Both are bad, Apple needs to stop the parts locking (like not being able to use all the features on a replaced screen without their approval), and Android companies have to be better about giving support for their phones.
Keep both accountable, let's leave the console wars bs in 2008.
I keep a mini (~100) epub/pdf library on my phone for those occasions.
Weird, I remember when I was in elementary school in MN they used 'duck duck goose', this is the first i've heard of the other variation.
If it's just one large file I just play it on a podcast app (in my case Podcast Addict) and if it's multiple I stich them together with ffmpeg before sending it to my phone.
Every day, I have an app that connects the audio of my pc to my phone through wifi and using bluetooth would just make the whole setup unusable for calls + wifi has better range and audio quality than bluetooth. The whole setup is PC->Ethernet->Router->wifi->Phone for ~30 ms of latency and the app is soundwire.
Here is a thread from 7 months ago where more people noticed the video was plagiarized due to a DMCA of a re-upload: https://www.reddit.com/r/youtubedrama/comments/1391d4o/internet_historians_man_in_cave_video_was/
But to actually answer your question, it takes time to prove (or even notice) when a work has been plagiarized, particularly when the person who did wrong does not mention, or intentionally hides the original source. The Hbomberguy video is about exploring that in depth and the IH video is just one example, not the main topic.
fo shizzle my nizzle
I started with linux mint, and if I had to start again I would still go with mint as my first distro. It was just familiar enough while allowing me to figure out what was different on linux. I only switched to arch due to the quality of the wiki and the AUR (after a short trial run of manjaro).
They are, but training models is hard and inference (actually using them) is (relatively) cheap. If you make a a GPT-3 size model you don't always need the full H100 with 80+ gb to run it when things like quantization show that you can get 99% of its performance at >1/4 the size.
Thus NVIDIA selling this at 3k as an 'AI' card, even though it wont be as fast. If they need top speed for inference though, yea, H100 is still the way they would go.
If it crashes hard I look forward to all the cheap server hardware that will be in the secondhand market in a few years. One I'm particularly excited about is the 4000 sff, single slot, 75w, 20GB, and ~3070 performance.
Some countries just don't care (even if they have laws on piracy), no vpn needed.
X2 on kde connect, I regularly use it to control my desktop with my laptop