Lol, no. ML is not capable of writing extremely complex code.
It’s basically like having a bunch of junior devs cranking out code that they don’t really understand.
ML for coding is only really good at providing basic bitch code that is more time intensive than complex. And even that you have to check for hallucinations.
To reiterate what the parent comment of the one you replied to said, this isn’t about chat GPT generating code, it’s about using ML to create a indeterministic algorithm, that’s why in the comic it’s only very close to 12 and not 12 exactly.
I strongly disagree. ML is perfect for small bullshit like “What’s the area of a rectangle” - it falls on its face when asked:
Can we build a website for our security paranoid client that wants the server to completely refuse to communicate with users that aren’t authenticated as being employees… Oh, and our CEO requested a password recovery option on the login prompt.
The strengths of Machine Learning are in the extremely complex programs.
Programs no junior dev would be able to accomplish.
So if the post can misrepresent the issue, then the commenter can do so too.
Lol, no. ML is not capable of writing extremely complex code.
It’s basically like having a bunch of junior devs cranking out code that they don’t really understand.
ML for coding is only really good at providing basic bitch code that is more time intensive than complex. And even that you have to check for hallucinations.
To reiterate what the parent comment of the one you replied to said, this isn’t about chat GPT generating code, it’s about using ML to create a indeterministic algorithm, that’s why in the comic it’s only very close to 12 and not 12 exactly.
I strongly disagree. ML is perfect for small bullshit like “What’s the area of a rectangle” - it falls on its face when asked:
The biggest high level challenge in any tech org is security and there’s no way you can convince me that ML can successfully counter these challenges
“oh but it will but it will!”
when
“in the future”
how long in the future
“When it can do it”
how will we know it can do it
“When it can do it”
cool.