All kinds of companies lose millions of dollars of revenue per day if not hour if their sites are not stable.... apple, amazon, google, Shopify, uber, etc etc.
Those companies have decided the extra complexity is worth the reliability.
Even if you're operating a tech company that doesn't need to have that kind of uptime, your developers probably need those services to be productive, and you don't want them just sitting there either.
By public services I mean only important things like healthcare, law enforcement, fire department. Definitely not stores and food delivery. You can wait an hour or even a couple of hours for that.
> Those companies have decided the extra complexity is worth the reliability.
Companies always want more money and yes it makes sense economically. I'm not disagreeing with that. I'm just saying that nobody needs this.
I grew up in a world where this wasn't a thing and no, life wasn't worse at all.
Eh, if I'm paying someone to host my git webui, and they are as shitty about it as github has been recently, I'd rather pay someone else to host it or go back to hosting it myself. It is not absolutely required, but it's a differentiating feature I'm happy to pay for
I don't know why people automatically jump to Apple's defense on this.... They absolutely did spend a lot of money and hired people to try this. They 100% do NOT have the open and bottom-up culture needed to pull off large scale AI and software projects like this.
They did things far more complicated from an engineering perspective. I am far more impressed by what they accomplished along TSMC with Apple Silicon than by what AI labs do.
In any case, see the section on Jakob Uszkoreit, for example, or Noam Shazeer. And then…
> In the higher echelons of Google, however, the work was seen as just another interesting AI project. I asked several of the transformers folks whether their bosses ever summoned them for updates on the project. Not so much. But “we understood that this was potentially quite a big deal,” says Uszkoreit.
Worth noting the value of “bosses” who leave people alone to try nutty things in a place where research has patronage. Places like universities, Xerox, or Apple and Google deserve credit for providing the petri dish.
You can understand how transformers work from just reading the Attention is All You Need paper, which is 15 pages of pretty accessible DL. That's not the part that is impressive about LLMs.
>I hope that this is the start of developers being conscious of using resources efficiently again, especially in the browser.
AI may have forced the hand on this. Users will no longer be able to subsidize software performance with hardware upgrades due to the great DRAM debacle of 2026..
I think those are two separate concerns.
Writing code and running a tech business are two different things. I personally love Ocaml and think it's an excellent language and very underrated. However, I (probably) wouldn't want a production-ready system written in it, because it has a weaker ecosystem of libraries and frameworks, and it's harder to hire experienced people who already know or are willing to learn the language.
Indeed.
And the latter, that is, taking over and maintaining code written by someone else, is the more common concern in day-to-day jobs. More likely that you will get to build and improve an existing system than create one from scratch.
how does this work if i import two different gems that both monkeypatch the same classes?
Even if you can see the source, it still seems difficult to understand where the monkeypatch came from if you have transitive dependencies and whatnot.
Did you read the article? The point is that they're adopting memory management features inspired by rust to give programmers more fine-grained control.
