Hey everyone, so for the past few month I have been working on this project and I’d love to have your feedback on it.
As we all know any time we publish something public online (on Reddit, Twitter or even this forum), our posts, comments or messages are scrapped and read by thousands of bots for various legitimate or illegitimate reasons.
With the rise of LLMs like ChatGPT we know that the “understanding” of textual content at scale is more efficient than ever.
So I created Redakt, an open source zero-click decryption tool to encrypt any text you publish online to make it only understandable to other users that have the browser extension installed.
Try it! Feel free to install the extension (Chrome/Brave/Firefox ): https://redakt.org/browser/
EDIT: For example, here’s a Medium article with encrypted content: https://redakt.org/demo/
Before you ask: What if the bots adapt and also use Redakt’s extension or encryption key?
Well first they don’t at the moment (they’re too busy gathering billions of data points “in clear”). If they do use the extension then any changes we’ll add to the extension (captcha, encryption method) will force them to readapt and prevent them to scale their data collection.
Let me know what you guys think!
I totally applaud your efforts to find a solution to this issue but I don’t think this is practicable, at least in it’s current form. I get the underlying idea that changes to the extension will have to be continually adapted to by the scrapers but that’ll slow them down for a negligible amount of time.
I don’t mean to sound negative and I really do thank you for your efforts but I can’t see how this could be effective.
Slow them down and prevent them to scale is actually not that bad. We are in the context of public content accessible to anyone, so by definition it can not be bulletproof.
Online Privacy becomes less binary (public vs private) when the internet contains content encrypted using various encryption methods, making it challenging to collect data efficiently and at scale.
Thank you so much for your comment though <3
So people without the extension would only see gibberish?
Exactly!
For example, here’s a Medium article with encrypted content: https://redakt.org/demo/
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Wow, I couldn’t read a thing without the extension! Works perfectly!
Haha
😂😂😂
concept is ‘workable’ in an open, but small, tight-knit community.
but in general, if google can’t read it–few eyeballs will ever see it.
but in general, if google can’t read it–few eyeballs will ever see it.
You bring up a good point. The Internet is full of spider bots that crawl the web to index it and improve search results (ex: Google). In my case, I don’t want that any comment I post here or on big platforms like Reddit, Twitter or LinkedIn to be indexed. But I still want to be part of the conversation. At least I would like to have the choice wether or not any text I publish online is indexed.
Not sure. Couldn’t the bots just decrypt it the same way?
Ahhh, didn’t read to the end. Hm. Still not convinced. I don’t want captchas etc to use the internet
Captcha was just an example :-)
What I’m trying to say is that any small changes that we add to the extension will have very few (or none) effect on the real users, but will force the srappers to adapt. That might require important human and machine ressources to collect data at a massive scale.
EDIT: And thank you for your feedback <3
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You are absolutely right! Using a single public encryption key can not be considered as secured. But it is still more than having your content in clear.
I intend to add more encryption options (sharable custom key, PGP), that way users can choose the level of encryption they want for their public content. Of course, the next versions will still be able to decrypt legacy encrypted content.
In a way, it makes online Privacy less binary:
Instead of having an Internet where we choose to have our content either “public” (in clear) or “private” (E2E encrypted), we have an Internet full of content encrypted with heterogeneous methods of encryption (single key, custom key, key pairs). It would be impossible to scale data collection at this rate!
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You have a point. Or even malicious links!
We have to be careful with the decrypted output. Redakt is an open source and collaborative project, just saying… 😜
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Image injection is something I will need to stress out.
Maybe if this was condesed to a userscript, or instead of encryption use base 64 encoding. Its really just about obfuscating/transforming text to automated systems, not securing it.
You’re right. “Securing” is bad word. “Obfuscating” might be more appropriate. Actually had the same feedback from Jonah of Privacy Guides.
I use AES encryption with a single public key at the moment. That way, if I want to give the option to the user to create encrypt with a custom key, I don’t have to change the encryption method.
EDIT: Editing the title of this thread ̶P̶r̶o̶t̶e̶c̶t̶
Can you create custom decryption keys? I like the idea of an easy to use encryption mechanism for non private platforms.
What do you mean by non private platforms?
In this POC, you can only encrypt content using Redakt’s public key. That way you are guaranteed to see the content since the key is already installed in the extension.
I intend to add the option to encrypt with a custom sharable key in the v.2.
Honestly even this platform, but any public platform without e2e and the direct choice of who to share it with.
r3d4kt-U2FsdGVkX1/lGJZ5fHhIJPQ8w7fdKIrvJKGa4C6hVzgxa99BNXMr7LQFL9Rur05EFVITe2pREZaianyq1F5k4dQEovbUKXWwjoj7R2ZXmu3z836vItVgTHh/Wen4p0pp&&&
I’m browsing via the Jerboa app, which I can’t read anything except some non sense strings.
You got the idea but the execution is subpar TBH. Browsers are not the only method to view contents nowadays.
You’re right, App traffic is something we’ll need to crack. But as a first step, anything traffic going through a web browser is already significant.
I see what you did there.
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But why? Why do you people hate AI so much?
I don’t think it’s a question to “hate” AI or not. Personally, I have nothing against it.
As always with Privacy, it’s a matter of choice: when I publish something online publicly, I would like to have the choice wether or not this content is going to be indexed or used to train models.
