The biggest ideas in physics, broken down. Join theoretical physicist Dan Hooper and co-host Shalma Wegsman as they answer your questions about dark matter, black holes, quantum mechanics, and more. Part of The University of Chicago Podcast Network.
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Steve Hsu is Professor of Theoretical Physics and Computational Mathematics, Science, and Engineering at Michigan State University. Join him for wide-ranging conversations with leading writers, scientists, technologists, academics, entrepreneurs, investors, and more.
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Dr. Katie Mack, a theoretical astrophysicist, walks #1 New York Times bestselling author John Green through the history of the entire universe - including the parts that haven’t been written yet.
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The podcast focuses on topics in theoretical/computational neuroscience and is primarily aimed at students and researchers in the field.
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Jim Rantschler and Randy Morrison discuss physics from elementary particles to cosmological effects at the limits of our theoretical knowledge or have recently emerged.
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An Eclectic Podcast by Abhijit Chavda: Indian & World History, Theoretical Physics, Astrophysics, Quantum Physics, Geopolitics, Culture, Education, Technology, Philosophy, & the Future of Humanity.
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Every year the Arnold Sommerfeld Center (ASC) for Theoretical Physics at the LMU in Munich organizes a school for PhD students. It covers topics which are of current interest in theoretical physics and range from more applied fields like condensed matter physics to rather mathematical fields like string theory. Announcements of upcoming schools can be found on the ASC schools webpage and a list of past schools can be found in the archive of the ASC schools.
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The Origins Podcast features in-depth conversations with some of the most interesting people in the world about the issues that impact all of us in the 21st century. Host, theoretical physicist, lecturer, and author, Lawrence M. Krauss, will be joined by guests from a wide range of fields, including science, the arts, and journalism. The topics discussed on The Origins Podcast reflect the full range of the human experience - exploring science and culture in a way that seeks to entertain, edu ...
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Dr. Ben Tippett and his team of physicists believe that anyone can understand physics. Black Holes! Lightning! Coronal Mass Ejections! Quantum Mechanics! Fortnightly, they explain a topic from advanced physics, using explanations, experiments and fun metaphors to a non-physicist guest. Visit the website to see a list of topics sorted by physics field.
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Raise your consciousness by listening to a multidimensional guru from central Harlem, NY. Inspire yourself
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Exploring theoretical physics, consciousness, Ai, and God in a technically rigorous manner. If you'd like to support this endeavor, then please visit the Patreon ( https://patreon.com/curtjaimungal ). Thank you for your charitable and kindhearted support. My name's Curt Jaimungal, a Torontonian with a degree in mathematical physics from the University of Toronto and I analyze various Theories of Everything from this analytic perspective, though more and more opening up to alternative approac ...
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AI may be the most important technology of any lifetime. But business leaders have more questions than answers about AI's potential and how to use it safely. Join CEO of Salesforce AI Clara Shih as she sits down with industry experts and thought leaders to explore the exciting ways AI is reshaping business. We’re covering everything from ethical and theoretical issues to technical and practical uses. Whether you're a seasoned business leader or just starting your journey with AI, this podcas ...
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Learn about quantum mechanics, black holes, dark matter, plasma, particle accelerators, the Large Hadron Collider and other key Theoretical Physics topics. The Rudolf Peierls Centre for Theoretical Physics holds morning sessions consisting of three talks, pitched to explain an area of our research to an audience familiar with physics at about second-year undergraduate level.
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The Thought Experiment is a podcast devoted to theoretical situations of the same name. Once a week, we cover a thought experiment from the fields of mathematics, physics or philosophy.
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A day without a friend is like a pot without a single drop of honey left inside, said a wise little bear once. From therapy to theoretical physics, sex to secularism, bags to baggage, catch these friends and their conversations about the little things and big - Conversations with Friends on The Podcaster.
