Can you believe I just found this concept art on an old facebook group from like 2009................

seen from United States

seen from TĂĽrkiye
seen from Nepal
seen from Jamaica
seen from United Kingdom
seen from France
seen from United States

seen from Norway

seen from United Kingdom

seen from India
seen from Japan

seen from United States

seen from Malaysia

seen from Netherlands
seen from Italy

seen from United States

seen from Netherlands
seen from United States
seen from Malaysia
seen from Japan
Can you believe I just found this concept art on an old facebook group from like 2009................

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
I’ve disabled GenAI training on my Tumblr, FWIW. This should have been “opt-in” to begin with, and I have my doubts about how effective it will be. Automattic should not presume this fig-leaf with protect them from legal liability in future.
AI gains ability to a sense of imagination and feel
The problem is, creating something entirely new requires imagination—and until now that has perplexed AIs.
Artificial intelligence is getting very good at identifying things: show it a million pictures, and it can tell you with uncanny accuracy which ones depict a pedestrian crossing a street. But AI is hopeless at generating images of pedestrians by itself. If it could do that, it would be able to create gobs of realistic but synthetic pictures depicting pedestrians in various settings, which a self-driving car could use to train itself without ever going out on the road.
Dueling Neural Networks
Breakthrough Two AI systems can spar with each other to create ultra-realistic original images or sounds, something machines have never been able to do before. Why It Matters This gives machines something akin to a sense of imagination, which may help them become less reliant on humans—but also turns them into alarmingly powerful tools for digital fakery. Key Players Google Brain, DeepMind, Nvidia Availability Now The problem is, creating something entirely new requires imagination—and until now that has perplexed AIs.
How it began
The solution first occurred to Ian Goodfellow, then a Ph.D. student at the University of Montreal, during an academic argument in a bar in 2014. The approach, known as a generative adversarial network, or GAN, takes two neural networks—the simplified mathematical models of the human brain that underpin most modern machine learning—and pits them against each other in a digital cat-and-mouse game. Both networks are trained on the same data set. One, known as the generator, is tasked with creating variations on images it’s already seen—perhaps a picture of a pedestrian with an extra arm. The second, known as the discriminator, is asked to identify whether the example it sees is like the images it has been trained on or a fake produced by the generator—basically, is that three-armed person likely to be real? Over time, the generator can become so good at producing images that the discriminator can’t spot fakes. Essentially, the generator has been taught to recognize, and then create, realistic-looking images of pedestrians. The technology has become one of the most promising advances in AI in the past decade, able to help machines produce results that fool even humans.
GAN'S Experiments
A GAN trained on photos of real celebrities came up with its own set of imaginary stars. In most cases, the fakes looked pretty realistic. NVIDIA GANs have been put to use creating realistic-sounding speech and photorealistic fake imagery. In one example, researchers from chipmaker Nvidia primed a GAN with celebrity photographs to create hundreds of credible faces of people who don’t exist. Another research group made not-unconvincing fake paintings that look like the works of van Gogh. Pushed further, GANs can reimagine images in different ways—making a sunny road appear snowy, or turning horses into zebras. The results aren’t always perfect: GANs can conjure up bicycles with two sets of handlebars, say, or faces with eyebrows in the wrong place. But because the images and sounds are often startlingly realistic, some experts believe there’s a sense in which GANs are beginning to understand the underlying structure of the world they see and hear. And that means AI may gain, along with a sense of imagination, a more independent ability to make sense of what it sees in the world. —Jamie Condliffe Read the full article
FINAALLLY I end my Kanou x Ayase paintwork on photoshop : ] Hope you like it!
MY DA:Â http://bayrozoma.deviantart.com
This is a spoiler imagen (because is one of the last chapter) take care xD
thanks for all :)Â
@francisinparis I don’t know if you remember this story, but I found it in my drafts and decided to post it!Â
for @francisinparis 30 Day Challenge Day 15 - (Over the Phone “I wanted to hear your voice”) Fandom: Karneval Pairing: GareNai Other Dedications: Aside from @francisinparis (who I’ve now tagged three times in the same post!) I also wanted to dedicate this to the two people working on GareNai week, @timidwitch and @shim-ra ^_^ I can’t wait for you guys to get it up and running!Â
Also this is just a little drabble! Nothing major ^_^Â
“I wanted to hear your voice.”
That was it. That was Nai’s sole reason for calling Gareki. It had been a while since they had spoken to one another. Sure, they text and emailed one another, but it had been a while since they had heard each other speak.
But Gareki never expected Nai to call him for just that reason.
“I just… I really wanted to hear your voice.”
Why did he sound like he was crying? Gareki’s breath quickened and he found himself curling under his sheets, pretending his roommate wasn’t in the room with him.
“That’s it? You’re so ridiculous.” As much as Gareki wanted to tell Nai how badly he missed him and how happy he was to hear him and how much he wanted to be back with him, he couldn’t. He simply told the other that he was ridiculous.
“Why can’t I just tell him the truth? It’s like it’s physically impossible for me to just say what I want to,” he thought.
But it seemed Nai found that amusing. He laughed into the receiver.
“Are you still crying?” Gareki asked.
“No. No, I’m not crying. Now that I’m talking to you.”
“Is Yogi taking care of you? If not I’ll beat him up for you.”
“He is! He takes me on walks and lets me play with his Perona toys! It’s fun!”
“Yeah? Tell me about it. Tell me what you did today and what you do with everyone.”
And so Nai did. He talked for hours about his days and how much fun he was having on the ship even though Gareki was away at school. He talked about Karoku, but didn’t linger on that subject, moving onto how he had become good friends with Kiichi and Jiki.
And Gareki listened to every word. After all, he had so terribly missed Nai’s voice.

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
francisinparis Not-So-30-Day Karneval Challenge
Day 3: Bad Dreams/Visions about the other
Title: It Couldn’t Have Been Anything Else