Recent submissions

Comment · 3 days ago
People care more about money than morals and ethics and just being a decent human being and citizen.
Comment · 3 days ago
What are use cases of libghostty? Is it for building things like the terminal inside VS Code or any other such GUI application?
Comment · 4 days ago
> I suppose I could also sit there and spend 9 hours writing out a "perfect spec" but we've already tried that with waterfall development!

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.

Comment · 4 days ago
Then what are you doing different if this hasn't been your experience? You're just throwing AI at things you don't know how to do, and it does those things successfully?
Comment · 4 days ago
Was it? Word, PowerPoint, Keynote, paid software, etc. all used to actually work. And you got support. You weren't just leeched off of through subscription payments. And things worked. There's been very little improvement in software tools that tracks the improvement in hardware speeds and programming languages. It feels like software gets slower and slower every year, with every day bogged down by up to dozens of different bugs encountered and poor feature improvements.

Every time I open my phone, Google has a new "busy/loading" icon. Why?!

Comment · 4 days ago
How are people getting these results? Are they correct?

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.

Comment · 5 days ago
Why is that even in such a filing? What is the relevance?
Comment · 5 days ago
Well, I'm just waiting for these numbers to somehow reflect the reality everyone is feeling.
Comment · 6 days ago
Okay. If it's an accurate weighted average, what is decreasing in cost so much and weighted enough that it keeps the inflation percentage as low as it is normally presented?
Comment · 6 days ago
Are you able to share what the assignment was?
Comment · 6 days ago
How does inflation explain $5/gallon gas or $3,000 single bedroom apartment rent or $300 grocery bills for a few grocery bags or $50 to ship small packages or any other ridiculous cost increases we experience?
Comment · 6 days ago
> Our lives improved tremendously by technology

Aside from technological and scientific progress in the medical field, it's generally been shown that people's lives have gotten worse.

Comment · 6 days ago
Yea, it's interesting. My comment is negative in votes, but I went back to it to see. Everything I said is factual, so I don't know. People are endlessly impressed by uv's whizbang speed, it seems. In reality, it's _yet another tool_ trying to reinvent the Python ecosystem.
Comment · 7 days ago
From a user's point of view and an operational standpoint, that is how they work. Mix is the same way in terms of calling tools as subcommands. But it doesn't matter. You get a default experience with `cargo` and `mix` driving everything.
Comment · 7 days ago
> In a uv project I can just git clone, cd, uv sync and I am ready to go. Nothing in the python ecosystem offered that before.

`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.

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