Not entirely true. AstraZeneca and ABB are examples that remain partly Swedish but many companies were merged into big multinationals and eventually marginalised.

Many things are plainly not permitted, either because the borrow-checker isn't clever enough, or the pattern is unsafe (without garbage collection and so on).

Many functional/Haskell patterns simply can not be translated directly to Rust.

When the incentives of workers favour burning buildings rather than working for wages, the next step is either to use force/control or to rebalance wages.

Yes, I don't think this matters. Much of "knowledge work" was always a proxy for something else.

High quality in terms of typos and errors is mainly a signal of respect in a similar way to wearing ironed white shirts with neck-ties. "Walls of text" that no one is expected to read in depth. Basically a symbolic demonstration of sacrifice and subservience (or something). LLMs remove this mode of signalling.

If quality of content wasn't examined before, it was probably never particularly important.

Not really. The battery just needs to have a connector rather than soldered, and no other things blocking the battery once the back-case is opened. Realistically, a service shop will do the replacement like how watch-batteries are typically replaced.

When playing piano, the condition you are measured by is acoustic harmonies in the air, not finger movements. The only reasonable advice is either practice more or give up. If you are tone-deaf, it's not reasonable to expect you will learn to play the piano.

I routinely close tabs when I sense that low-quality code is wasting time and resources, including e-commerce sites. Amazon randomly cancelled my account so I will never shop from them. I try to only buy computers and electronics with confirmed good drivers. Etc.

This is false. We may assume it's the most efficient way of generating revenue given their GPUs, but their overall profitability will just be a guess. They would still have incentives to run hardware at maximum, even when it's uncertain to eventually recoup costs.

> a world where those API prices aren't profitable

A lab with employees and models in training has other costs than the operating expenses of a GPU farm.

It's neither how computer chess works or how LLMs are trained.

Computer chess uses various tricks to prune the search space of board states, where the search is guided by the "value" of each board state. Neural networks can be used (and probably was at the time) to approximate this value, but there can be hand coded algorithms with learned statistics or even lookup tables for smaller games than chess.

There's no search in LLM training.

Whereas Gooby "just works" once it compiles?

"Fun" for programmers means satisfaction and achievement in my experience.