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As always, you still have to bring your own ideas and hustle to the table. The difference is that GPT flattens the learning curve on a lot of things that would

As always, you still have to bring your own ideas and hustle to the table. The difference is that GPT flattens the learning curve on a lot of things that would previously prevent you from executing on your ideas and it helps keep the momentum up when you hit the hard part of the grind.

nr2x 3y ago
It’s amazing for prototypes and writing utility functions, but for fully scalable and supportable architecture it’s a long ways off. Likewise, it often generates very complex and confusing code - specifically regex in my experience where I can get the job done in a much more readable way. Don’t get me wrong, I use it all day as a little coding helper, but while it can say, advise you on how to set up a distributed system, it’s not rolling out VMs and DB clusters.
- throwuwu 3y ago
  Being amazing at prototypes is exactly what a one dev operation needs. You can worry about scaling after you know whether people will pay for it or not.
  - nr2x 3y ago
    100% agree and that’s what I use it for. My point is more it’s a time saver, but not a replacement for higher order operations. Yet.
- coffeebeqn 3y ago
  Yeah people haven’t used GPT enough if they think it can do all these things. Same with AutoGPT - it’s a total joke that got hyped up to high heavens. Go try to make it actually do anything of value and watch it struggle to parse Google results and get stuck in an infinite loop every time. LangChain has the right idea because you must break down the task to small parts and program the thing to do the correct thing after each step
  - nr2x 3y ago
    It’s a really good intern.
- tmzt 3y ago
  What's the fundamental difference between generating Terraform to a spec and "rolling out VMs and DB clusters"?
deleted 3y ago
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throwaway290 3y ago
And it does so for everyone else. The landscape is as flat as ever, the winning party is whoever you pay for running GPT.

nr2x 3y ago

It’s amazing for prototypes and writing utility functions, but for fully scalable and supportable architecture it’s a long ways off. Likewise, it often generates very complex and confusing code - specifically regex in my experience where I can get the job done in a much more readable way. Don’t get me wrong, I use it all day as a little coding helper, but while it can say, advise you on how to set up a distributed system, it’s not rolling out VMs and DB clusters.

throwuwu 3y ago
Being amazing at prototypes is exactly what a one dev operation needs. You can worry about scaling after you know whether people will pay for it or not.
- nr2x 3y ago
  100% agree and that’s what I use it for. My point is more it’s a time saver, but not a replacement for higher order operations. Yet.
coffeebeqn 3y ago
Yeah people haven’t used GPT enough if they think it can do all these things. Same with AutoGPT - it’s a total joke that got hyped up to high heavens. Go try to make it actually do anything of value and watch it struggle to parse Google results and get stuck in an infinite loop every time. LangChain has the right idea because you must break down the task to small parts and program the thing to do the correct thing after each step
- nr2x 3y ago
  It’s a really good intern.
tmzt 3y ago
What's the fundamental difference between generating Terraform to a spec and "rolling out VMs and DB clusters"?

deleted 3y ago

[deleted]

throwaway290 3y ago

And it does so for everyone else. The landscape is as flat as ever, the winning party is whoever you pay for running GPT.