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
Today, my last 3 messages to Gemini were all pretty much: "cool! We're agreed on the framework and tone etc in which you'll communicate this thing to me. Now please, create the fucking thing already"
Because if you didn’t know better, someone seeing “TODO(April)” would probably assume it means “do this sometime in April.” Especially since we’re in the middle of March, with April just around the corner. She’s probably about to get e-mail bombed by git requests.
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.
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.
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)
It’s no different from GPT knowing the plot of Aliens or who played the main role in Matilda.
It's seen enough code to recognise the pattern, it knows an author name goes in there, and Phil Nash is likely a prolific enough author that it just plopped his name in there. It's not intelligence, just patterns.