bmitc

You need to go to China then. There are dozens of manufacturers other than BYD. It's astonishing just how many sexy EVs there are driving around in China.

People care more about money than morals and ethics and just being a decent human being and citizen.

What are use cases of libghostty? Is it for building things like the terminal inside VS Code or any other such GUI application?

> 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.

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?

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?!

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.

Why is that even in such a filing? What is the relevance?

Well, I'm just waiting for these numbers to somehow reflect the reality everyone is feeling.

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?

Are you able to share what the assignment was?

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?

> 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.

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.

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.

> 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.

Poetry?

That's how Rust's Cargo and Elixir's Mix both work.

It's a clear indication that the models aren't as good as they say, market, and hype up. The model companies also don't want to actually be responsible for anything. By building real products that interact with the real world, they then become responsible for those products' failures. But if they just sell tokens and say the models are "for entertainment purposes", then they get away without having any responsibility.

The Sony Xperia is thinner and lighter than any iPhone and has the same IP rating.

Apple just outputs propaganda so that they can sell everyone overpriced earpods.

> It’s apparently cool to lament headphone jacks, or field replaceable batteries, but the inconvenience of them means nobody would be using them anyway.

What is inconvenient about any of those things?

Why would you buy the dip of an unprofitable enterprise?

It's always sad to me the atrocities that can be committed if you do them behind a corporation that makes people a lot of money.

Not with humans.

BP's revenue in the last 30 years is over $6.5 trillion. Other than the bad press and some lost coins, they don't really give a shit.

Isn't that "doing math" in the same way that every other experienced professional "does <x>"?

Sources?

What does the stock market have to do with anything?

> All 12 million lines do not need to be checked

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?

Rich people in general have this belief, that they somehow got there by objective means and via their superior intellect. I just watched an interview the other day that someone posted where Sam Altman described using a notebook (yes literally pencil and paper) but was describing it as if he had discovered fire. These people are literally blinded by their money.

A Lean program that compiles proves what it states. The question is whether the program states what we think it does. If I recall, this program is 12 million lines long. Mathlib is not perfect, and it's not hard at all to have a Lean statement that isn't what you think it is.

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.