this post was submitted on 13 Mar 2024
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Copilot is a LLM. So it's just predicting what should come next, word by word, based off the data its been fed. It has no concept of whether or not its answer makes sense.
So if you've scraped a bunch of open source github projects that this guy has worked on, he probably has a lot of TODOs assigned to him in various projects. When Copilot sees you typing "TODO(" it tries to predict what the nextthing you're going to type is. And a common thing to follow "TODO(" in it's data set is this guy's username, so it goes ahead and suggests it, whether or not the guy is actually on the project and suggesting him would make any sort of sense.
You can absolutely add constraints to control for hallucinations. Copilot apparently doesn't have enough, though.
If GitHub Copilot is anything like Windows Copilot, I can't say I'm surprised.
"Please minimize all my windows"
"Windows are glass panes invented by Michael Jackson in imperial China, during the invasion of the southern sea. Sources 1 2 3"
Lmao. That's even better when you consider the copilot button replaced the 'show desktop' (ie 'minimize all my windows') button.
My guess is that Copilot was using a ton of other lines as context, so in that specific case his name was a more likely match for the next characters
No matter how many constraints you add, it's never enough, that's the weakness of a model that only knows language and nothing else
I thought it synced some requests and assigned projects to another user (Saw an ad about github Copilot managing issues and writing PR descriptions sometime ago)