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I have some concerns about Post that are only getting deeper.
— Aram Zucker-Scharff | @[email protected] (@Chronotope) November 25, 2022
Elon Musk takes another W 
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Author here. This site lets you put in a username and get the users with the most similar writing style to that user. It confirmed several users who I suspected were alts and after informally asking around has identified abandoned accounts of people I know from many years ago. I made this site mostly to show how easy this is and how it can erode online privacy. If some guy with a little bit of Python, and $8 to rent a decent dedicated server for a day can make this, imagine what a company with millions of dollars and a couple dozen PhD linguists could do.
Here's Paul Graham:
How can I avoid being identified by stylometry?
You may be wondering what you can do to avoid having your writing style be used to profile you. This site works primarily by analyzing for each user the frequencies of the most common words and phrases in the English language. Accordingly, the easiest way to avoid being identified is to simply use different words than you ordinarily would when writing. More sophisticated models than the one I made can use punctuation, comma usage, and capitalization to identify you so try alternating those as well. Services like Quillbot can help with you this but depending on your circmstances you may not want to send your writings to a third party service.
Also, most authorship identification algorithms have poor accuracy when working with small amounts of words. This means the optimal strategy would be discarding an account either after every comment or after a small number of comments. Unfortunately, this is against HN rules and may result in a ban.
Amazon lost about $10bn on their voluntary spy project. 
.webp?h=10 "Cat Ears (wiggly) - MEOW MEOW MEOW MEOW MEOW MEOW MEOW")
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not dangerous, but you can set an HTML image to be any class, literally any class 
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Obviously it's Tom Brady's fault you kept your shitcoins on an exchange, lol. Use cold wallets, r-slurs.
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“Ha. Alright. Good luck with that.” -me. Just moments ago out loud. 😂
Same! Literally laughing at old men pretending they have control over this.
Right, literally the first thing I did once I got my hands on Stable Diffusion was insert celebrity name nude.
I think this law was made not because of typical porn deepfakes. But probably someone found the possibility of CP deepfake possibilities. (followed by a debate about whether this would be unethical)
lmao what a joke the uk is. Can't even take that place seriously. The government has been nothing but a laughing stock since 1776 and its only gotten worse since brexit.
The legislation is beyond terrible and this article is propaganda for trying to ram it through. (followed by someone insisting this Tory-sponsored bill is a move by the far left)
Hypothetical: I find an interesting gif. I share it with a friend. I get arrested. How should I be able to know that something is a deepfake or not? This can theoretically have a chilling affect on free speech as people will be afraid to share content for fear of accidentally sharing something that runs afoul of this law.
A chilling effect on sharing porn doesn't strike me as a dire consequence
(what follows these is a debate on free speech, including a quote about the First Amendment despite this being a British law, quotations taken from the First They Came For The Communists thing, and "The notion of free speech is a myth, and you'd do well to learn that.")
Good luck trying to ban a algorithm.
When it comes to online porn in the UK I guarantee this is a cover for a some shady way to remove people's right to digital privacy.
It should be illegal everywhere to make pornographic deepfakes of others without their consent
Everything doesn’t need to be banned you loon.
I don't think he's saying everything needs to be banned that's like the definition of a strawman argument you got there. (followed by about a dozen more back-and-forth comments)
Best of luck on that. Free speech laws in my country allow me to make a deep fake of you fricking a goat if I so choose. Distributing it over the internet is trivial.
Isn't facebook in its essence deepfake?
sure it is, its content made by voluntary actors...
you need Jesus
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Orange Site:
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Orange Site:
touch foxglove NOW 
proves that liking Marsey 
makes you an alpha 
(T. gondii causes wolves to be pack leaders)
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Genuinely interesting article, major meme potential.
As a certified gigachad, I eat cat poop every day
- jew : i will pin this if op denounces Loli futa shit porn and pledges to never watch it again
- JohnMcafee : Cyber Weapon
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Script adds a button to old.reddit.com/report that will automatically fill out the report, fill the link field with whatever you have copy-pasted, and submit the report to reddit all in one click. Written for @snus but I thought other people might like it too. Uploaded on catbox because rdrama doesn't allow you to upload .js files.
Average Brave Shill 
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Orange site: https://news.ycombinator.com/item?id=33726816
It is our pleasure to announce the open-source release of Stable Diffusion Version 2.
