headmetwall

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

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.

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.

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.

I've been using the app for the past day+ and I only get an ad every 25 posts and none everywhere else, even comments. I prefer foss, been using linux since 2018, but I don't see why every dev should have to contribute if they don't want to. At the end of the day, it means more active users on lemmy. What every person puts on their phone is up to them. (I also might switch to infinity now that it's out too.)