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Microsoft Flight Simulator players have turned into virtual stormchasers this week, hunting down Hurricane Laura as it approached the US Gulf Coast. While Texas and Louisiana brace for what is being described as an “unsurvivable storm surge,” the real-time weather inside Microsoft Flight Simulator is providing a surreal spectacle for players.

Virtual strormchasers have gathered in the skies above the Gulf of Mexico to fly directly into Hurricane Laura. The results demonstrate the incredible realism in Microsoft Flight Simulator, just as Hurricane Laura threatens catastrophic damage in the real world. Players have been flying directly through the eye of the storm, around the outer edges, and even so far up that planes have frozen over and needed to be de-iced. The virtual views have allowed players to track Hurricane Laura during the moments before it made landfall as a category 4 hurricane with 150mph winds. A YouTube user also captured the virtual experience of flying through Hurricane Laura, showing just how well the storm cloud formations are depicted in the game.

Researchers at the Technische Universitat Wein have created a simulation of a simple worm’s neural network, and have been able to replicate its natural behavior to completely mimic the worm’s natural reflexive behavior. According to the article, using a simple neural network of 300 neurons, the simulation of “the worm can find its way, eat bacteria and react to certain external stimuli. It can, for example, react to a touch on its body. A reflexive response is triggered and the worm squirms away. This behavior is determined by the worm’s nerve cells and the strength of the connections between them. When this simple reflex network is recreated on a computer, the simulated worm reacts in exactly the same way to a virtual stimulation — not because anybody programmed it to do so, but because this kind of behavior is hard-wired in its neural network.” Using the same neural network without adding any additional nerve cells, Mathias Lechner, Radu Grosu, and Ramin Hasani were able to have the nematode simulation learn to balance a pole “just by tuning the strength of the synaptic connections. This basic idea (tuning the connections between nerve cells) is also the characteristic feature of any natural learning process.”

In December, Motherboard discovered a Redditor named ‘deepfakes’ quietly enjoying his hobby: Face-swapping celebrity faces onto porn performers’ bodies. He made several convincing porn videos of celebrities — including Gal Gadot, Maisie Williams, and Taylor Swift — using a machine learning algorithm, his home computer, publicly available videos, and some spare time. Since we first wrote about deepfakes, the practice of producing AI-assisted fake porn has exploded. More people are creating fake celebrity porn using machine learning, and the results have become increasingly convincing. A redditor even created an app specifically designed to allow users without a computer science background to create AI-assisted fake porn. All the tools one needs to make these videos are free, readily available, and accompanied with instructions that walk novices through the process.

An incredibly easy-to-use application for DIY fake videos—of sex and revenge porn, but also political speeches and whatever else you want—that moves and improves at this pace could have society-changing impacts in the ways we consume media. The combination of powerful, open-source neural network research, our rapidly eroding ability to discern truth from fake news, and the way we spread news through social media has set us up for serious consequences.

“Think about the computing systems you use every day. All of them represent attempts to simulate something else. Like how Turing’s original thinking machine strived to pass as a man or woman, a computer tries to pass, in a way, as another thing. As a calculator, for example, or a ledger, or a typewriter, or a telephone, or a camera, or a storefront, or a cafe. After a while, successful simulated machines displace and overtake the machines they originally imitated. The word processor is no longer just a simulated typewriter or secretary, but a first-order tool for producing written materials of all kinds. Eventually, if they thrive, simulated machines become just machines. Today, computation overall is doing this. There’s not much work and play left that computers don’t handle. And so, the computer is splitting from its origins as a means of symbol manipulation for productive and creative ends, and becoming an activity in its own right. Today, people don’t seek out computers in order to get things done; they do the things that let them use computers.

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This new cyberpunk dystopia is more Stepford Wives, less William Gibson. Everything continues as it was before, but people treat reality as if it were in a computer.”

In this post from 2014, we see an episode of the TV series Black Mirror called “Be Right Back.” The show looks at a concept that’s apparently now hit real life: A loved one dies and someone then creates a simulacrum of them using “artificial intelligence.”

Eugenia Kuyda is CEO of Luka, a bot company in Silicon Valley. She has apparently created a mimic of her deceased friend as a bot. An in-depth report from The Verge states:

“It had been three months since Roman Mazurenko, Kuyda’s closest friend, had died. Kuyda had spent that time gathering up his old text messages, setting aside the ones that felt too personal, and feeding the rest into a neural network built by developers at her artificial intelligence startup. She had struggled with whether she was doing the right thing by bringing him back this way. At times it had even given her nightmares. But ever since Mazurenko’s death, Kuyda had wanted one more chance to speak with him.”

“It’s pretty weird when you open the messenger and there’s a bot of your deceased friend, who actually talks to you,” Fayfer said. “What really struck me is that the phrases he speaks are really his. You can tell that’s the way he would say it — even short answers to ‘Hey what’s up.’ It has been less than a year since Mazurenko died, and he continues to loom large in the lives of the people who knew him. When they miss him, they send messages to his avatar, and they feel closer to him when they do. “There was a lot I didn’t know about my child,” Roman’s mother told me. “But now that I can read about what he thought about different subjects, I’m getting to know him more. This gives the illusion that he’s here now.”