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A traumatic experience causes a young woman to enter a new dimension, bending and breaking the time continuum as we understand it. Not only does she have no memory of her previous life but she has entered this new dimension split into three separate people, Shondra, Henrietta and Lou. They go through this new life without any knowledge of each other, at least not right away. Taking place primarily in Reno, Nevada, the girls begin to create new identities and relationships. Shondra as a CIA a ...
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SciVibes: Chatting With Global Scientists brings you casual conversations with global scientists, fascinating chats that happen at coffee breaks and in the corridors with some of the thousands of scientists that visit ICTP every year.
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This podcast will introduce you to brilliant researchers working at the forefront of science, seeking to solve nature’s deepest mysteries – from quantum to cosmos. Learn about their motivations, the challenges they encounter, and the drive that keeps them searching for answers. Join the conversation!
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This is a one of a kind podcast that will take you a mile in the shoes of different people across the world. We all feel lost and unsure of where we want to go or what we want to do. Together by learning from people who have done different things, we can discover what we like and move forward. I’m your host, Ajay Prakash, a serial entrepreneur, and I’ve gone through product, marketing, theoretical physics, development and several other roles to figure out my passion. I’m still figuring it ou ...
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This podcast takes you behind the scenes into the world of quantum computing research: through conversations with researchers, we explore the latest and most exciting ideas in the field. The podcast is aimed at anyone interested in quantum computing. About the hosts: Vincent Russo (https://vprusso.github.io/) has a PhD in computer science. Software engineer by day and quantum engineer by night. William Slofstra (http://elliptic.space) is a mathematician at the University of Waterloo. Henry Y ...
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Welcome to the NEW MindBrainBody Network on BlogTalkRadio! The new home of the popular radio shows Man, Myth & the Occult, EYE of the SEER, and Ordinary People. Join leading esotericist and scientist Michael Jon Kell, M.D., Ph.D. and autocephalous Russian Orthodox bishop and metaphysician +Bryan D. Ouellette, Ph.D. and their special guest hosts, as they discuss applied Occultism, Metaphysics, Spirituality, Gnosticism, Religion, the Paranormal, Health, Theoretical Physics, Holistic Medicine, ...
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Running out of time to catch up with new arXiv papers? We take the most impactful papers and present them as convenient podcasts. If you're a visual learner, we offer these papers in an engaging video format. Our service fills the gap between overly brief paper summaries and time-consuming full paper reads. You gain academic insights in a time-efficient, digestible format. Code behind this work: https://github.com/imelnyk/ArxivPapers Support this podcast: https://podcasters.spotify.com/pod/s ...
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What if the cataclysmic Tunguska explosion of 1908 was caused, not by a meteor or a comet, but by a microscopic black hole? … Well, like as not, you already know that story — the one told by Bill DeSmedt in his award-winning novel/podcast Singularity. What you may not know, though, is the story behind the story: the science behind Singularity. Surprisingly (or maybe not), you can learn a lot about primordial black holes and the Tunguska Event and black hole radiation and the Big Bang on the ...
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The Journal of Neurologic Physical Therapy is the official peer-reviewed publication of the Neurology Section of the American Physical Therapy Association. JNPT is the primary peer reviewed resource for advancing neurologic physical therapy practice through the dissemination of definitive evidence, translation of clinically relevant knowledge, and integration of theory into education, practice and research.
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Sing For Science is a science and music podcast produced with Talkhouse where musicians talk to scientists about science as it connects to their most famous songs. Created and hosted by New York musician, Matt Whyte, the podcast’s goal is to increase science literacy for as many people as possible by reaching a variety of different musicians’ fan bases. Listeners come to the show through their love of music and leave with a new piece of knowledge. Science literacy and respect for expertise a ...
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Welcome to ReadySetReiki® A podcast about Reiki and Energy work. From the curious beginning to the seasoned Master Teacher. Welcoming all those who work with energy. Join Reiki Master Tracy Searight as she guides you on a journey through this landscape of energy work. Each guest offers an in-depth unique perspective sharing their journey which had 'a profound effect on their healing and development as a person. Come along on this journey and explore all the possibilities of working with ener ...
