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.
”And look stoic while a sword sticks out of your shoulder."
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.
Huh, I was wondering why that was becoming the default everywhare. Time to Re-encode my library so I can carry more of it on my pocket computer. Tech is awesome.
Yea, but Gabe is not going to be around forever, and any successor leadership might have a different philosophy. And it's never a bad idea to have a backup.
Day 1 of suddenly having the urge to keep an offline and DRM free copy of all my steam games.
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).
At least it makes me feel good that I only just got a set for the first time last week and figured all those out within 5 min of actually using them.
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.
X2 on kde connect, I regularly use it to control my desktop with my laptop