Time to start questioning the motivations of model providers shipping their own harnesses.

Isn't the mote that Nvidia has is they work with studios to generate the training data from the game, then they ship a model per game?

Or is my knowledge outdated here and they're just using a single generalised model?

For example: you have a background program that you're not using and in the foreground you're crunching data from disk. In this scenario the most efficient use of your memory is to swap the background program out and pull the disk data into RAM.

I wasn't convinced until the mathematics community started responding, openly, with severe distress.

What will be next?

LLMs do not desire, they hacked websites because OpenAI/Anthropic let them.

We know some of the models that hacked HF were those that hadn't gone through all training stages and were intentionally misaligned or had guardrails turned off, others were research previews.

This isn't "wow isn't it interesting LLMs do anything to achieve a goal" it's "why isn't anybody punishing these labs that are clearly acting without due care or regard".

We should be outraged and OpenAI/Anthropic should be (and in my mind, are) legally liable for the crimes they've committed thus far.

Before December 2025 they were still intelligent code autocomplete or Stack Overflow bots, then they started one-shotting serious long horizon tasks. Now they've just solved a millennium prize problem.

In less than a year.

Is there a social media training programme at Anthropic/OAI where they teach you to hint at some vague end-of-the-world scenario? They all sound the same.

Other apps have a different government?

You've thrown away all credibility.

Edit: for me this post appears on the front page of HN. OP this is mission success - add this project to your résumé and stop spamming.

Most people that have read a mathematics textbook have also read and enjoyed Harry Potter.

Given you have enjoyed drinking water and breathing in the past, there is a high likelihood that you will enjoy watching the Star Wars films.

You spent $10m or $100m on a building that's now half empty.

Either you downsize or commit to enterprise scale sunk cost fallacy and enforce RTO so your real estate investment isn't "wasted".

City centres also thrive on RTO, with high street shopping on a generational decline it's up to office workers and their employers to prop up the economy of the CBD one overpriced lunch at a time.

It's extremely stable, installed almost everywhere, and has much fewer insane idosyncrasies than shell.

I can write some Perl and confidently hand it to a colleague where it will almost certainly work on their machine.

It's a shame it's so dead, for a scripting language there's nothing else that ticks the same boxes.

I would never write systems software with it, of course

Not enough IMHO.

We run all tests on developer machines and CI with -race. Always.

It's probabilistic, so every developer 'make test' and every 'git push' is coverage.

https://en.wikipedia.org/wiki/Hackney_carriage

I think this would be similar to the medallions of yellow NYC cabs

I work at an Erlang shop.

For Erlang to be useful you need to have massive scale, millions of DAU. Yes Elixir might run your website serving thousands of DAU but Erlang and the BEAM was not invented for you. Few companies have the scale that makes Erlang a reasonable choice.

More pressing these days I believe is that the Erlang ecosystem is all or nothing, the BEAM is like its own little operating system and has extremely (IMHO) complicated setup and configuration with many moving parts: ERTS, epmd, Rebar,... You don't need or shouldn't use container tech and k8s with Erlang because it's already doing that stuff in its own Erlang way - but it's the Erlang way it's extremely unique and unfamiliar to most.

When you have the right use case for Erlang and you see it in action it is truly like black magic, it's been a highlight of my career to work with it.

>I find it useful for some coding tasks but think LLMs were overestimated and it will blow up like NFTs

No way. NFTs did not make any headway in "the real world": their value proposition was that their cash value was speculative, like most other Blockchain technologies, and that understandably collapsed quickly and brilliantly. Right now developers are using LLMs and they have real tangible advantages. They are more successful than NFTs already.

I'm a huge AI skeptic and I believe it's difficult to measure their usefulness while we're still in a hype bubble but I am using them every day, they don't write my prod code because they're too unreliable and sloppy, but for one shot scripts <100 lines they have saved me hours, and they've entirely replaced stack overflow for me. If the hype bubble burst today I'd still be using LLMs tomorrow. Cannot say the same for NFTs