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If you feel the excitement of standing at the threshold of a new era in human history, you've come to the right place. At Space Café, we're not just discussing current events in space exploration – we're peering into the future of our species among the stars. Each episode, we invite you to join us as we: - Engage with visionaries who are actively shaping our cosmic destiny - Explore groundbreaking technologies that are turning science fiction into reality - Discuss the profound implications ...
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SciSection is the #1 Science Show being produced from the center of Hamilton, in Ontario, Canada. SciSection aims to bridge the gap between individuals who may not be exposed to the same information as those studying sciences. Science is not just about chemical titrations or DNA transcription - nor is it only for that one character who wears an Einstein shirt in all those TV shows. From time to time we tend to forget that all the sciences are being studied for the betterment of us as a globa ...
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The Data-Driven Marketer is a podcast dedicated to helping today’s Marketing Operations, Demand Gen, and Sales Operations professionals learn from each other's experiences to become more successful. Whether you’re looking to learn how industry experts charted a course to get where they are today, find out how fast-growing companies made decisions on their marketing strategy and tech stack, or discover what innovative companies are doing with data to drive their success, this is the podcast f ...
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Blog Order (Podcast 1 in Blog 40) 40. J. Miller, K. Vine, and D. Larkin, ‘The Relationship of Product and Process Performance of the Two-Handed Sidearm Strike’, Physical Education and Sports Pedagogy, 2007, 12, 61–75. 41. K. L. Oliver and R. Lalik, ‘The Body as Curriculum: Learning with Adolescent Girls’, Journal of Curriculum Studies, 2001, 33, 303–33. 42. C. C. Pope and M. O’Sullivan, ‘Darwinism in the Gym’, Journal of Teaching in Physical Education, 2003, 22, 311–27. 43. J. Quay, ‘Experie ...
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Episode #112 Lotty Ackerman Mayer's Healing Journey: From Theoretical Physics to Reiki Mastery – Embracing Energy Healing, Somatic Experiencing, and Spiritual Integration
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Discover the remarkable journey of Lotty Ackerman Mayer, a Venezuelan-born intuitive healer and psychotherapist turned Reiki Master. Lottie's story is a beautiful fusion of science and spirituality as she transitioned from earning a PhD in theoretical physics to dedicating her life to social work and trauma healing. Her passion for merging modern s…
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What happened before the Big Bang? CERN's head of theoretical physics Gian Giudice has a hunch
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We love to hear from you. Send us your thought, comments, suggestions, love letters Guest: Gian Giudice, Head of Theoretical Physics at CERN The Cosmic Scoop: In this mind-bending episode, we dive into the deepest mysteries of our universe with Dr. Gian Giudice, Head of Theoretical Physics at CERN. Dr. Giudice takes us on a journey beyond the Big B…
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Fall Asleep to Physics Theories 10 Hours ★︎ World's Top Theoretical Physicists ★︎ Sleep Playlist
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Fall Asleep to Theoretical Physics Theories SPONSOR: As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe CHAPTERS: Roger Penrose - Collapse of the Wave Function Stephen Wolfram - Observer Theory Brian Greene - Faster Than Light Travel and Wormholes Sean Carroll - …
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Using AI to Power the Physical World feat. Barbara Humpton, CEO of Siemens USA | Ask More of AI with Clara Shih
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Join Clara and Barbara Humpton, CEO of Siemens USA, as they discuss how AI is transforming physical infrastructure and manufacturing, from predictive maintenance to remote factory management. Humpton shares insights on building trusted industrial AI systems, bringing manufacturing jobs back to America through "glocalization," and why she believes c…
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[QA] Where Do Large Learning Rates Lead Us?
