3 ms·

Blows my mind that people consider using ChatGPT for serious applications. I mean it's fine as a code autocorrect/autocomplete tool as in GitHub copilot. But it

Blows my mind that people consider using ChatGPT for serious applications. I mean it's fine as a code autocorrect/autocomplete tool as in GitHub copilot. But it should not replace the code itself. You encounter a bug in the code, you fix it, you never encounter it again. But ChatGPT will repeat the same mistake sooner or later. That's not how we should engineer solution for critical problems.

lucumo 3y ago
If the cost-savings is worth it compared to the problems... I mean, that's how we do it with humans. It's quite a common occurrence to keep a part of a business process human because automating it would we too expense due to edge cases. Humans make mistakes and are expensive, but are also flexible and usually smartish. ChatGPT makes mistakes and is usually dumbish, but is also flexible and cheap. Engineering is about picking the right trade-offs in your solution.
- fuzztester 3y ago
  >I mean, that's how we do it with humans. It's quite a common occurrence to keep a part of a business process human because automating it would we too expense due to edge cases. Which part of the human do people keep? The head? Arms? ;) #ParsingAmbiguityError
- fractalb 3y ago
  > ChatGPT makes mistakes and is usually dumbish, but is also flexible and cheap. People wouldn't mind it if the keyword `dumbish` has been all along there.
makoto12 3y ago
If you sandbox your connection to openAI correctly, then you can get the benefit of a llm without making your application look silly at the same time. Identifying the correct places in your business to use it is tricky, but imo it certainly makes sense in a lot of specific areas. Just not a catch all that can run your business for you
Draiken 3y ago
As long as you add the "AI" keyword to the product/app/company and sell to people that don't understand how unreliable it is, you're good. Let me rephrase that: you can profit from it. Even if it's not good.
ativzzz 3y ago
It's great for prototyping and creating outlines/rough drafts or for creating rough summaries - you can build this into some features to help your customers speed up writing lots of text

lucumo 3y ago

If the cost-savings is worth it compared to the problems... I mean, that's how we do it with humans. It's quite a common occurrence to keep a part of a business process human because automating it would we too expense due to edge cases. Humans make mistakes and are expensive, but are also flexible and usually smartish. ChatGPT makes mistakes and is usually dumbish, but is also flexible and cheap. Engineering is about picking the right trade-offs in your solution.

fuzztester 3y ago
>I mean, that's how we do it with humans. It's quite a common occurrence to keep a part of a business process human because automating it would we too expense due to edge cases. Which part of the human do people keep? The head? Arms? ;) #ParsingAmbiguityError
fractalb 3y ago
> ChatGPT makes mistakes and is usually dumbish, but is also flexible and cheap. People wouldn't mind it if the keyword `dumbish` has been all along there.

makoto12 3y ago

If you sandbox your connection to openAI correctly, then you can get the benefit of a llm without making your application look silly at the same time. Identifying the correct places in your business to use it is tricky, but imo it certainly makes sense in a lot of specific areas. Just not a catch all that can run your business for you

Draiken 3y ago

As long as you add the "AI" keyword to the product/app/company and sell to people that don't understand how unreliable it is, you're good. Let me rephrase that: you can profit from it. Even if it's not good.

ativzzz 3y ago

It's great for prototyping and creating outlines/rough drafts or for creating rough summaries - you can build this into some features to help your customers speed up writing lots of text