I have to test it with Copilot for work. So far, in my experience its “enhanced capabilities” mostly involve doing things I didn’t ask it to do extremely quickly. For example, it massively fucked up the CSS in an experimental project when I instructed it to extract a React element into its own file.
That’s literally all I wanted it to do, yet it took it upon itself to make all sorts of changes to styling for the entire application. I ended up reverting all of its changes and extracting the element myself.
Suffice to say, I will not be recommending GPT 5 going forward.
That’s my problem with “AI” in general. It’s seemingly impossible to “engineer” a complete piece of software when using LLMs in any capacity that isn’t editing a line or two inside singular functions. Too many times I’ve asked GPT/Gemini to make a small change to a file and had to revert the request because it’d take it upon itself to re-engineer the architecture of my entire application.
We moved to m365 and were encouraged to try new elements. I gave copilot an excel sheet, told it to add 5% to each percent in column B and not to go over 100%. It spat out jumbled up data all reading 6000%.
I have to test it with Copilot for work. So far, in my experience its “enhanced capabilities” mostly involve doing things I didn’t ask it to do extremely quickly. For example, it massively fucked up the CSS in an experimental project when I instructed it to extract a React element into its own file.
That’s literally all I wanted it to do, yet it took it upon itself to make all sorts of changes to styling for the entire application. I ended up reverting all of its changes and extracting the element myself.
Suffice to say, I will not be recommending GPT 5 going forward.
That’s my problem with “AI” in general. It’s seemingly impossible to “engineer” a complete piece of software when using LLMs in any capacity that isn’t editing a line or two inside singular functions. Too many times I’ve asked GPT/Gemini to make a small change to a file and had to revert the request because it’d take it upon itself to re-engineer the architecture of my entire application.
We moved to m365 and were encouraged to try new elements. I gave copilot an excel sheet, told it to add 5% to each percent in column B and not to go over 100%. It spat out jumbled up data all reading 6000%.
Ai assumes too fucking much. I’d used it to set up a new 3D printer with klipper to save some searching.
Half the shit it pulled down was Marlin-oriented then it had the gall to blame the config it gave me for it like I wrote it.
“motherfucker, listen here…”