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This study investigates optimal initial learning rates for neural networks, finding a narrow range enhances generalization by locating high-quality minima and focusing on relevant features, unlike extreme rates. https://arxiv.org/abs//2410.22113 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…
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Where Do Large Learning Rates Lead Us?
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This study investigates optimal initial learning rates for neural networks, finding a narrow range enhances generalization by locating high-quality minima and focusing on relevant features, unlike extreme rates. https://arxiv.org/abs//2410.22113 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…
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[QA] Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
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The paper introduces a Fourier series-based neural network layer to improve continuous token modeling in decision-making and time series tasks, enhancing performance in various benchmarks. https://arxiv.org/abs//2410.22269 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…
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Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
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The paper introduces a Fourier series-based neural network layer to improve continuous token modeling in decision-making and time series tasks, enhancing performance in various benchmarks. https://arxiv.org/abs//2410.22269 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…
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SOFI TUKKER: Bread (Bread Science with Dr. Maria Ortiz)
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Recorded Live at the Emory Ideas Fest at Emory University’s Oxford Campus on September 22, 2024. Global dance music stars SOFI TUKKER celebrate the release of their bread themed album Bread with a conversation about the science that makes bread so delicious and universal. Joining us is food scientist Dr. Maria Ortiz who runs the popular Instagram p…
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[QA] LoRA vs Full Fine-tuning: An Illusion of Equivalence
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This study analyzes the differences between full fine-tuning and LoRA in large language models, revealing distinct weight matrix structures and generalization behaviors despite similar performance on tasks. https://arxiv.org/abs//2410.21228 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…
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LoRA vs Full Fine-tuning: An Illusion of Equivalence
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This study analyzes the differences between full fine-tuning and LoRA in large language models, revealing distinct weight matrix structures and generalization behaviors despite similar performance on tasks. https://arxiv.org/abs//2410.21228 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…
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[QA] Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
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Vision-Language Models show promise in reasoning across text and images but struggle with basic visual concepts, revealing significant gaps in their understanding and generalization abilities. https://arxiv.org/abs//2410.19546 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…
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Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
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Vision-Language Models show promise in reasoning across text and images but struggle with basic visual concepts, revealing significant gaps in their understanding and generalization abilities. https://arxiv.org/abs//2410.19546 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…
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[QA] Computational Bottlenecks of Training Small-scale Large Language Models
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This study investigates the training behavior and computational requirements of Small-scale Large Language Models (SLMs), focusing on hyperparameters and configurations to enhance efficiency and support low-resource AI research. https://arxiv.org/abs//2410.19456 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pap…
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Computational Bottlenecks of Training Small-scale Large Language Models
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This study investigates the training behavior and computational requirements of Small-scale Large Language Models (SLMs), focusing on hyperparameters and configurations to enhance efficiency and support low-resource AI research. https://arxiv.org/abs//2410.19456 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_pap…
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[QA] Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
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This paper introduces a hybrid approach combining physics-informed neural networks and cylindrical approximation to efficiently solve functional differential equations, addressing computational challenges and improving numerical analysis. https://arxiv.org/abs//2410.18153 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/…
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Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
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This paper introduces a hybrid approach combining physics-informed neural networks and cylindrical approximation to efficiently solve functional differential equations, addressing computational challenges and improving numerical analysis. https://arxiv.org/abs//2410.18153 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/…
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[QA] A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
