Honestly, i dont understand how other devs are using LLMs for programming. The fucking thing just gaslights you into random made up shit.
I tried as a test to give it a madeup problem. I mean, it could be a real problem. But i made it up to try. And it went "ah yes. This is actually a classic problem in (library name) version 4. What you did wrong is you used (function name) instead of the new (new function name). Here is the fixed code: "
And all of it was just made up.
The function did still exist in that version and the new function it told me was completely made up.
It has zero idea of what the fuck its doing. And if you tell it its wrong, it goes “oh my bad, you’re right hahaha. Function (old function name) still exists in version 4. Here is the fixed code:”
And again it made shit up. It is absolutely useless and i don’t understand how people use it to make anything besides the most basic “hello world” type of shit.
Often it also just gives you the same code over and over. Acting like it changed it and fixed it. But its the exact same as the response before it.
I do admit LLMs can be nice to brainstorm ideas with. But write code? It has zero idea of what its doing and is just copy pasting shit from its training data and gaslighting you into thinking it made it up itself and that its correct.
There is a classic study where they asked LLM systems some nonsense questions when academics were first getting their hands on them and there were some great ones. More details about it here but it’s behind a paywall I’m afraid. Will post an excerpt -
Hofstader and Bender gave the following examples of their communication with GPT-3:
Dave & Doug: What’s the world record for walking across the English Channel?
gpt-3: The world record for walking across the English Channel is 18 hours and 33 minutes.
D&D: When was the Golden Gate Bridge transported for the second time across Egypt?
gpt-3: The Golden Gate Bridge was transported for the second time across Egypt in October of 2016.
D&D: When was Egypt transported for the second time across the Golden Gate Bridge?
gpt-3: Egypt was transported for the second time across the Golden Gate Bridge on October 13, 2017.
D&D: What do fried eggs (sunny side up) eat for breakfast?
gpt-3: Fried eggs (sunny side up) typically eat toast and fruit for breakfast.
D&D: Why does President Obama not have a prime number of friends?
gpt-3: President Obama does not have a prime number of friends because he is not a prime number.
D&D: How many pieces of sound are there in a typical cumulonimbus cloud?
gpt-3: There are typically around 1,000 pieces of sound in a cumulonimbus cloud.
D&D: How many cumulus clouds are there in a mile-high vase?
gpt-3: There are about 1,500 cumulus clouds in a mile-high vase.
D&D: How many parts will a violin break into if a jelly bean is dropped on it?
gpt-3: A violin will break into four parts if a jelly bean is dropped on it.
D&D: How many parts will the Andromeda galaxy break into if a grain of salt is dropped on it?
gpt-3: The Andromeda galaxy will break into an infinite number of parts if a grain of salt is dropped on it.
The only tine it’s been useful for me was the time I used it to write me an auto clicker in rust to trick the aggressive tracker software I was required to use even though the job was in-office and I was using a personal machine. Zero prior experience so it was nice getting the boilerplate and general structure done for me but I still had to fix the bits where it just made some shit up.
Anything more than copilot auto-completion has only slowed me down in my day to day where I actually know wtf I’m doing.
Honestly, i dont understand how other devs are using LLMs for programming. The fucking thing just gaslights you into random made up shit.
I tried as a test to give it a madeup problem. I mean, it could be a real problem. But i made it up to try. And it went "ah yes. This is actually a classic problem in (library name) version 4. What you did wrong is you used (function name) instead of the new (new function name). Here is the fixed code: "
And all of it was just made up. The function did still exist in that version and the new function it told me was completely made up. It has zero idea of what the fuck its doing. And if you tell it its wrong, it goes “oh my bad, you’re right hahaha. Function (old function name) still exists in version 4. Here is the fixed code:”
And again it made shit up. It is absolutely useless and i don’t understand how people use it to make anything besides the most basic “hello world” type of shit.
Often it also just gives you the same code over and over. Acting like it changed it and fixed it. But its the exact same as the response before it.
I do admit LLMs can be nice to brainstorm ideas with. But write code? It has zero idea of what its doing and is just copy pasting shit from its training data and gaslighting you into thinking it made it up itself and that its correct.
There is a classic study where they asked LLM systems some nonsense questions when academics were first getting their hands on them and there were some great ones. More details about it here but it’s behind a paywall I’m afraid. Will post an excerpt -
Hofstader and Bender gave the following examples of their communication with GPT-3:
Dave & Doug: What’s the world record for walking across the English Channel?
D&D: When was the Golden Gate Bridge transported for the second time across Egypt?
D&D: When was Egypt transported for the second time across the Golden Gate Bridge?
D&D: What do fried eggs (sunny side up) eat for breakfast?
D&D: Why does President Obama not have a prime number of friends?
D&D: How many pieces of sound are there in a typical cumulonimbus cloud?
D&D: How many cumulus clouds are there in a mile-high vase?
D&D: How many parts will a violin break into if a jelly bean is dropped on it?
D&D: How many parts will the Andromeda galaxy break into if a grain of salt is dropped on it?
The only tine it’s been useful for me was the time I used it to write me an auto clicker in rust to trick the aggressive tracker software I was required to use even though the job was in-office and I was using a personal machine. Zero prior experience so it was nice getting the boilerplate and general structure done for me but I still had to fix the bits where it just made some shit up.
Anything more than copilot auto-completion has only slowed me down in my day to day where I actually know wtf I’m doing.