14,936 karma · joined May 21, 2020
And a perfect (or near-perfect) spec is actual source code. And that's where I see myself with LLMs. They are great about generating source code. They are terrible at writing well-specified software, and so they need a lot of context: docs, plans, existing source code, existing templates or examples. And even then, they still need a lot of guidance.
Every time I open my phone, Google has a new "busy/loading" icon. Why?!
I use these latest available public models daily in max effort modes, and they barely seem to work and need extreme guidance and as much context and constraints as possible.
Aside from technological and scientific progress in the medical field, it's generally been shown that people's lives have gotten worse.
`poetry install` does the same thing except for downloading Python.
I transitioned from Poetry to uv. Other than being mildly faster and providing workspaces, uv doesn't really change at all how one interacts with and manages a project. And in fact, uv just adds additional quirks and gotchas and limitations, including storing authorization keys in plain text.
uv also duplicated things in the Python ecosystem but then didn't implement the same feature sets, so you often end up needing to call the existing tool, just like you did in Poetry.
Apple just outputs propaganda so that they can sell everyone overpriced earpods.
What is inconvenient about any of those things?
What does the stock market have to do with anything?
That's extremely hard to believe. First, one question arises: what are the 12 million lines doing if they're not needed? Secondly, don't those 12 million lines build up the theory that is eventually proved? Mistakes could be there that makes the outer statement seem like something it isn't, could there not be?
So my question is whether people have actually checked that the generated program, all 12 million lines of it, has the statements that are expected.