Ah I scrolled past it the first time because I expected it to be at the bottom in the about section.
The article is about how everyone uses status pages nowadays…
It does not show that for me. 
I’m just gonna hope you’re joking and not that your username is an accurate description.
Knowing when someone is at your doorbell without ringing the doorbell is pretty useful. Same for knowing if your dog got out, or a number of other things. I don’t like sharing my neighbors data with Amazon or the Feds, so running it all locally is perfect. I get to control how long any data is kept for, what it scans for, and none of it leaves my property.
That still isn’t as good as just saying the hours…
The Internet archive doesn’t have an entire data center just for archiving is what I’m saying. Not that they don’t use data centers.
What on earth am I doing what for?
Where is the data from?
Which still doesn’t require as much energy as LLMs do. I run exactly that on my own server at home. And my unifi system does it on video all locally with no GPU at all. Video processing for identification is incredibly cheap and easy from a computer processing standpoint these days. You literally can do it on a raspberry pi.
Well Amsterdam isn’t on the list at all, so the real clue to what is going on here is that it’s a perception thing. If those people in Amsterdam went to Orlando they’d probably all say oh our biking is better than this, and the same for Orlando, if they visited an actually good city for biking they’d realize their biking is bad.
They’re definitely not. Hard drives use a fraction of the energy a single LLM prompt does. A study calculated that every 100 words uses an entire water bottle’s worth of water. That’s a lot of cooling for 100 words. It’s very likely that these companies use several gpus for every single prompt, meaning huge servers for just a few users.
Meanwhile the internet archive has archived a significant portion of the internet with nary a data center in sight.
You can compress video. You can’t compress the energy needed to generate output.
Anyone talking about AI in any context in a normal forum nowadays is discussing LLMs. Nobody cared about machine learning or neural nets that were actually being used for their designed purpose.