There is a machine learning bubble, but the technology is here to stay. Once the bubble pops, the world will be changed by machine learning. But it will probably be crappier, not better.
What will happen to AI is boring old capitalism. Its staying power will come in the form of replacing competent, expensive humans with crappy, cheap robots.
AI is defined by aggressive capitalism. The hype bubble has been engineered by investors and capitalists dumping money into it, and the returns they expect on that investment are going to come out of your pocket. The singularity is not coming, but the most realistic promises of AI are going to make the world worse. The AI revolution is here, and I don’t really like it.
I’m a professional programmer and this is how I use ChatGPT. Instead of asking it “give me a script to do big complicated task” and then laughing at it when it fails, I tell it “give me a script to do <first step of the task>.” Then when I confirm that works, I say “okay, now add a function that takes the output of the first function and does <second step of the task.>” Repeat until done, correcting it when it makes mistakes. You still need to know how to spot problems but it’s way faster than writing it myself, even if I don’t have to go rummaging through API documentation and whatnot.
I mean that is exactly what programming is except you type to an AI and have it type the script. What is that good for?
Could have just typed the script in the first place.
It ChatGPT can use the API it can’t be too complex otherwise you are in for a surprise once you find out what ChatGPT didn’t care about (caching, usage limits, pricing, usage contracts)
I could write the scripts myself, sure. But can I write the scripts in a matter of minutes? Even with a bit of debugging time thrown in, and the time it takes to describe the problem to ChatGPT, it’s not even close. And those descriptions of the problem make for good documentation to boot.
And stuff like “I know there’s a library out there that does the thing I’m trying to do, what’s it named and how do I call it?”
I haven’t been using ChatGPT for the “meat” of my programming, but there are so many things that little one-off scrappy Python scripts make so much easier in my line of work.
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I’m a professional programmer and this is how I use ChatGPT. Instead of asking it “give me a script to do big complicated task” and then laughing at it when it fails, I tell it “give me a script to do <first step of the task>.” Then when I confirm that works, I say “okay, now add a function that takes the output of the first function and does <second step of the task.>” Repeat until done, correcting it when it makes mistakes. You still need to know how to spot problems but it’s way faster than writing it myself, even if I don’t have to go rummaging through API documentation and whatnot.
I mean that is exactly what programming is except you type to an AI and have it type the script. What is that good for?
Could have just typed the script in the first place.
It ChatGPT can use the API it can’t be too complex otherwise you are in for a surprise once you find out what ChatGPT didn’t care about (caching, usage limits, pricing, usage contracts)
I already explained.
I could write the scripts myself, sure. But can I write the scripts in a matter of minutes? Even with a bit of debugging time thrown in, and the time it takes to describe the problem to ChatGPT, it’s not even close. And those descriptions of the problem make for good documentation to boot.
Sure - but ChatGPT can type faster than me. And for simple tasks, CoPilot is even faster.
Also - it doesn’t just speed up typing, it also speeds up basics like “what did bob name that function?”
And stuff like “I know there’s a library out there that does the thing I’m trying to do, what’s it named and how do I call it?”
I haven’t been using ChatGPT for the “meat” of my programming, but there are so many things that little one-off scrappy Python scripts make so much easier in my line of work.