The original Stable Diffusion V1 led by CompVis changed the nature of open source AI models and spawned hundreds of other models and innovations worldwide. It had one of the fastest climbs to 10K Github stars of any software, rocketing through 33K stars in less than two months.
The dynamic team of Robin Rombach (Stability AI) and Patrick Esser (Runway ML) from the CompVis Group at LMU Munich headed by Prof. Dr. Björn Ommer, led the original Stable Diffusion V1 release. They built on their prior work of the lab with Latent Diffusion Models and got critical support from LAION and Eleuther AI. You can read more about the original Stable Diffusion V1 release in our earlier blog post. Robin is now leading the effort with Katherine Crowson at Stability AI to create the next generation of media models with our broader team.
Stable Diffusion 2.0 delivers a number of big improvements and features versus the original V1 release, so let's dive in and take a look at them.
New Text-to-Image Diffusion Models
The Stable Diffusion 2.0 release includes robust text-to-image models trained using a brand new text encoder (OpenCLIP), developed by LAION with support from Stability AI, which greatly improves the quality of the generated images compared to earlier V1 releases. The text-to-image models in this release can generate images with default resolutions of both 512x512 pixels and 768x768 pixels.
These models are trained on an aesthetic subset of the LAION-5B dataset created by the DeepFloyd team at Stability AI, which is then further filtered to remove adult content using LAION's NSFW filter.
Super-resolution Upscaler Diffusion Models
Stable Diffusion 2.0 also includes an Upscaler Diffusion model that enhances the resolution of images by a factor of 4. Below is an example of our model upscaling a low-resolution generated image (128x128) into a higher resolution image (512x512). Combined with our text-to-image models, Stable Diffusion 2.0 can now generate images with resolutions of 2048x2048--or even higher.
Depth-to-Image Diffusion Model
Our new depth-guided stable diffusion model, called depth2img, extends the previous image-to-image feature from V1 with brand new possibilities for creative applications. Depth2img infers the depth of an input image (using an existing model), and then generates new images using both the text and depth information.
The input image on the left can produce several new images (on the right). This new model can be used for structure-preserving image-to-image and shape-conditional image synthesis.
Depth-to-Image can offer all sorts of new creative applications, delivering transformations that look radically different from the original but which still preserve the coherence and depth of that image:
Depth-to-Image preserves coherence.
Updated Inpainting Diffusion Model
We also include a new text-guided inpainting model, fine-tuned on the new Stable Diffusion 2.0 base text-to-image, which makes it super easy to switch out parts of an image intelligently and quickly.
Just like the first iteration of Stable Diffusion, we’ve worked hard to optimize the model to run on a single GPU–we wanted to make it accessible to as many people as possible from the very start. We’ve already seen that, when millions of people get their hands on these models, they collectively create some truly amazing things. This is the power of open source: tapping the vast potential of millions of talented people who might not have the resources to train a state-of-the-art model, but who have the ability to do something incredible with one.
This new release, along with its powerful new features like depth2img and higher resolution upscaling capabilities, will serve as the foundation of countless applications and enable an explosion of new creative potential.
For more details about accessing the model, please check out the release notes on our GitHub: https://github.com/Stability-AI/StableDiffusion
We will offer active support to this repository as our direct contribution to open source AI and look forward to all the amazing things you all build on it.
We are releasing these models into the Stability AI API Platform (https://platform.stability.ai/) and DreamStudioin the next few days. We will be sending out an update on this with information for developers and partners, including pricing updates. We hope you all enjoy these updates!
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WTF? No way this is real (the rumor came from the Daily Star).
https://old.reddit.com/r/soccer/comments/z3jv0e/samuel_luckhurst_zara_founder_amancio_ortega/
https://old.reddit.com/r/apple/comments/z3hleb/the_daily_star_apple_are_rumoured_to_be/
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Brazil seizes iPhones from stores due to free charger requirement - 3
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snakes jc aevann carp deliberate
'member when boeing killed all those people by charging for a safety feature? 🍇 I 'member 🍇 Anyways boeing just won the class action so its fine guys
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- DickButtKiss : That is SO frickin gay and btw you will own nothing and like it
Now playing: Jib Jig (DKC2).mp3
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