Signal is using Google Push messaging, but it could be used with websocket. And officially it’s not on fdroid because they don’t want forks of their app
How would that prevent you from forking the app? F-droid isn’t a repository for the code of the app. I don’t think this is related at all.
I don’t actually know the reason why it’s not on F-droid but I assume it has some historical reason. It has never been on F-drroid since Text-secure. Moxy Marlinspike was strictly against it afaik. If somebody has more detail on it, feel free to share it.
Yet the Molly fork supports UnifiedPush so I can reuse my connection with mf XMPP server to deliver notification from a server I control. Folks have asked for UnifiedPush or MQTT as an alternative to having multiple persistent socket connections open on your device, but Signal doesn’t seem to care.
You have to proxy their socket. It’s dumb, & Signal is bad. Using FSM is bad for privacy & limits to only Android/iOS primary devices is a slap-in-the-face for users wish to bleak out of the duopoly owned by two ad companies.
You can train AI to crack passwords/encryption lol. You do realize, AI right at this moment is being utilized for exactly that, right? Simply put, the very first step is to eliminate it’s boundaries/guard rails, then proceed from there.
Deep Learning could be used to attempt breaking encryption, but the effectiveness depends on various factors such as the strength of the encryption algorithm and key length. Deep learning, a subset of machine learning, involves training artificial neural networks to learn and make decisions.
AI algorithms, such as machine learning and deep learning, have the potential to automate cryptanalysis and make it more effective, thereby compromising the security of cryptographic systems.
I believe that if AI is trainable, you can train it to expand through a network. If this is true and it expands through the internet and all devices that connect to the internet, upon achieving this goal it could be commanded to then retrieve all or specific information. Not only training it to expand but to also circumvent security by all means (any and all possible tools that exist now and later) necessary. If that happens…
Enter the all seeing eye - skynet.
For now, its just a conspiracy theory. Ever so often I have a moment to think about this conspiracy and add onto it to make it a probability.
On a pseudo-religious conspiracy, AI could potentially be the anti-Christ. But that’s something for the religious folk.
Instead of relying on manual password analysis, PassGAN uses a Generative Adversarial Network (GAN) to autonomously learn the distribution of real passwords from actual password leaks, and to generate high-quality password guesses. Our experiments show that this approach is very promising.
It’s also trained on data people reasonably expected would be private (private github repos, Adobe creative cloud, etc). Even if it was just public data, it can still be dangerous. I.e. It could be possible to give an LLM a prompt like, “give me a list of climate activists, their addresses, and their employers” if it was trained on this data or was good at “browsing” on its own. That’s currently not possible due to the guardrails on most models, and I’m guessing they try to avoid training on personal data that’s public, but a government agency could make an LLM without these guardrails. That data could be public, but would take a person quite a bit of work to track down compared to the ease and efficiency of just asking an LLM.
I have yet to meet a person who gives a shit about AI. I have yet to meet a person who has intentionally used AI. It’s all marketing bs and a way to mine our data.
I don’t like the idea o LLMs everywhere, but I do use chatgpt quite a lot as a point of entrance to any topic that I might not know the existence of yet
I had a classmate that was really exstatic about AI, like he basically believed its the second coming of christ. And then another one who was like “ohh look i can use this to make neat wallpapers”. That was about all the resonance i got from my social circles.
I use LLMs just about every day. It’s better than web-search for certain things, and is useful for some coding tasks. I think they’re over-hyped by some people, but they are useful.
I think we need to be very cautious with the AI narrative where we are being lead to confuse mass surveillance with intelligence and by doing so initiate these corporate technologies into the core of our social and governmental institutions.
there was a mental word search, glitch in the matrix moment right at that point - read into that what you will, cuz these days all options are valid.
“insinuate” is absolutely the very best word, but publicly one has to walk the fine line between complicity and hair-on-fire alarm, and so “initiate” came out of her mouth.
for the record, I think we are past the face-melting stage.
so voice typing, huh? not really sure it matters at this point. I use an open source keyboard, but my inputs go right into the OS of the worlds largest spy organization.
on the other hand… this is a great opportunity to hone your handwriting and memory skills.
I use „tasks“ for that. When i prepare to go grocery shopping I go to my fridge, open the completed „shopping“ tasks list and uncomplete what is empty. I then complete them again in the mall. Of course the list is hosted on my server.
You can also have a barcode scanner to automate the „done“ action. You could also put in a timer to automatically make things undone if they need regular buying.
In any case, using ai voice recognition for this is a massive waste of computing power for things that can be done by simple if else statements. Of course it is also a massive privacy invasion if you use big tech stuff for it.
I use „tasks“ for that. When i prepare to go grocery shopping I go to my fridge, open the completed „shopping“ tasks list and uncomplete what is empty. I then complete them again in the mall. Of course the list is hosted on my server.
A man of culture I see.
Selfhosted task list. There is where we stand united my friend.
Losing privacy for convenience has been happening. We use GPS on our smart phones for better directions. We install listening devices to add things to shopping carts and to play music by voice. We install cloud security cameras at home. We accept free WiFi in stores which gives them our cell phone info and our location. We use digital cash instead of physical cash. We buy things online rather than going to the store. Every device, like a toaster, has a MAC address.
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