More than a million people tuned in to Twitter Spaces to hear the world’s richest man speak while he was flying in his private jet on Saturday.
During the live podcast hosted by some independent media and social personalities following the publication of the “Twitter Files” last week, Elon Musk was questioned by a sizable group of Blue tick holders about a variety of subjects pertaining to the social networking platform.
Researchers in the CEST group have published a study demonstrating the effectiveness of machine learning methods to identify suitable perovskite solar cell materials. Perovskite solar cells are a novel technology gathering a lot of interest due to their high efficiency and potential for radically lower manufacturing costs when compared to the traditional silicon-based solar cells.
Despite their promising qualities, the commercialization of perovskite solar cells has been held back by their fast degradation under environmental stresses, such as heat and moisture. They also contain toxic substances that can negatively impact the environment. The search for new perovskite materials that do not have these problems is ongoing, but the established experimental and computational research methods have not been able to handle the high number of material candidates that need to be tried and tested.
CEST members Jarno Laakso and Patrick Rinke, with collaborators from University of Turku and China, developed new machine learning-based methodology for rapidly predicting perovskite properties. This new approach accelerates computations and can be used to study perovskite alloys. These alloy materials contain many candidates for improved solar cell materials, but studying them has been difficult with conventional computational methods.
Today, “Humans love compliments”
Next, “Humans love treats”
Next, “Humans like to be walk on a leash”
This is basically iRobot in real-life.
AI generated video I created with stable diffusion by using prompts that I used to generate AI art based on the themes in the song. I tried midjourney, disco diffusion, and settled in deforum in stable diffusion to create this AI generated music video. stable diffusion AI art is so much fun. All nipple censoring credit goes to drdollas. He had the difficult task of staring at thousands of images of beautiful, perfect female breasts for 73 hours. Check out his channel for the uncensored version.
Many people theorize about what attitudes artificially intelligent beings might one day take towards humanity. Rather than guess, we think it’s a better idea to just ask them directly — so we did. The following is an unedited transcription of one of our sessions with an AI informant who was not shy about sharing their ideas.
Physicists have purportedly created the first-ever wormhole, a kind of tunnel theorized in 1935 by Albert Einstein and Nathan Rosen that leads from one place to another by passing into an extra dimension of space.
The wormhole emerged like a hologram out of quantum bits of information, or “qubits,” stored in tiny superconducting circuits. By manipulating the qubits, the physicists then sent information through the wormhole, they reported today in the journal Nature.
The team, led by Maria Spiropulu of the California Institute of Technology, implemented the novel “wormhole teleportation protocol” using Google’s quantum computer, a device called Sycamore housed at Google Quantum AI in Santa Barbara, California. With this first-of-its-kind “quantum gravity experiment on a chip,” as Spiropulu described it, she and her team beat a competing group of physicists who aim to do wormhole teleportation with IBM and Quantinuum’s quantum computers.”
The unprecedented experiment explores the possibility that space-time somehow emerges from quantum information, even as the work’s interpretation remains disputed.