Yes, regulate the web browsers where you can just download librewolf or brave, but don’t do anything about the criminal ISPs and wireless network service providers.

A Russian official has said that the game could face a total ban in Russia

The whole article is based off this unnamed “Russian official” btw.

If you don’t want the NSA to spy on you, don’t use anything with a modem. Otherwise forget about it.

But I want to know what is AMD working on, specially if it has to do with the RT / HDR / color management areas.

HDR/Color Management is not really AMD’s job. That’s between the Wayland and Mesa guys (I guess you could say AMD belongs in the “Mesa guys” umbrella).

Also, I’m pretty sure AMD already supports ray tracing through Mesa, and is enabled by default since version 23.2 on the radv driver:

radv: Enable ray tracing pipelines by default

Yes, looks like the actual advantage (or disadvantage , depending on who you are) is ensuring that you don’t send a false location to a third party.

You then execute that SNARK on your local device with your current exact GPS coordinates

No, that’s what I’m suggesting. The proposed method in the paper makes no use of GPS, instead it’s some peer-to-peer network.

How is this better than just mapping GPS data to a hexagon and sending that to the third-party?

https://github.com/schollz/croc

What part of the OS should managed the packages?

The OS package manager. This is already a thing with Python in apt and pacman, where it will give you a fat warning if you try to install a package through pip instead of the actual OS package manager (i.e. pacman -Syu python-numpy instead of pip install numpy)

Leave it to the modern journalist to spin a loss as a win. Comedic at best.

Rocket League has always been marketed as a competitive game. Obviously, if you haven’t played in a long time, the now low level players in casual look like tryhards, but that happens in every competitive activity as time goes on. The requirement to be a “bad player” goes up as the “good players” get better.

https://wiki.hyprland.org/Configuring/Binds/#global-keybinds

Yes, but confidence values are not magic. These values are calculated based on how familiar the current input is to a previous observed input. If the type of input is unfamiliar to the model, what do you think happens? Usually, there will be a category with a high enough confidence score so that it will be chosen as the correct one, while being wrong. Now, assuming you somehow manage to not get a favorable confidence score for any decision. What do you think happens in that case? I never encountered this, but there can only be 3 possible paths: 1) Choose a random value. Not good. 2) Do nothing. Not good. 3) Rerun the model with slightly newer data? Maybe helps, but in the case of driving a car, slightly newer data might be too late.

Right, which is why that marvelous confidence value got somebody ran over.

This is why you can’t have an AI make decisions on activities that could kill someone. AI models can’t say “I don’t know”, every input is forced to be classified as something they’ve seen before, effectively hallucinating when the input is unknown.

Imagine buying a politician’s cryptocurrency

From the repo:

A random DNS and HTTPS internet traffic noise generator provides enhanced privacy and security by obfuscating users’ online activities. It generates random, non-user-initiated queries to DNS servers and encrypted HTTPS connections, making it difficult for third parties such as ISPs, surveillance systems, or malicious actors to analyze and track actual browsing patterns. This added layer of traffic noise reduces the effectiveness of traffic analysis and profiling techniques, making it harder to identify specific behaviors, websites, or services accessed by the user.

Technically, even if your data is encrypted, the amount of data you send (and the time between packets) can be analyzed to at the very least figure out what website you’re on, and who knows what else (i.e. Youtube’s HTML, CSS, and JS files will be different than Facebook’s, so the amount of data sent will be different, and you can train an AI to recognize these patterns). This app pretty much it protects you against packet analysis from your ISP or anyone else who could monitor your network. I guess this assumes that you’re using a VPN or some sort of proxy since it’s not very useful otherwise.

How does it know when it’s right if you’re the one teaching it?

Lol. It’ll work eventually.

Doubt it’s a sway problem. You got it to work with waybar in plasma, or just in a terminal? Anyways, my setup is also sway+waybar so I’ll try to use cava later today.