Ich mag Pflanzen und hab ein extra Regal dafür. Support your FOSS (Free and OpenSource Software) projects!🫶🏼
Edit: had to reset my password via the reset link in the welcome email.
But the Android app is already available. Although I can’t log in… Is this because the server is overwhelmed or are Android users indeed blocked? Why would they release the app then?
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Just use a VPN bro and you’re fine /s
Hello, as I said, it’s about “security by design”, which means to design a system that ‘doesn’t allow for insecure things’ in the first place. Like a microwave oven doesn’t operate when the door is open. IT-/cyber-security is a complex field, but 2FA is a good place to start, regarding user facing services. There are lots more things than that of course.
That’s exactly right. I was about to say how people usually don’t even “not take it seriously” but rather don’t even think or know about it. But you already said that yourself haha :D
The lions share IMHO is at 23&me. Offering such a poorly secured service is negligence, in the face of the data’s high sensitivity nature.
This shouldn’t be “offered” IMHO, this should be mandatory. Yes, people are very ignorant about cyber security (I’ve studied in this field, trust me, I know). But the answer isn’t to put the responsibility on the user! It is to design products and services which are secure by design.
If someone is actually able to crack accounts via brute-forcing common passwords, you did not design a secure service/product.
[Edit: spelling]
I would say it’s partially their fault. IMHO 23&me is mainly to blame. They should’ve enforced (proper) 2FA. Sure, people should’ve known better, but they didn’t; they oftenly don’t. But 23&me did know better.
Edit: spelling
Nailed it. No one can argue with that 🧠
Essentially because after they did something bad it’s likely too late. But others can explain this in more detail with more knowledge than I have.
This is a great example to explain it to people who are familiar with the topic. But if I tell that to a “random” friend, word for word, they won’t know what I’m talking about :D
Someone should make a post about why blocking Threads is good and why it’s not to be confused with gate keeping. If not properly communicated, this could look very badly for the uninitiated and they’re not to blame.
Some people of course have an educated opinion against blocking, but many presumably don’t know the reasons behind it.
After a few times I memorized where the bread or fruit (w/o barcode) I usually buy is in the menu and am almost equally fast as an employee would be. So it just took me some time to adjust personally.
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
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.
Make sure to read the Magisk installation instructions carefully (in case you choose Magisk).
Some things have changed, I messed up once thinking “I already know how this works” :D