How can a word come from the Bible? It must have existed before the Bible in order to have a meaning inside of it. Or did you mean to write it came from Aramaic?
I mean that it already appears in the Bible, in old Hebrew (which is close to, but isn’t exactly Aramaic), with the meaning “to feed and provide” - and I did not find any documentation about how it formed (or came into) Hebrew.
Which means of course m, that it was already in use before the Bible was canonicalized.
I'm surprised at the small number of Windows users. At my workplace every computer has Windows installed and we didn't really have a choice about it, although I never asked. Also, as a fullstack web developer, I don't really see why I would prefer one over the other, since they all support VSCode and I can write code on any one of them. But then again, I exist inside of an echochamber of Windows users so I'm pretty clueless on how development is different on other OSs.
I was surprised in the opposite direction - I thought Windows would be <5% for dev. Big, cheap contracting agencies skew the Windows number up globally, and even just in the US, but this is just HN users so I expected a much smaller representation.
I was never involved in doing ML myself, even through my CS studies. However, from the outside it looks... not that complicated? How do they justify these salaries? Where do they see it coming back to them in terms of revenue?
Most of the people pursued in these "AI talent wars" are folks deeply involved in training or developing infrastructure for training LLMs at whatever level is currently state-of-the-art. Due to the resources required for projects that can provide this sort of experience, the pool of folks with this experience is limited to those with significant clout in orgs with money to burn on LLM projects. These people are expensive to hire, and can kind of run through a loop of jumping from company to company in an upward compensation spiral.
Ie, the skills aren't particularly complicated in principle, but the conditions needed to acquire them aren't widely available, so the pool of people with the skills is limited.
it's a bit like rocket engines, training a big fat LLM is super duper expensive like a rocket and all else being equal, you'd like to get it right the first try. someone who has built a lot of rocket engines knows all the gotchas and where to look out for traps and gremlins, same for someone who has built a lot of giga sized LLMs
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