I haven’t really compared the specs of between them recently, but I have the Pro, and the main decider for me at the time was that it was $50 more and has Ethernet. That being said, I added a USB Ethernet adapter to an Onn device and it works, though the first one I tried didn’t work. It was worth the $50 at the time not to deal with that for the Shield.
Anyone successfully installed LineageOS on Nvidia Shield or Onn devices? I ran the Konstakang AndroidTV build of Lineage on a Raspberry Pi 4 a couple years ago, and it was nice in how uncluttered and non-spywarey it was, but I ended up buying a Shield because hardware decoding never worked well and the frame rate drops were unbearable.
I don’t want any device for my TV that makes it hard to install free apps like Jellyfin without logging into an account. I tried fake accounts with Apple devices in the past and ended up with a couple devices that were basically bricked when the fake email account I used got disabled due to lack of activity.
Same. I think it’s also possible to flash them with LineageOS, but swapping out the launcher and using adb to remove anything superfluous is all I’ve done so far.
Self-driving in general has been overhyped by grifter tech bros like Elon and really shows the current limits of ML. Today, ML models are basically fuzzy, probabilistic functions that map inputs to outputs and are not capable of actual reasoning. There is a long tail of scenarios where a self-driving car will not generalize properly (i.e., will kill people). Throwing increasingly more data and compute at it won’t suddenly make it capable of reasoning like a human. Like other ML use cases, self-driving is a cool concept that can be put to good use under the right conditions, and can even operate mostly without human supervision. However, anyone claiming it’s safe to let today’s “self-driving” cars shuttle humans around at high speeds with no additional safeguards in place either has an unrealistic understanding of the tech or is a sociopath.
I don’t see a problem with thumbnails that accurately portray the contents of the video, since only a small number of characters can fit in the title and a screenshot of one frame from the video doesn’t say much, so it can be difficult to get a sense for the video at a glance otherwise. I do get really annoyed with thumbnails that are deceptive in any way. If the thumbnail seems like it might be deceptive, I’ll usually read the comments before watching the video, or quickly scroll through it to see if it’s BS or not. Sometimes, the thumbnail advertises something that happens at the end of a 20 minute video that could’ve been 30s, in which case, I’ll scroll usually through to the end instead of watching the whole thing. If it weren’t for the thumbnail, though, I might not have watched it all.
Although I think Steve Jobs was a real piece of shit, his product instincts were often on point, and his message in this video really stuck with me. I think companies shoehorning AI in everything would do well to start with something useful they want to enable and work backwards to the technology as he described here:
https://m.youtube.com/watch?v=48j493tfO-o
I love me some self-hosted ML models, such as Fooocus.
Convincing your employer to reduce AWS costs, or better yet, go with a different cloud provider would likely have more financial impact than boycotting the portion of the company that represents a smaller percentage of their operating profit.
Wait until the 15th to order everything you were going to order this week. That will show them!
I think paid open source like GPL Blender addons from BlenderMarket, Gumroad, etc. is a good option. You pay for it to support the devs while also owning what you bought.