pflanzenregal

I only know that I was pleasantly surprised how well GNOME ran on a surface device of a friend.

Why not?

Once a detector is good, you can train a model to adjust its outputs to cause false negatives from the detector. Then the cycle repeats. It’s a cat and mouse game basically.

The only proper way I see is a system that is based ob cryptographic signatures. This ia easier said than done ofc.

“Radio night, here I come”

instead of

“Ready or not, here I come”

Also this goes to show that F-droid needs a rating system IMO 🫠

Thank you for this awesome list! I had terrible experience with OSS Document Scanner and Image Toolbox though.

The scanner would just distort every image like crazy!! Would 100% of the time utterly fail to detect the paper edges even against high contrast backgrounds without any patterns and under very good lighting. I did like 20+ photos and immediately deleted the app, it didn’t produce a single usable result.

And image toolbox was just a pain to use. If you compare how you apply filters in e.g. Instagram to this app, the UX is purely frustrating :( Though the app looks nice and has lots of features :)

Sorry for all the negativity 😅 I’ll try to be more positive by sharing my favorite Spotify alternative, which is basically a YouTube music client with premium features. The service remains proprietary but the same applies to discord. InnerTune

deleted by creator

If they post it on a non-google platform, they only gonna reach people that already don’t use Google…

Haven’t seen InnerTune mentioned yet: https://f-droid.org/packages/com.zionhuang.music/

Good Spotify alternative for me.

Why downvote him? He made an observation and comments even explained why. I learned something, it added to the discussion.

What if he they say “No” :o

You don’t need a LLM for converting pseudo code to Latex. LLMs surely help at programming (in my experience), but I feel like your example is really giving them justice :p

Traumatizing ≠ making people take war seriously.

Believe it or not, journalism and educating people is much more than uploading graphically disturbing images to some website and leave it as is.

I said “reliably”, should have said “…and generally”. You can, as I said, always tailor a detector model to a certain target model (generator). But the reliability of this defense builds upon the assumption, that the target model is static and doesn’t change. This is has been a common error/mistake in AI research regarding defensive techniques against adversarial examples. And if you think about it, it’s a very strong assumption, that doesn’t make a lot of sense.

Again, learning the characteristics of one or several fixed models is trivial and gets us nowhere, because evasive techniques (e.g. finding ‘adverserial examples against the detector’ so to speak) can’t be prevented as of know, to the best of my knowledge.

Edit: link to paper discussing problems of common defenses/attack scenario modelling https://proceedings.neurips.cc/paper/2020/hash/11f38f8ecd71867b42433548d1078e38-Abstract.html

This isn’t possible as of now, at least not reliably. Yes, you can tailor a model to one specific generative model, but because we have no reliable outlier detection (to train the “AI made detector”), a generative model can always be trained with the detector model incorporated in the training process. The generative model (or a new model only designed to perturb output of the “original” generative model) would then learn to create outliers to the outlier detector, effectively fooling the detector. An outlier is everything that pretends to be “normal” but isn’t.

In short: as of now we have no way to effectively and reliably defend against adversarial examples. This implies, that we have no way to effectively and reliably detect AI generated content.

Please correct me if I’m wrong, I might be mixing up some things.

WHat’s WA? I only know it as “WhatsApp” haha

You don’t seem to understand the difference between mRNA vaccines and an immune escape mutation of a virus evading the immune systems response of the hosts.

Also part of why those beneficial mutations occurred is that a large (enough) portion of people weren’t vaccinated. The “potential” hosts, that required adaptation because they’ve seen how the virus looks like through vaccines, create an evolutionary pressure.

Even though this is about bacteria, not viruses and happens inside a petri dish, not in a natural environment, it quite illustratively shows how mutations work. Note, that even though the antibiotics are completely ineffective against the bacteria at the end, this does NOT mean, that it’s useless to begin with. It’s very effective, in fact so much that only small doses suffice to keep the bacteria away. But they mutate randomly yet with a selective (evolutionary) pressure. Maybe you’re too much of a “skeptic” to change your mind. But if you’re truly skeptic, try to be skeptic about your currently held believes too. The video: https://www.youtube.com/watch?v=plVk4NVIUh8

Are those actual conservatives or ones which would be called extreme right-wingers or fascists in non-american politics?

Absolutely. I didn’t mean to say he “only” changed my view, in case that’s the impression. He is a great man, the entire (digital) world is built on his legacy so to say, yet barely anyone knows about him.

PS: little anecdote as I once went to an Apple Store and scrolled through the software licenses in the settings on an iPad of iOS and found one crediting Richard Stallman as the author. I just left it like that, thought it’s funny having his name on an iPad in the Apple Store :p

Yeah just fucking sad. This guy changed the way I think about software, releasing code I write, contributing etc. Would be so sad to see him go.