few years though.
Spending on AI Is at Epic Levels. Will It Ever Pay Off?
11–20 of 84 posts
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#12Yes
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#13Not 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 babysitti…
What are you trying to use LLMs for and what model are you using?
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#14Not 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…
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Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#15Is it possible all this capital would be better deployed creating value through jobs that leverage human creativity?
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#16Pay off for who? After learning about "The Gospel" [0], does anyone else wonder if spending on AI is actually just an arms race?
[0] https://en.wikipedia.org/wiki/AI-assisted_targeting_in_the_G...
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#17Is it possible all this capital would be better deployed creating value through jobs that leverage human creativity?
Meat-based LLMs trained for billions of years are underrated! Too bad they need healthcare (and sleep).
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#18It’s not like anyone is going in debt to pay for gpu’s though. So it’s probably ok. Now if banks start selling 30 year mortgages for gpu’s, I might get a little worried.
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#19Not 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 babysitti…
Could you give an example of a prompt?
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#20Not 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 babysitti…
> 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".
Most likely by trying to get a promotion or bonus now and getting the hell out of Dodge before anyone notices those subtle landmines left behind :-)