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GPT is all you need for the back end

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Re: GPT is all you need for the back end

#21

Yes I could do that. I could indeed invoke something that requires god-knows how many tensor cores, vram, not to mention the power requirements of all that hardware, in order to power a simple CRUD App. Or, I could not do that, and instead have it done by a sub-100-lines python script, running on a battery powered Pi.

You don't actually think this is serious, do you?

I didn't get this was a joke ...if it is indeed then this is more of a troll than a post.

Re: GPT is all you need for the back end

#22

Earlier quoted context omitted.

You don't actually think this is serious, do you?

I promise that even if this is a joke, people will see this and take it seriously, implement it and preach it seriously to other people. It's impossible to make jokes online if you don't want to have harmful effect on the world.

Richard’s Pied Piper box was certainly a parody on this very real thing that happens.

Re: GPT is all you need for the back end

#23

Yes I could do that. I could indeed invoke something that requires god-knows how many tensor cores, vram, not to mention the power requirements of all that hardware, in order to power a simple CRUD App. Or, I could not do that, and instead have it done by a sub-100-lines python script, running on a battery powered Pi.

[deleted]

Re: GPT is all you need for the back end

#24
post #5
post #2

Obviously a sensationalised title, but it's a neat illustration of how you'd apply the language models of the future to real tasks.

Would be ridiculously inefficient, while also being nondeterministic and opaque. Impossible to debug, verify, or test anything, and thus would be unwise to use for almost any kind of important task. But maybe for a very forgiving task you can reduce developer hours. As soon as you need to start doing any kind of custom training of the model, then you are reintroducing all developer costs and then some, while the othe…

> Would be ridiculously inefficient, while also being nondeterministic and opaque. Impossible to debug, verify, or test anything, and thus would be unwise to use for almost any kind of important task.

Not to defend a joke app, but I have worked in “serious” production systems that for all intents and purposes were impossible to recreate bugs in to debug. They took data from so many outside sources that the “state” of the software could not be easily replicated at a later time. Random microservice failures littered the logs and you could never tell if one of them was responsible for the final error.

Again, not saying GPT backend is better but I can definitely see use-cases where it could power DB search as a fall-through condition. Kind of like the standard 404 error - did you mean…?

Re: GPT is all you need for the back end

#25

Earlier quoted context omitted.

You don't actually think this is serious, do you?

I promise that even if this is a joke, people will see this and take it seriously, implement it and preach it seriously to other people. It's impossible to make jokes online if you don't want to have harmful effect on the world.

Is this just another face of Poe's law?

Re: GPT is all you need for the back end

#28

Yes I could do that. I could indeed invoke something that requires god-knows how many tensor cores, vram, not to mention the power requirements of all that hardware, in order to power a simple CRUD App. Or, I could not do that, and instead have it done by a sub-100-lines python script, running on a battery powered Pi.

I mean, I could think of thousands of apps which amount to LLMs are not perfect, and can't enforce a guaranteed logical flow - however I wouldn't be surprised if this changes within the next ~3 years. A lot of low effort CRUD/analytics/data transformation work could be automated.
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