I agree.

It got worse.

The inequality between people was never so high in history! Hard fact.

Now some people "earn" more money while they breeze in and out then large amounts of people earn in their whole life.

Also now the slaves have to pay everything themself (like food, shelter, clothes, in some countries even education). Progress!

> There's something seriously wrong in Redmond.

I'd say: There is something seriously wrong with the people buying this shit since over 40 years.

It's not like Microslop products weren't pure utter trash already decades ago. They got worse over time, especially lately with "AI", that's true, but nothing ever changed substantially.

The world has always be run by oligarchs, and nothing changed since ten thousands of years.

Most people today on this planet are still slaves.

A drop in the ocean…

Google is constantly rushing from growth record to growth record in the last years.

You just don't notice all the bullshit if you're not already an expert in the field you generate LLM output for.

(And even for things that were in the training data you don't have any guaranty they will be reproduced correctly, there is just some chance something meaningful comes out, or it doesn't, it's random.)

The whole idea to use a next token predictor as "answer machine" is completely flawed. This can't work like advertised, and that's by construction.

This things output token which are correlated with the context given. That's all!

If you feed it some context the parrot will answer with the same.

It does not "sense your expertise level"—it just outputs correlated tokens… Is this really so hard to understand?

I've liked it nevertheless for context, as augmentation to parent's post.

The whole things looks vibe-coded, and vibe-designed.

https://news.ycombinator.com/item?id=47957121

It doesn't have Hindley-Milner type inference, but it has very strong type inference.

We will get linearity soon thanks to and as part of the Capybara[1] effort.

Refinement types are already long a reality.

The whole new effect tracking thing is based on delimited continuations.

The Unison style content addressability comes up now and then, maybe it will become a reality at some point. It's though mostly not a language thing but more a build system thing.

Scala is already great for for LLMs also for other reasons:

https://arxiv.org/html/2510.11151v1

[1] https://2025.workshop.scala-lang.org/details/scala-2025/6/Sy...

https://arxiv.org/html/2510.11151v1

https://gram.liten.app/

Imagine we would download random code from the internet and just execute it, like with NPM, PIP, Maven, Cargo etc.

This stance doesn't seem sustainable any more to me.

https://www.chronox.de/libkcapi/html/ch01s02.html

It states the following:

> There are several reasons for AF_ALG:

> * The first and most important item is the access to hardware accelerators and hardware devices whose technical interface can only be accessed from the kernel mode / supervisor state of the processor. Such support cannot be used from user space except through AF_ALG.

> * When using user space libraries, all key material and other cryptographic sensitive parameters remains in the calling application's memory even when the application supplied the information to the library. When using AF_ALG, the key material and other sensitive parameters are handed to the kernel. The calling application now can reliably erase that information from its memory and just use the cipher handle to perform the cryptographic operations. If the application is cracked an attacker cannot obtain the key material.

> * On memory constrained systems like embedded systems, the additional memory footprint of a user space cryptographic library may be too much. As the kernel requires the kernel crypto API to be present, reusing existing code should reduce the memory footprint.

I can't judge whether this is a good justification, but there is one.

Is this the mathematician's variant of "my language is better than your language", or what does this post actually discus? Something fundamental in the philosophy underpinning things or just the way to express them?