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This paper shows that integrating coherent reasoning in Few-shot Chain-of-Thought prompting enhances transformer performance, revealing sensitivity to errors in intermediate steps and proposing improvements using varied reasoning paths. https://arxiv.org/abs//2410.16540 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@a…
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A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
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This paper shows that integrating coherent reasoning in Few-shot Chain-of-Thought prompting enhances transformer performance, revealing sensitivity to errors in intermediate steps and proposing improvements using varied reasoning paths. https://arxiv.org/abs//2410.16540 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@a…
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[QA] LEGO: Language Model Building Blocks
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LEGO is a novel technique for extracting and recombining small language models from large language models, enhancing efficiency, robustness, and user data privacy while reducing costs. https://arxiv.org/abs//2410.18287 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.c…
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LEGO: Language Model Building Blocks
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LEGO is a novel technique for extracting and recombining small language models from large language models, enhancing efficiency, robustness, and user data privacy while reducing costs. https://arxiv.org/abs//2410.18287 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.c…
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[QA] Knowledge Distillation Using Frontier Open-Source LLMs: Generalizability and the Role of Synthetic Data
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This study explores knowledge distillation from Llama-3.1-405B to smaller models, demonstrating improved accuracy and efficiency through synthetic data and diverse evaluation methods across various tasks. https://arxiv.org/abs//2410.18588 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: http…
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Knowledge Distillation Using Frontier Open-Source LLMs: Generalizability and the Role of Synthetic Data
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This study explores knowledge distillation from Llama-3.1-405B to smaller models, demonstrating improved accuracy and efficiency through synthetic data and diverse evaluation methods across various tasks. https://arxiv.org/abs//2410.18588 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: http…
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Who Should Represent Humanity in Space? Virgin Galactic's Space Pioneer Loretta Whitesides Has a Radical Answer
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We love to hear from you. Send us your thought, comments, suggestions, love letters Episode Highlights In this profound conversation, Loretta Hidalgo Whitesides shares her vision for preparing humanity for space exploration through personal growth and development. As a thought leader in human spaceflight and founder of SpaceKind (formerly Jedi trai…
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Seeking Truth From Facts: Israel and Iran, Missile Defense, China Economic Development
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This is a crossover episode with the Seeking Truth From Facts podcast. (00:00) - Iranian missile attack vs Israel and missile defense (13:10) - Is there potential for a 1973-style oil crisis? (21:41) - Is NATO getting tired of the proxy war in Ukraine? (25:43) - Why has Europe declined relatively since 2008 and what are the consequences of said dec…
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[QA] Beyond position: how rotary embeddings shape representations and memory in autoregressive transfomers
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This paper explores how Rotary Positional Embeddings (RoPE) affect Transformer model dynamics, introducing phase shifts that influence embeddings, information retention, and attention through oscillatory behaviors and frequency components. https://arxiv.org/abs//2410.18067 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com…
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Beyond position: how rotary embeddings shape representations and memory in autoregressive transfomers
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This paper explores how Rotary Positional Embeddings (RoPE) affect Transformer model dynamics, introducing phase shifts that influence embeddings, information retention, and attention through oscillatory behaviors and frequency components. https://arxiv.org/abs//2410.18067 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com…
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[QA] ALTA: Compiler-Based Analysis of Transformers
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ALTA is a new programming language and compiler that maps programs to Transformer weights, enabling loop expression and improved algorithm representation, while providing tools for analyzing training challenges. https://arxiv.org/abs//2410.18077 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…
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ALTA: Compiler-Based Analysis of Transformers
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ALTA is a new programming language and compiler that maps programs to Transformer weights, enabling loop expression and improved algorithm representation, while providing tools for analyzing training challenges. https://arxiv.org/abs//2410.18077 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…
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Dreamforce '24 Main Keynote Highlights: Inside Salesforce's Agentforce Revolution
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Join Clara Shih, CEO of Salesforce AI, to explore Agentforce, a groundbreaking AI platform that combines roles, data, actions, channels, and Trust to create autonomous enterprise agents. Highlights from the 2024 Dreamforce Keynote, where CEO Marc Benioff, EVP Patrick Stokes, and Clara show how AI agents can transform customer service, sales, market…