It’s a dual dilemma. I want to benefit from the hosting and visibility of big platforms (Reddit, LinkedIn, Twitter etc.) but I don’t want them doing literally anything with my content because lost somewhere in their T&C it’s mentioned “we own your content, we do whatever tf we want with it”.
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How come when I plagiarize other people’s creative content it’s illegal, but when AI does it it’s fine?
It’s illegal if you copy-paste someone’s work verbatim. It’s not illegal to, for example, summarize someone’s work and write a short version of it.
As long as overfitting doesn’t happen and the machine learning model actually learns general patterns, instead of memorizing training data, it should be perfectly capable of generating data that’s not copied verbatim from humans. Whom, exactly, a model is plagiarizing if it generates a summarized version of some work you give it, particularly if that work is novel and was created or published after the model was trained?
All these AI do is algorithmically copy-paste. They don’t have original thoughts and or original conclusions or original ideas, all if it is just copy-paste with extra steps.
Learning is, essentially, “algorithmically copy-paste”. The vast majority of things you know, you’ve learned from other people or other people’s works. What makes you more than a copy-pasting machine is the ability to extrapolate from that acquired knowledge to create new knowledge.
And currently existing models can often do the same! Sometimes they make pretty stupid mistakes, but they often do, in fact, manage to end up with brand new information derived from old stuff.
I’ve tortured various LLMs with short stories, questions and riddles, which I’ve written specifically for the task and which I’ve asked the models to explain or rewrite. Surprisingly, they often get things either mostly or absolutely right, despite the fact it’s novel data they’ve never seen before. So, there’s definitely some actual learning going on. Or, at least, something incredibly close to it, to the point it’s nigh impossible to differentiate it from actual learning.
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Not once did I claim that LLMs are sapient, sentient or even have any kind of personality. I didn’t even use the overused term “AI”.
LLMs, for example, are something like… a calculator. But for text.
A calculator for pure numbers is a pretty simple device all the logic of which can be designed by a human directly.
When we want to create a solver for systems that aren’t as easily defined, we have to resort to other methods. E.g. “machine learning”.
Basically, instead of designing all the logic entirely by hand, we create a system which can end up in a number of finite, yet still near infinite states, each of which defines behavior different from the other. By slowly tuning the model using existing data and checking its performance we (ideally) end up with a solver for something a human mind can’t even break up into the building blocks, due to the shear complexity of the given system (such as a natural language).
And like a calculator that can derive that 2 + 3 is 5, despite the fact that number 5 is never mentioned in the input, or that particular formula was not a part of the suit of tests that were used to verify that the calculator works correctly, a machine learning model can figure out that “apple slices + batter = apple pie”, assuming it has been tuned (aka trained) right.
Chat bots do not learn, stop anthropomorphizing them.
Not once did I claim that LLMs are sapient, sentient or even have any kind of personality. I didn’t even use the overused term “AI”.
LLMs, for example, are something like… a calculator. But for text.
A calculator for pure numbers is a pretty simple device all the logic of which can be designed by a human directly.
When we want to create a solver for systems that aren’t as easily defined, we have to resort to other methods. E.g. “machine learning”.
Basically, instead of designing all the logic entirely by hand, we create a system which can end up in a number of finite, yet still near infinite states, each of which defines behavior different from the other. By slowly tuning the model using existing data and checking its performance we (ideally) end up with a solver for something a human mind can’t even break up into the building blocks, due to the shear complexity of the given system (such as a natural language).
And like a calculator that can derive that 2 + 3 is 5, despite the fact that number 5 is never mentioned in the input, or that particular formula was not a part of the suit of tests that were used to verify that the calculator works correctly, a machine learning model can figure out that “apple slices + batter = apple pie”, assuming it has been tuned (aka trained) right.
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People make derivative works because they add their own ideas and spin. AI do not have ideas or spin, it’s copy-paste with extra steps.
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The tech requires huge amounts of processing power and loose laws to even exist. It could be banned quite easily.
It won’t be lol
Have you even been following what images AI can generate now? Every work is original, it doesn’t just copy and paste pixels.
What it does is use a large statistical model to determine which pixels it copies, but it’s still copy/paste with extra steps.
@queermunist @moreeni I have to disagree. The plagiarism claims are unfounded as the ais are making their own artwork off of what they have learned. Usually starting from noise and de-noising it into something that matches its’ memories of the key words. In the case of the generative art ais anyway.
While there can be valid arguments against copyrighted material being used for the ais, plagiarism is not one of them.
Far be it from me to defend the concept of intellectual property, but if a chat bot can be argued to not plagiarize then that implies it has an intelligence. It really doesn’t. It’s plagiarism with extra steps.
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Here is an alternative Piped link(s):
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source; check me out at GitHub.
This is a cool proof of concept and pretty easy to adapt for almost any purpose not just text. I don’t think it’s “useful” but then again “usefulness” isn’t exactly well defined in the first place.
Thank you 😊
I actually thought about this. Adapting the same approach with other kind of content like image, audio or video would be game breaker!!
Imagine uploading videos to Youtube that only viewers with a key would be able to understand!
But it is a challenge as it might require advanced knowledge in image and audio.
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I don’t think AI is bad as a whole. At least I would like to choose if the content I post online can be used (or not) to train models.
