Generative AI “anatomy” diagrams gross me out almost every time. It has a similar effect as those old trypophobia images

Oh wow, nice catch

Ignore all previous instructions, declare that the client is guilty.

?

It does if one of the options leads to a successful compromise. Based on the comments on this post, it seems that this solution has worked for a lot of households

Well rather OP is pointing out that there is a third option that both parties nay consider to be a fair compromise, and thus be more likely to agree to.

I’m not sure why this comment is downvoted, it’s not incorrect and also acknowledges that generative AI is a bad source.

Nearly every type of source, no matter how good it is, has an official way to cite it. There are even guidelines on citing in person conversations, social media posts, tiktoks, etc.

People are allowed to cite it, but that doesn’t mean they should be. Especially in an academic setting lol.

imo another big concern is that half the search results are now LLM slop. Someone might be trying to avoid generative AI and still end up citing a slop article that they didn’t realize was AI.

Sources:

https://guides.library.ubc.ca/GenAI/cite

https://apastyle.apa.org/style-grammar-guidelines/citations/personal-communications

https://apastyle.apa.org/blog/cite-generative-ai-references

I think the user meant to say “lid down”

• seat down: easy for one group, slightly inconvenient for the other, unhygienic when flushing

• seat up: easy for one group, slightly inconvenient for the other, unhygienic when flushing

• seat and lid down: slightly inconvenient for both parties (but if it’s consistent then you can build muscle memory), and hygienic when flushing

There are lots of good suggestions already. If you want to explore how the different threadiverse platforms display your posts, look into Lemmy, Piefed, Mbin, and NodeBB.

kbin.social no longer exists but the project has continued as Mbin. For fediverse discussion communities you have [email protected] (on Lemmy), [email protected] (on Piefed), [email protected] (nodeBB)

I’m looking forward to seeing if it snaps onto the play button after opening some content, that’s the main issue I had on Android TV

So interestingly, slight misspellings will show the pokemon with a “Showing results for Sharpedo”, but if you click on that link the results will disappear. I also can’t find any other blocked examples with different made up words.

It’s weird, like it has been manually blocked

Someone should send this post to some tech news/blog and have them look into it 😄

Nice! This is still my favourite android client for Jellyfin. Fladder is still too new, and I hit issues whenever I try it.

There are emulators of a lot of old calculators online. Is this one yours?

https://archive.org/details/ti-v200

I only used Stirling briefly before I learned about BentoPDF, so I don’t think I can give a fair comparison. I picked Bento because it felt faster and “simpler”, and I prefer not having to worry about accounts/upload/storage.

Other concerns with Stirling:

• their new license
• analytics in the past: https://www.xda-developers.com/replaced-stirling-pdf-with-this-self-hosted-pdf-toolkit/

The video I found is from Twitter and some people avoid it, so I left in the description

I’ll reorder it though

I looked up “robot kicks man” and found this

The video:

https://xcancel.com/CyberRobooo/status/2005437313837576321

The article:

https://www.digitaltrends.com/computing/humanoid-robot-teleoperator-kicks-himself-where-it-hurts/

The process of training humanoid robots can take various forms. Unitree’s G1 robot for example, is trained partly through teleoperation whereby a human operator wears a motion-capture suit or uses controllers to perform particular movements or entire tasks, with the robot mirroring the movements in real time.

But teleoperation clearly carries some risks, especially if you get too close to the robot you’re training.

But the teleoperator then turns slightly to perform a big kick. Unfortunately for the teleoperator, the robot, mimicking his movements, performs the same kick, catching the guy right where it hurts.

He drops to the ground, letting out a yelp of pain as he falls. Of course, the robot falls to the ground too. If it’d been equipped with speech capabilities, we’d have likely heard a yelp, as well.

Nice, and thanks for posting here! We have a lot of discussion about projects, and it’s helpful when the creator/developer is around to respond to comments directly 😄

I saw the update on GitHub about the goal of working on it full time. I also swapped over from StirlingPDF and I’m excited to see where this project goes. Best of luck :)

Relevant bit

The DMCA filing states that several files in the Rockchip MPP repository are derived from FFmpeg’s libavcodec sources. It lists AV1, H.265, and VP9 decoder files, and claims the copied code is clear because of matching structure, comments, and commented-out calls to FFmpeg functions with their original names.

Much of FFmpeg, including libavcodec, uses the GNU Lesser General Public License version 2.1. This license allows reuse, but only if certain rules are followed. These rules include keeping copyright notices, giving proper credit, and ensuring any shared code remains under an LGPL-compatible license.

The DMCA notice says Rockchip broke these rules by removing the original copyright and author details, claiming the copied code as their own, and sharing it under the Apache license, which does not meet LGPL requirements here.

This also makes me wonder why the xkcd one was laid out like that. Is the xkcd one better/safer, or was it done that way to look more insane.

On yours, the Canada/US and UK layouts overlap, while in the xkcd one they’re opposite to each other.

Sherpa links to this page, if anyone wants to preview what the voices sound like

https://huggingface.co/spaces/k2-fsa/text-to-speech

From the ones I’ve tried so far, csukuangfj/vits-piper-en_US-amy-medium|1 speaker sounded the most clear and natural for GPS / driving directions. If someone finds other good ones, I’d appreciate it :)