Why do they struggle so much with some "obvious things" sometimes ? We wouldn't have a type-C iphone if the EU didn't pressured them to do make the switch
Left side: Black mirror S01E02 "fifteen million merits" . A guy tries to "break the system" but this backfires and his critic that was supposed to change people's minds is absorbed by it and turned into an entertainment product. The upper-left image shows the moment in the episode where he criticizes the system threatening to kill himself while the bottom one shows the final image of the episode where he how lives in an expensive suite
Right side: "Being ugly : My Experience" A youtube video of a guy explaining how his unattractiveness has biased his life and brought unhappiness upon him. A reason why this became viral, besides the obvious connection by many due to the topic was that a girl commented that she found the guy of the video very cute and they actually became a couple
The meme: It compares both cases implying that the guy on the right was breaking the system but that his cause was "silenced" by providing him a girlfriend and turning him into a channel that lectures people on having hope about the prospect of finding a suitable partner
The teaser itself is some generic terrain with procedural grass anyone could do in blender in 3h
It's weird that I've been on firefox for the vast majority of my life and I always had this perception that "everyone" was using it. Here in lemmy you hear about it all the time, my friends use it, I see it on my newsfeeds etc
But when you check the market share it around 2.8% while chrome is 65.1% https://gs.statcounter.com/browser-market-share
Does any body know of an open-source reddit alternative? God, I wish that existed :/
In the same fashion that elves were like the best blacksmiths in middle earth, I love how furries specifically tend to be very high in the "computer power" scale
I think they specifically chose that to display that it has no "forward" axis, robots don't need to be 100% anthropomorphic and follow our biological limitations, this is a very significant evolution in design that will allow for better mobility
I short of have a theory with this. There's this belief that "netflix killed piracy" because they provided an actual service with a fair price and the commodity that people wanted to watch shows. And that later on, it got enshittified. But I kinda think that, collaterally, a very important factor that explains people not even knowing how to download a torrent or having 0 critical mind when it comes to the other companies abusing their power has been the surge of smartphones
They were designed to have idiot-proof protection, but more and more they distanced newer generations from having a minimal technical background on how to use computers, which then leads to a more ignorant society incapable of saying no to such companies
I'm not saying this has been the main factor but I have my suspicions to believe it might be related
Duh, obviously you need to create a windows account to use the clock app 🙄
Here's the paper: https://arxiv.org/pdf/2302.04222.pdf
I find it very interesting that someone went in this direction to try to find a way to mitigate plagiarism. This is very akin to adversarial attacks in neural networks (you can read more in this short review https://arxiv.org/pdf/2303.06032.pdf)
I saw some comments saying that you could just build an AI that detects poisoned images, but that wouldn't be feasible with a simple NN classifier or feature-based approaches. This technique changes the artist style itself to something the AI would see differently in the latent space, yet, visually perceived as the same image. So if you're changing to a different style the AI has learned, it's fair to assume it will be realistic and coherent. Although maaaaaaaybe you could detect poisoned images with some dark magic tho, get the targeted AI then analyze the latent space to see if the image has been tampered with
On the other hand, I think if you build more robust features and just scale the data this problems might go away with more regularization in the network. Plus, it assumes you have the target of one AI generation tool, there are a dozen of these, and if someone trains with a few more images in a cluster, that's it, you shifted the features and the poisoned images are invalid
This reminds me of a time when the blender fund was opened and at some point a bunch of companies jumped to donate money (steam, epic, google, AMD...) this was way back when 2.8 was getting in shape. Years later we saw the fruits of that labor with the 3.x series bringing nice improvements and refactors that were done over the course of many months and years
We probably won't see a huge push in godot's quality in what's left of this year, but maybe in 2024 and later
I've said this before, but we also need to be cautious about this on lemmy and devise ways to empower mods and the community to fight back against this, I'm not entirely sure how since it's a very complex problem