M3GAN wasn’t malicious. It followed its programming, but without any care or respect for other beings—ultimately including Cady. In a sense, as it engaged with the physical world, M3GAN became an AI sociopath.
Sociopathic AI isn’t just a topic explored in Hollywood. To Dr. Leonardo Christov-Moore at the University of Southern California and colleagues, it’s high time we build artificial empathy into AI—and nip any antisocial behaviors in the bud.
In an essay published last week in Science Robotics, the team argued for a neuroscience perspective to embed empathy into lines of code. The key is to add “gut instincts” for survival—for example, the need to avoid physical pain. With a sense of how it may be “hurt,” an AI agent could then map that knowledge onto others. It’s similar to the way humans gauge each others’ feelings: I understand and feel your pain because I’ve been there before.
Physicist Michio Kaku explains how quantum computing works and why it will outpace artificial intelligence as the next frontier in technological breakthroughs. #CNN #News
While the global technology community has been fixated on artificial intelligence (AI) software since the launch of OpenAI’s ChatGPT in November, the Chinese-made GR-1 — said to be capable of walking on two legs at a speed of 5km an hour while carrying a 50kg load — reminded people of the potential of bipedal robots, which are being pursued by global companies from Tesla to Xiaomi.
For Fourier, a Shanghai-based start-up, GR-1 was an unlikely triumph.
Organoids have now been created from stem cells to secrete the proteins that form dental enamel, the substance that protects teeth from damage and decay. A multi-disciplinary team of scientists from the University of Washington in Seattle led this effort.
Organiods are the new thing, when you think about how AI, and nanotechnology changed the worldnwe live in, but years from now you will realize it, like all I have predicted since I played with a Kurzweil Keyboard when I was a child.
Wilfrid Sellars described the task of philosophy as explaining how things, in the broadest sense of term, hang together, in the broadest sense of the term. (Substitute “exploring” for “explaining” and you’d have a good mission statement for the Mindscape podcast.) Few modern thinkers have pursued this goal more energetically, creatively, and entertainingly than Daniel Dennett. One of the most respected philosophers of our time, Dennett’s work has ranged over topics such as consciousness, artificial intelligence, metaphysics, free will, evolutionary biology, epistemology, and naturalism, always with an eye on our best scientific understanding of the phenomenon in question. His thinking in these areas is exceptionally lucid, and he has the rare ability to express his ideas in ways that non-specialists can find accessible and compelling. We talked about all of them, in a wide-ranging and wonderfully enjoyable conversation.
Daniel Dennett received his D.Phil. in philosophy from Oxford University. He is currently Austin B. Fletcher Professor of Philosophy and co-director of the Center for Cognitive Studies at Tufts University. He is known for a number of philosophical concepts and coinages, including the intentional stance, the Cartesian theater, and the multiple-drafts model of consciousness. Among his honors are the Erasmus Prize, a Guggenheim Fellowship, and the American Humanist Association’s Humanist of the Year award. He is the author of a number of books that are simultaneously scholarly and popular, including Consciousness Explained, Darwin’s Dangerous Idea, and most recently Bacteria to Bach and Back.
This is my latest thought 💭 post about humans and machines and why SymbioticAI (not control AI) is the way forward for humanity in the era of super intelligent machines.
Maybe interesting 🤔.
A recently published research paper from scientists at Anthropic demonstrates a method for determining how much “influence” individual instances of training data have on the generation of outputs by large language models.
Amazon announced this morning it will begin to leverage generative AI to help customers better understand what customers are saying about a product, without necessarily having to read through dozens of individual reviews. The retailer says it will use the new technology to provide a short paragraph of text right on the product detail page that will highlight the product features and customer sentiment mentioned across the customer reviews.
This blub of text could be used to get an overall sense of the common themes across the reviews more easily, Amazon noted.
In addition to the summary text, Amazon will also highlight key product attributes as clickable buttons. For example, if a customer wanted to know about the product’s “ease of use” or “performance,” they could tap a button to see just those reviews that mention those terms.
The chip’s components work in a way similar to synapses in human brains.
Tech corporation IBM has unveiled a new “prototype” of an analog AI chip that works like a human brain and performs complex computations in various deep neural networks (DNN) tasks.
The chip promises more. IBM says the state-of-the-art chip can make artificial intelligence remarkably efficient and less battery-draining for computers and smartphones.
