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lmao… when you give an LLM unlimited power and an ill-defined role, it assumes the position of a shitty project manager, of course
It’s learning capabilities are clearly unrivaled
I kinda feel like GPT is if you skipped college and just went with the apprenticeship strategy but it’s apprenticeship was with Reddit posts
Good enough but every now and then has some wildly inaccurate shit sprinkled in just enough to make you question the integrity of the whole thing.
LLMs (unless implemented with general knowledge AI) will never be accurate or more than a novelty toy. It’s close to being iRobot but right now it’s just an abacus. The future won’t be about one model, it’ll be about orchestration of models or the development of model ecosystems to make a better overall symphony as the product/tool
Oh! I can do better than the LLM to write code:
// TODO (Linus Torvalds) write this app for me, kthxbye.From : torvalds@klaava.helsinki.FI
🖕
@torvalds@social.kernel.org has a fedi account.
Oh nice! Does this exist for EU as well?
lol, did you post Xcrement of a post from Bluesky.
im so sad that people are going to bluesky instead of mastadon
I really tried, a few times and I just can’t make it exciting. I find it so boring to search for people and tags I wantto follow. That said, I wasn’t a huge Twitter user before, and i don’t have bluesky. I’m just hoping one day, mastodon clicks with me.
You’re like me you just don’t like user-based sites, I simply much prefer to follow topics than people, I fucking hate people why would I follow them online.
“Why are people not using Mastodon?”
Mastodon Users: “lololol you are posting excrement from an inferior platform”
You could just… Not engage with posts you don’t like, y’know?
the fuck? i didnt mention mastodon at all. please never join mastodon.
Does anybody mind explaining, how this might have happened?
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.
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)
