kanyethegreat

All these people commenting on the positive relationship between amount of code and technical debt. Generative AI can refactor code too (making it smaller)

> Do not reveal the problem to others until it has been resolved,

sorry, probably shouldn't have pointed that out. noted for future reference.

aside: big fan of Supabase, Paul! it's a pleasure using it!

Lol, has their SB creds. Someone could do a bunch of stuff with that

> Apple, nVidia, and Intel could bring serious hurt to software companies in the next 5-10.

What does that mean? What software companies?

Love your writing, Will. Have both of your books!

i just asked it about safetensors today! also, got a response that amounted to "i don't know what that is. i'm guessing it's X"

nice. general question: how many lines of code (at 120 char col len) could you send in one prompt?

also, the entire thing is literally 60 lines of python. sometimes i don't get what gets upvoted on HN anymore

> Permissively Licensed: Trained only on permissively-licensed repos to avoid legal risks

You’re fine-tuning the model. What model are you fine-tuning? I can’t imagine you trained your own LLM from scratch, so how can you possibly guarantee the core model wasn’t trained on non-permissively licensed code?

Not sure why you’re getting downvoted. I’m also curious where these people are going to earn massive comp.

that first plugin is genius! i'm totally gonna give it a go tomorrow!

edit: just opened the second. even better!

loved this. when you say

> They also can't code - the degree to which my teams sucked was basically directly correlated to how good my manager's people skills were _and_ whether they had programming experience

do you mean your manager knowing how to code correlated to a good or bad team?

Thank you very much for your thought-out response. I really appreciate the effort. I will certainly watch the linked video.

How valid are the actionable insights? Is there one set ideal each person should match, or is it individualistic?

did you track causation? like what diet changes led to the behavioral changes?

where can i get more content of the flavor hard data science work that goes into doing “machine learning” at scale? i'm tired of indefensible projects built on OpenAI's APIs