Dr. Li Jiang is a director of Stanford AIRE program. Many of you think ChatGPT started the era of AI. But, Dr. Jiang says it started already. AI seems much better than we do. It seems it can solve many problems. Then, what can we do? How can we survive from AI? How should we do? Dr. Jiang suggest this method for us who are facing the era of AI.
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00:00 Intro. 00:47 Know AI Thinking. 01:32 3 Things of AI Thinking. 03:45 How Do We Invent New Things? 04:29 5 Steps of Design Thinking. 07:05 I Let My Students Use ChatGPT
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What is it with this thin sheet of paper that makes it so precious? It’s not only the proof of acquired knowledge but plays into the reputation game of where you were trained. Being a graduate from Harvard Law School carries that extra glitz, doesn’t it? Yet take a closer look, and the diploma is the perfect ending to the modern tragedy of education.
Why? Because universities and curricula are designed along the three unities of French classical tragedy: time, action, and place. Students meet at the university campus (unity of place) for classes (unity of action) during their 20s (unity of time). This classical model has traditionally produced prestigious universities, but it is now challenged by the digitalisation of society – which allows everybody who is connected to the internet to access learning – and by the need to acquire skills in step with a fast-changing world. Universities must realise that learning in your 20s won’t be enough. If technological diffusion and implementation develop faster, workers will have to constantly refresh their skills.
The university model needs to evolve. It must equip students with the right skills and knowledge to compete in a world ‘where value will be derived largely from human interaction and the ability to invent and interpret things that machines cannot’, as the English futurist Richard Watson puts it. By teaching foundational knowledge and up-to-date skills, universities will provide students with the future-proof skills of lifelong learning, not just get them ‘job-ready’.
After 85 years of searching, researchers have confirmed the existence of a massless particle called the Weyl fermion for the first time ever. With the unique ability to behave as both matter and anti-matter inside a crystal, this strange particle can create electrons that have no mass.
The discovery is huge, not just because we finally have proof that these elusive particles exist, but because it paves the way for far more efficient electronics, and new types of quantum computing. “Weyl fermions could be used to solve the traffic jams that you get with electrons in electronics — they can move in a much more efficient, ordered way than electrons,” lead researcher and physicist M. Zahid Hasan from Princeton University in the US told Anthony Cuthbertson over at IBTimes. “They could lead to a new type of electronics we call ‘Weyltronics’.”
So what exactly is a Weyl fermion? Although we’re often taught in high school science that the Universe is made up of atoms, from a particle physics point of view, everything is actually made up of fermions and bosons. Put very simply, fermions are the building blocks that make up all matter, such as electrons, and bosons are the things that carry force, such as photons.
Resonance Science Foundation is a global research and education non-profit organization (501c3) committed to the unification of physics and science as a whole.
Founded by physicist Nassim Haramein in 2004, the RSF team of researchers and educators have developed a formal unified view of physics. These findings have implications and applications to revolutionary technologies that transform people’s lives and the world as a whole, helping to overcome some of the largest challenges facing the world today.
RSF also provides educational opportunities through the Resonance Academy, an online learning platform and international learning community that empowers people to gain a coherent and fundamental understanding of the structure, mechanics and dynamics of the universe.
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To ensure your survival, your brain evolved to avoid one thing: uncertainty. As neuroscientist Beau Lotto points out, if your ancestors wondered for too long whether that noise was a predator or not, you wouldn’t be here right now. Our brains are geared to make fast assumptions, and questioning them in many cases quite literally equates to death. No wonder we’re so hardwired for confirmation bias. No wonder we’d rather stick to the status quo than risk the uncertainty of a better political model, a fairer financial system, or a healthier relationship pattern. But here’s the catch: as our brains evolved toward certainty, we simultaneously evolved away from creativity—that’s no coincidence; creativity starts with a question, with uncertainty, not with a cut and dried answer. To be creative, we have to unlearn millions of years of evolution. Creativity asks us to do that which is hardest: to question our assumptions, to doubt what we believe to be true. That is the only way to see differently. And if you think creativity is a chaotic and wild force, think again, says Beau Lotto. It just looks that way from the outside. The brain cannot make great leaps, it can only move linearly through mental possibilities. When a creative person forges a connection between two things that are, to your mind, so far apart, that’s a case of high-level logic. They have moved through steps that are invisible to you, perhaps because they are more open-minded and well-practiced in questioning their assumptions. Creativity, it seems, is another (highly sophisticated) form of logic. Beau Lotto is the author of Deviate: The Science of Seeing Differently.
BEAU LOTTO:
Beau Lotto is a professor of neuroscience, previously at University College London and now at the University of London, and a Visiting Scholar at New York University.
His work focuses on the biological, computational and psychological mechanisms of perception. He has conducted and presented research on human and bumblebee perception and behavior for more than 25 years, and his interest in education, business and the arts has led him into entrepreneurship and engaging the public with science.
In 2001, Beau founded the Lab of Misfits, a neuro-design studio that was resident for two years at London’s Science Museum and most recently at Viacom in New York. The lab’s experimental studio approach aims to deepen our understanding of human nature, advance personal and social well-being through research that places the public at the centre of the process of discovery, and create unique programmes of engagement that span the boundaries between people, disciplines and institutions. Originally from Seattle, with degrees from UC Berkeley and Edinburgh Medical School, he now lives in Oxford and New York.
The event that shaped the world of Blade Runner is an event you’ve probably never heard of: World War Terminus. CJ explores the origin of Do Androids Dream of Electric Sheep’s environmental desolation and asks: did it happen in the movie, too?
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Word on the street is that GPT-4 is already done, and that the geniuses at OpenAI are secretly working on GPT-5 as we speak. That’s right; you heard it here first! But is it true? Is the next generation of language models already underway? Let’s dive in and find out.
0:00: Intro. 0:29: GPT-5 1:31: Is Bing’s AI Chatbot GPT-4? 4:13 A100 GPUs.
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Artificial intelligence, or A.I., is everywhere. It’s now part of our conversations about education and politics and social media. It’s also become a hot topic in the art world.
Programs that generate art using A.I. are widely available to the public and are skyrocketing in popularity. But what goes into these programs and the work that comes out are heavily debated in the arts community.
There is this picture—you may have seen it. It is black and white and has two silhouettes facing one another. Or maybe you see the black vase with a white background. But now, you likely see both.
It is an example of a visual illusion that reminds us to consider what we did not see at first glance, what we may not be able to see, or what our experience has taught us to know—there is always more to the picture or maybe even a different image to consider altogether. Researchers are finding the process in our brain that allows us to see these visual distinctions may not be happening the same way in the brains of children with autism spectrum disorder. They may be seeing these illusions differently.
“How our brain puts together pieces of an object or visual scene is important in helping us interact with our environments,” said Emily Knight, MD, Ph.D., assistant professor of Neuroscience and Pediatrics at the University of Rochester Medical Center, and first author on a study out today in the Journal of Neuroscience. “When we view an object or picture, our brains use processes that consider our experience and contextual information to help anticipate sensory inputs, address ambiguity, and fill in the missing information.”
