Comment Re:If they are thermally efficient enough (Score 1) 128
I am talking about optical processors.
The processor China uses to crank out a new LLM in a day.
Google it, it is not complicated.
I am talking about optical processors.
The processor China uses to crank out a new LLM in a day.
Google it, it is not complicated.
No idea why you think Europe, or its politicians, are afraid about or are against the internet.
That does not make any sense.
It is exactly the same.
Just one technology lost and the other one won.
Similar to VHS versus
I do not know much about the protocols of Gopher, but instead of HTML they used TeX/LaTeX.
Not sure about what you want to argue.
The processors will soon all be optical.
Anyway, *using* an LLM does not cost much.
So, I do not what your point is. I would assume that people/companies that spent the money to try that, know what they are doing.
Tim Berners-Lee invented hypertext while working at CERN.
Which has nothing to do with internet, but is a protocol and mark up language that runs
on top of the internet.
He invented the world wide web. And that is actually only a reinvention: as we had gopher already, and wide area information services (WAIS/WISE?)
The internet is DARPA and the follow ups: TCP/IP and the surrounding infra structure protocols like DNS.
But humans won't thrive when this ice age ends.
Most of them will perish.
Nope.
The artic stays the artic.
Much to short growth time to grow anything meaningful.
And: the soil there is not fertile at all. It is frozen swamps and moors.
Either it was stupid or it was satire, and sadly I can't really guess which is more likely.
Kinda like a
To click where the troops should go, for everything else you use the keyboard.
Radiation hardening is only a extra thick extra layer of silicon on top of the chip.
Also keep in mind: the idea is to answer AI questions, not to train ANNs.
From my math, once you account for inflation, Silicon Valley (and broader tech industry) compensation has declined about 23-30% since 2000, relative to the national average. I know multiple companies where it's basically been flat since 2012, particularly for support roles - $90-100k then is only making $105-110k now in the same roles (with some of the same people, granted, but also new blood).
Considering how many foreigners from specific countries I see in places like Omaha, NE, I'm pretty sure it's not just a problem in Silicon Valley.
That may be true, but it's irrelevant.
They'll 500 500+ Americans from Division A while hiring 500 Indians to Division B.
And then the next quarter, it's fire 500 from Division B (all Americans, mostly white men), and then hire 500 Indians into Division A - because they had a shortage, don't you know.
Small sample, but still, food for thought.
No, not at all. The gender pay gap is in the training data thousands of times, from online comments, studies, news articles, etc. Since AI is a dumb machine replicating what it has in its training data, it replicates that.
I'm pretty sure you can find religious believe, superstitions of all kinds, human fallacies and whatever in AI if you provide it with the right setup.
How was it not fraud?
H1B is/was intended for worker shortages: for roles you couldn't fill domestically. It was not supposed to decrease the wage of the role, but (in theory) keep it at parity. It was always a ruse, but that was the premise.
If you're firing people and then hiring others at a fraction of the pay, you're literally abusing it. You've applied under false premise. That's fraud.
This 'study' was clearly constructed to create narrative, not to do actual science.
"The C Programming Language -- A language which combines the flexibility of assembly language with the power of assembly language."