Are you trying to say that making a series of http requests to view a website is even remotely equivalent in energy usage compared to running inference with an llm model???
I mean, the swamp is a real problem in a sense. The mechanism for draining the swamp is voting reform, campaign finance reform (and overturning citizens united), and tighter lobbying regulations. More succinctly, getting money out of politics.
We literally have a masked police squad with more funding than most armies roaming the streets disappearing people including US citizens. Get your head out of the sand.
And what software they need/want to use. I would prefer people use alternatives to software that only runs in windows (or is difficult to get working in wine), but you can't really fault someone for that one sticky program that want to use. (Or have official support for in a business environment)
The missing piece here is that people have issues to troubleshoot with windows all the time. The narrative that windows has no problems and Linux does is dishonest from the start.
Edit: the real "not for normies" aspect is installing an operating system from scratch in the first place rather than getting one that is already in a stable configuration out of the box.
There are people who both get llm summaries of their emails and get llm to rewrite what they send. It's amazing that anyone can't see how incredibly stupid it is
Not really. None of what has been going on with transformer models has been anything but hyper scaling. It's not really making fundamental advances in technology it's that they decided what they had at the scale they had makes convincing enough demos that the scam could start.
I've always been under the impression that the little grey supporting text being little and grey is because the designer didn't want it read but was required to put it somewhere. A dark pattern, if you will. Is it actually not intended that way?
Are you trying to say that making a series of http requests to view a website is even remotely equivalent in energy usage compared to running inference with an llm model???