Im gonna chip in and say that yes while they allow randos to post to the same extent i imagine the average person views a blog post/article as more legitimate when it has the branding of substack or medium attached to it rather than someones unbranded personal website

Funny… I’ve often felt the exact opposite.

Medium articles often look janky; if you’ve got a personal website you’ve at least figured out how to get that working, and if it looks good, that’s a positive signal!

Think myname@gmail.com vs me@myname.com

There is a pretty interesting wikipedia page dedicated to these type of fungi if someone wants a read https://en.wikipedia.org/wiki/Radiotrophic_fungus

Interesting that it uses melanin to survive, I wonder if studying it in the context of vitiligo would reveal anything given vitiligo is not well understood generally.

Posting this again now that my account is deemed as a non-bot (shoutout and thank you to the folks at the contact email!)

The story: I wanted to start the habit of building and publishing small projects of my own so for starters i made this simple css library inspired by the oh so nostalgic xbox360

You can also see the demo here https://tarmo1.github.io/360css/

On this topic, is there any benefit of trying to fool facial recognition systems with these type of accessories and or wearables, would the system not just mark you as suspicious and keep an even better track of you

Of course it is a different thing if these are adopted by the masses

Usually those systems are set up to track faces and/or people, and ignore everything else. If you get a low-confidence detection of a face that's much more likely to be a dog or a band t-shirt than somebody tricking your system. So you would typically ignore everything below a threshold, not flag it.

You could train a system to detect these kinds of attacks, but that's a lot more sophistication that these types of systems usually have, and would probably be specific to each "attack" (e.g. those glasses with lights would look completely different than the face paint approach)

The best defense would be a human watching the raw camera feed, since most of these attacks are very obvious to the human eye. But that's expensive. Maybe you could leverage vision-llms, but those are much more expensive than dedicated face-detection or object classification models. Those typically range from sub-million to maybe a hundred million parameters, while you need billions of parameters for a good vision-llm

If i had to ask Santa for something this would definetely be it, these are pretty much nonexistent (according to my quick google and ebay search)

Would love for lenovo or any other brand to bring the e-ink lid back, such a cool device all in all

Maybe they're all trained on their human peers who are paid by the hour

Joking but it's a good question, precision over speed i guess