Are you seriously asking why Airport infrastructure should support English or is it rhetorical?

If you are not a backwater that doesn't get any travelers, you should cater to tourists who, as a rule, do not speak your language. Even those tourists who do speak a few phrases will absolutely be unable to understand something as complex as a the train spilling up into two before going to the Airport.

> Why should anywhere cater to my failure to learn their language and systems? It’s nice if they do but I don’t expect it.

I certainly don't see this attitude from Germans in Spain.

This is really cool! I suck at organizing my filesystem and I've lost track of how many times I had to find _that ONE_ PDF which I KNOW I have but cannot find! This would have solved that many times over.

However, at least for my use-case, this is a very infrequent problem. So, a monthly subscription and the security risk wouldn't be worth it. Though I'm certain there are people who work with files all day and for them, this might be god-send!

Agree. One thing that we see our users doing more of is "NotebookLM style tasks" where they just drop in a bunch of files or ask the agent to download stuff and then start using the agent to do things. Summarize, create notes, answer questions, etc. We believe that an increasing amount of work with "files" will be stuff like this, and having a file system that can search all your files to do these things seemed useful enough for us to build!

I used the original Google Desktop app a long time ago and even though I didn’t need to use it often it did become my de facto way of opening/locating files (I was really bummed when they killed it).

Right? This one is also very clear ChatGPTese

> That’s not a marginal improvement; it’s a different way of building classifiers.

They've replaced an em-dash with a semi-colon.

They are really getting to the heart of the problem!

You're absolutely right! They didn't just replace an em dash with a colon, they invented a whole new way of speaking.

/s if it wasn't obvious

One of the benefits of being immersed in model usage is being able to spot it in the wild from a mile away. People really hate when you catch them doing it and call them out for it.

And people like you will hate it even more when the normies immunize themselves from being obviously caught by such tells:

https://arxiv.org/abs/2510.15061

Ah ha! But now the complete lack of emdash and bullet pointed lists from antislop will be the tell! Riposte!

Somewhat tangential but I’m curious how people are dealing with these new LLM addons (mcp, extensions for vscode, now CC plugins) at big orgs.

I’ve been using it for personal projects but surely large companies have _some_ way they’re trying to prevent security issues? For instance, I remember one company I worked at blocked us from installing VSCode extensions.

I feel like the lack of response to your question speaks volumes.

Offering a perspective from Berlin - a decent-to-good senior engineer goes for $120k-$130k so I'm guessing for Warsaw, you could get someone similar for $90k-100k

$130k is something I very rarely see on job postings anywhere in Europe besides maybe London.

Really illuminating. Reading the comments, I can't help but think how bad most of us are at predicting the future. While the OP's world might still be somewhat far away, it doesn't seem nearly as far-fetched now as it would have seemed in 2013.

humanity being out-of-work is the premise of Marx's writings and we are not closer to it now than those 170 years ago.

I disagree.

Sonnet 3.6 (the 2022-10-22 release of Sonnet 3.5) is head and shoulders above GPT-4 and anyone who has been using both regularly can attest to this fact.

Reasoning models do reason quite well but you need the right problems to ask them. Don't throw open-ended problems at them. They perform well on problems with one (or many) correct solution(s). Code is a great example - o1 has fixed tricky code bugs for me where Sonnet and other GPT-4 class models have failed.

LLMs are leaky abstractions still - as the user, you need to know when and how to use them. This, I think, will get fixed in the 1-2 years. For now, there's no substitute for hands on time using these weird tools. But the effort is well worth it.

> one (or many) correct solution(s).

> Code is a great example

I’d argue that most coding problems have one truly correct solution and many many many half correct solutions.

I personally have not found AI coding assistance very helpful, but from blog posts by people who do much of the code I see from Claude is very barebones html templates and small scripts which call out to existing npm packages. Not really reasoning or problem solving per se.

I’m honestly curious to hear what tricky code bugs sonnet has helped you solve.

It’s led me down several incorrect paths, one of which actually burned me at work.

I've heard Rust is especially hard for LLMs, what with the need to thinking deeply about variable ownership and lifetimes. I wonder if it will work better if you try o1-mini (as long as you're still providing the right context!)

And I would've thought that AI would be good at creating new routes (wrap this function in a POST route) - certainly I've done this with Python and TS and it's been fine. Maybe it's a Rust specific issue? Likewise, SQL migrations I would've expected to also just work, especially if your schema change is small! Interesting that it doesn't!

Which tool do you use? Cursor or something else?

Also to add some more context:

- I've found LLM codegen working very well with standard React + TS code

- It sucks when using less knows languages or less popular frameworks (I tried reverse engineering github copilot lua code from the neovim extension in one instance and it really didn't work well)

I'd be curious to hear people's experience here.