At least they will be able to have rationed conversations. https://bbs.clutchfans.net/threads/ronald-the-over-rated-president-regan.175563/page-6#post-4806170 @KingCheetah
An AI-powered virtual rapper, FN MEKA, has been signed to Capitol Records https://www.instagram.com/fnmeka/?hl=en
Fuego https://www.instagram.com/reel/Cg-ECydJrxP/?utm_source=ig_web_copy_link https://www.instagram.com/reel/Cfmv0ZmlmsE/?utm_source=ig_web_copy_link
More AI created nightmare fuel -- amazing how it seems to use the uncanny valley in strange ways to enhance the unsettling nature of images/ animations. The focus on the eyes is particularly clever and disturbing. Spoiler
I like how he adds this slow-walking pile of bolts and wires is using essentially the same self-driving computer that runs in your Tesla cars. Can't wait (like I have a choice). #soon
Goddammit, science, slow your roll Researchers have grown brain cells in a lab that have learned to play the 1970s tennis-like video game, Pong. They say their "mini-brain" can sense and respond to its environment. Writing in the journal Neuron, Dr Brett Kagan, of the company Cortical Labs, claims to have created the first ''sentient'' lab-grown brain in a dish. https://www.bbc.com/news/science-environment-63195653
Harvard's Robotic Tentacle Gripper Is Pure Nightmare Fuel A unique approach to gripping irregularly-shaped objects looks like curly hair come to life. Part of the versatility of the human hand’s ability to pick up almost anything comes from being able to apply a gentle touch for frail or oddly-shaped objects. That’s something robots struggle with, particularly when functioning autonomously, and unfortunately the solution could lie with an unorthodox gripper design that looks straight out of a horror movie. It seems fitting that researchers from Harvard’s John A. Paulson School of Engineering and Applied Sciences should reveal their new gripper design so close to Halloween as it takes inspiration from bizarre sea creatures like octopi and jellyfish that rely on groups of long tentacles and filaments to ensnare and reel in prey for consumption. The giant squid has long been a mysterious creature of ocean lore, so why not recreate one in a lab setting? The artificial tentacles are made from foot-long hollow rubber tubes with one side being slightly thicker than the other. When empty, they become limp and seemingly lifeless, hanging like straight hair, but when pumped full of air, they become pressurized and curl up like a pigtail. The curling action is more or less completely random, so if you were to put an object next to one of the tentacles as it curled up under pressure, there’s a chance it might wrap around it, and a chance it won’t. But place an object next to a large group of these tentacles, and it’s all but guaranteed that at least a few of them are going to wind around the object as they curl, and each other, and the more of these entanglements that occur, the stronger the grip becomes. Collectively the group of tentacles provides a strong hold on an object, but individually, each tentacle has a relatively weak grip meaning there’s little risk of a fragile object being damaged in the process. And because the tentacles only provide a secure hold when they’re pumped full of air, simply releasing that pressure will also release what’s being held. Tested using both real-world experiments with the prototype as well as simulations, the researchers believe the new gripper design could be an effective alternative to what’s used today for handling everything from plants, to fruits and vegetables, to even delicate glassware. However, the design still comes with some issues that will need to be addressed before something like this shows up in factories or warehouses. The random nature of the entanglements means that objects that have been picked up can’t be put back down with the same amount of precision and accuracy as the vacuum grippers that are used to handle delicate objects today, which poses a big challenge for automated tasks like packaging, or prepping a part for the next stage in an automated assembly line.
