It’s revolutionising building – but could AI kill off an entire profession? Perhaps not, finds our writer, as he enters a world where Corbusier-style marvels and 500-room hotels are just a click away.
Elon Musk claims that Tesla may have “figured out some aspects of AGI” as he believes that Tesla vehicles now have “a mind.”
The CEO has said several times that he believes most of Tesla’s value is attached to self-driving, ad he says Tesla could achieve it by the end of the year.
The Tesla community is divided between believers who think the automaker is indeed about to deliver on its long-stated promise, and people who have been burned too many times by missed timelines and think a robotaxi service from Tesla is still years away.
Imagine walking into your local place of worship, finding your seat, and getting ready to hear a sermon. But instead of your familiar priest, minister, or rabbi, a robot steps up to deliver the day’s message. It might sound like science fiction, but it’s becoming a real possibility in some parts of the world.
Can a machine really lead a religious service? Would people accept a robot as a spiritual guide? A new study decided to find out, and the results might surprise you.
Gal Frenkel built a wooden deck and pool in the backyard of his home in central Israel the summer after he had sold luxury wedding/bar mitzvah event planner Sky Productions (opening price for an event: $1 million).
Frenkel hosted a few parties there, and after the summer he didn’t think much about his pool and deck. When he went out to look at it the following spring, he was shocked.
“The whole area looked old and ruined and faded. I was so disappointed,” he tells ISRAEL21c. “I called the guy who installed the deck and said, ‘Nadav, you really messed it up.’ He started laughing. ‘Decks need ongoing maintenance,’ he explained. So, I asked him, ‘Can you do that for me?’ ‘Sure,’ he said. ‘The price will be 10,000 shekels.’”
Recent developments in the field of Artificial Intelligence have led to solutions to a variety of use cases. Different text-to-image generative models have paved the way for an exciting new field where written words can be transformed into vibrant, engrossing visual representations. The capacity to conceptualize distinctive ideas inside fresh circumstances has been further expanded by the explosion of personalization techniques as a logical evolution. A number of algorithms have been developed that simulate creative behaviors or aim to enhance and augment human creative processes.
Researchers have been putting in efforts to find out how one can use these technologies to create wholly original and inventive notions. For that, in a recent research paper, a team of researchers introduced Concept Lab in the field of inventive text-to-image generation. The basic goal in this domain is to provide fresh examples that fall within a broad categorization. Considering the challenge of developing a new breed of pet that is radically different from all the breeds we are accustomed to, the domain of Diffusion Prior models is the main tool in this research.
This approach has drawn its inspiration from token-based personalization, which is a pre-trained generative model’s text encoder using a token to express a unique concept. Since there are no previous photographs of the intended subject, creating a new notion is more difficult than using a conventional inversion technique. The CLIP vision-language model has been used to direct the optimization process in order to address this. There are positive and negative sides to the limitations; while the negative limitations cover the existing members of the category from which the generation should deviate, the positive constraint promotes the development of images that are in line with the wide category.
Modular robots—robotic systems that can adapt their body configuration to change locomotion style or move on different terrains—can be highly advantageous for tackling missions in diverse environments. Over the past decade or so, engineers have developed a wide range of modular robots that rely on different designs and underlying mechanisms.
A research team at Westlake University and Zhejiang University in China recently introduced a new modular robot design inspired by the paper-folding art of origami, specifically by an origami fold known as the Kresling pattern. Their design, introduced in a paper in Nature Communications, relies on newly introduced, universally deformable modules that can be rearranged to create different shapes and configurations.
“There have been some efforts to use Kresling pattern to develop multimode robotic arms,” Hanquing Jiang, one of the researchers who carried out the study, told Tech Xplore. “However, the existing methods are purely based the Kresling pattern itself; thus, the deformation modes are limited by the coupled twisting and contraction mode. The primary objective is to modify the classical Kresling pattern and to generate new deformation modes.”
Summary: In an eye-opening study, researcher revealed GPT-3, a popular artificial intelligence language model, performs comparably to college undergraduates in solving reasoning problems that typically appear on intelligence tests and SATs. However, the study’s authors question if GPT-3 is merely mimicking human reasoning due to its training dataset, or if it’s utilizing a novel cognitive process.
The researchers caution that despite its impressive results, GPT-3 has its limitations and fails spectacularly at certain tasks. They hope to delve deeper into the underlying cognitive processes used by such AI models in the future.
Daniel Dennett discusses the nature of consciousness, if consciousness is an illusion, artificial intelligence and virtual immortality, and how he covers all of this in his book, Just Deserts: Debating Free Will, co-authored with Gregg D. Caruso.
Just Deserts: Debating Free Will https://www.amazon.com/Just-Deserts-Debating-Free-Will/dp/15…atfound-20
Read an excerpt https://www.closertotruth.com/articles/book-excerpt-just-deserts.
Daniel Clement Dennett is a philosopher, writer, and cognitive scientist whose research centers on the philosophy of mind, philosophy of science, and philosophy of biology, particularly as those fields relate to evolutionary biology and cognitive science.
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