‘AI is reliant on mass surveillance’ and we should be cautious, warns head of messaging app | 7.30
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Our data is valuable. The information we share online is being used for all sorts of things - to spy on us, influence the advertising we see, train algorithm...

Why is Signal so reliant on Google? It’s not even in F-Droid

They are vehemently against self hosting as well.

There is a fork on F-Droid that isn’t reliant on Google push (it uses Unified Push) called Molly. I donate to both Molly and Signal.

It is better than nothing

foremanguy
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97d

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

@toastal@lemmy.ml
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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.

How did you get Unified Push working? Last time I checked it required dedicated server side software

@toastal@lemmy.ml
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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.

@doodledup@lemmy.world
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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.

You’re not allowed to upload apps with proprietary blobs. Google Push services is a proprietary blob.

foremanguy
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26d

Because today if you find a Signal app on Fdroid you’re sure that it’s nonofficial, on the play store only one app is allowed, the official.

I’m guessing its not fully open source, but I don’t actually know.

The App is open source, but they include google push services, which is not

@doodledup@lemmy.world
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27d

It is fully open-source. The distribution of the application is completely unrelated. You can still read the code and verify the build you’re running.

Thanks for the clarification.

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 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’m in university. Every student uses chatGPT. Constantly.

In our last exam, the prof basically just said “cat’s out of the bag, you can use chatGPT in the exam” (he gives open note exams).

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.

It isn’t.

I runs it local on my machine

hswolf
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57d

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

Possibly linux
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Run a free model local

from the video…

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.

Did they mean “and be doing so insinuate” I wonder? Initiate makes some sense too, just odd phrasing.

Anyway! I’m getting sidetracked lol! Haven’t even watched the video yet. Thanks for sharing the quote

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.

Yeah that’s relatable. It’s so easy to pick apart someone else’s words when you’re just passively observing, but when it’s you in the moment…

Ah shit, is this the time line where privacy isn’t needed cause people want better AI?

At least until Big Tech realizes that hallucinations in generative AI aren’t fixable and the whole stock market crashes.

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.

I thought she made some very good points, but the quote in the title makes no sense to me.

@doodledup@lemmy.world
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I simply took the title of the video. :shrug:

Yes, she said that. But what she said there just doesn’t make any sense.

While watching how much better AI has gotten at analyzing video, I got super creeped out, about surveillance used incorrectly.

https://youtu.be/_mkyL0Ww_08?si=IOhroXe-TaRVYl5Y

How else is AI supposed to grow? It’s supposed to observe everything in existence.

Then maybe it shouldn’t grow.

It’s why I’m not exactly a big fan of AI. The possibility that it can get out of control is worrisome.

This isn’t entirely true. AI is usually trained on public data such as Wikipedia.

AI is a tool. How you use it is what matters.

Wave
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87d

OpenAI and Dall-Es lawyers would like to use your as a witness at their 87 court hearings coming up

I self host so I don’t care

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.

What you are describing is highly specific to a particular AI model.

Kilgore Trout
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Wikipedia requires attribution, which AI scrapers never give.

It is “public” work, but under a license.

Still public data

Like cracking passwords / encryption and injecting itself into anything and everything that connects to the internet?

That’s not AI

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.

No you can’t, at least not in the way you think. You crack password by trying combinations. AI and machine learning are bad at raw attempts.

You can train AI to crack encryption

Oh do provide details.

PassGAN <3

Very interesting tip, preciate that.

@PassGAN

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.

encryption

It requires Deep Learning.

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.

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