turkalino

I can name one improvement: global scaling works SO much better in Wayland

But obviously if you don't have a high DPI monitor, this won't matter to you

Considering how much Google has entrenched itself into the Internet (see manifest v3 fiasco), I would argue that creating a new browser is a fork of the web

Wow you just shined a ton of light on a problem my company had. We wanted to implement a medical imaging system from one of their subsidiaries, and it took an average of 3 months for the salesperson to respond to EACH of our emails

I know Gnome is in your less important list, but Wayland is in your important list, so I’ll recommend KDE Neon. It’s Ubuntu without snaps and moronic auto updates, so it really just feels like a more desktop-ready Debian

Idk if this has been proven, but I'm certain that the current desktop versions of Office apps are just Electron-style wrappers for the web versions. I switched from Windows to Linux about a year ago and have found the web apps to be perfectly sufficient

The government has already stepped in several times. If you’re in the mood to get mad, read up on the results of these interventions. Basically, Boeing was almost forced to deal with actual oversight, but was able to convince the government at the last minute that they could handle the oversight themselves internally (thanks to the wonderful process of lobbying of course)

Ok but before you go, just want to make sure you know that this statement of yours is incorrect:

In the strictest technical terms AI, ML and Deep Learning are district, and they have specific applications

Actually, they are not the distinct, mutually exclusive fields you claim they are. ML is a subset of AI, and Deep Learning is a subset of ML. AI is a very broad term for programs that emulate human perception and learning. As you can see in the last intro paragraph of the AI wikipedia page (whoa, another source! aren't these cool?), some examples of AI tools are listed:

including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics

Some of these - mathematical optimization, formal logic, statistics, and artificial neural networks - comprise the field known as machine learning. If you'll remember from my earlier citation about artificial neural networks, "deep learning" is when artificial neural networks have more than one hidden layer. Thus, DL is a subset of ML is a subset of AI (wow, sources are even cooler when there's multiple of them that you can logically chain together! knowledge is fun).

Anyways, good day :)

When you want to cite sources like me instead of making personal attacks, I’ll be here 🙂

https://en.m.wikipedia.org/wiki/Large_language_model

LLMs are artificial neural networks

https://en.m.wikipedia.org/wiki/Neural_network_(machine_learning)

A network is typically called a deep neural network if it has at least 2 hidden layers