I use copilot every day and I have zero clue what this means but I assume it has nothing to do with copilot… ?
Copilot is regurgitating the code he wrote, complete with comments addressed to himself
lol, did you post Xcrement of a post from Bluesky.
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.
“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?
Can someone explain why April is nervous about having the username April? I don’t get it
Other people reading ToDo(April) will probably assume that feature is slated for April, the month.
Oh! I can do better than the LLM to write code:
// TODO (Linus Torvalds) write this app for me, kthxbye.
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
LLMs (unless implemented with general knowledge AI) will never be accurate or more than a novelty toy.
I see Bing horribly confabulate all the time (and sometimes subsequently gaslight).
Thus I was surprised at last month’s Klarna news:
Wonder what’s going on behind the scenes.
If the AI works then fantastic. It’s inevitable so it’s going to get used by companies but the issue is companies using it without understanding what it does or what it’s capable of doing.
This is the value I see in AI is letting human agents work way faster. An AI which is trained on your previous human-managed tickets and suggests the right queue, status and response but still allows the human agents to ultimately approve or rewrite the AI response before sending would save a mountain of work for any kind of queue work and chat support work