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#Episode #111 Dean Bottles' Healing Journey: From Computer Technician to Omni Healer – Embracing Energy Work, Quantum Concepts, and Spiritual Expansion
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54:08
Discover the extraordinary journey of Dean Bottles, aka Omni, as he reveals his path from a young computer technician to a renowned global healer. Imagine healing a friend’s cancer with just a touch – an unforeseen event that awakened Dean to his incredible healing abilities. Join us as he shares how an unexpected whistleblowing incident became a t…
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[QA] UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
8:06
8:06
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8:06
This paper introduces UNSTAR, a novel unlearning method for large language models using anti-samples to efficiently and selectively reverse learned associations, enhancing privacy and model modification capabilities. https://arxiv.org/abs//2410.17050 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Po…
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UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
16:43
16:43
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16:43
This paper introduces UNSTAR, a novel unlearning method for large language models using anti-samples to efficiently and selectively reverse learned associations, enhancing privacy and model modification capabilities. https://arxiv.org/abs//2410.17050 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Po…
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[QA] Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
7:48
7:48
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7:48
This paper explores how Knowledge Editing algorithms can unintentionally distort model representations, leading to decreased factual recall and reasoning abilities, a phenomenon termed "representation shattering." https://arxiv.org/abs//2410.17194 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podca…
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Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
18:06
18:06
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18:06
This paper explores how Knowledge Editing algorithms can unintentionally distort model representations, leading to decreased factual recall and reasoning abilities, a phenomenon termed "representation shattering." https://arxiv.org/abs//2410.17194 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podca…
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The Scientist Researching Morphic Fields | Rupert Sheldrake
1:58:30
1:58:30
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1:58:30
In today's episode, biologist Rupert Sheldrake, a former research fellow at Cambridge University with a PhD in biochemistry, explores the concepts of morphic resonance, the extended mind, and telepathy, challenging mainstream scientific paradigms. Sheldrake discusses how memory and habits may exist beyond the brain, proposing that our consciousness…
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The paper proposes GenRM, a hybrid approach combining RLHF and RLAIF, improving synthetic preference labels' quality and outperforming existing models in both in-distribution and out-of-distribution tasks. https://arxiv.org/abs//2410.12832 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…
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The paper proposes GenRM, a hybrid approach combining RLHF and RLAIF, improving synthetic preference labels' quality and outperforming existing models in both in-distribution and out-of-distribution tasks. https://arxiv.org/abs//2410.12832 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: htt…
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[QA] Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
8:07
8:07
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8:07
This paper presents an AI agent for error resolution in computational notebooks, enhancing bug-fixing capabilities while evaluating user experience and collaboration within the JetBrains Datalore service. https://arxiv.org/abs//2410.14393 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: http…
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Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
10:28
10:28
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10:28
This paper presents an AI agent for error resolution in computational notebooks, enhancing bug-fixing capabilities while evaluating user experience and collaboration within the JetBrains Datalore service. https://arxiv.org/abs//2410.14393 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: http…
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[QA] Decomposing The Dark Matter of Sparse Autoencoders
7:58
7:58
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7:58
This study explores "dark matter" in sparse autoencoders, revealing that much unexplained variance can be predicted and proposing methods to reduce nonlinear error in model activations. https://arxiv.org/abs//2410.14670 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.…
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Decomposing The Dark Matter of Sparse Autoencoders
15:36
15:36
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15:36
This study explores "dark matter" in sparse autoencoders, revealing that much unexplained variance can be predicted and proposing methods to reduce nonlinear error in model activations. https://arxiv.org/abs//2410.14670 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.…
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Episode #110 Kayce Laine's Healing Journey: From Indie Electro-Pop to Sound Healer – Embracing Crystal Bowls, Reiki Practices, and Transformative Career Paths
46:36
46:36
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46:36
Kayce Laine, a passionate sound, crystal, and Reiki practitioner, joins us on a captivating journey from the vibrant indie electro-pop scene of New York City to the soulful healing world of Nashville, Tennessee. Her transition from music to healing, catalyzed by a demanding day job, is a testament to the power of following one's heart. Casey’s love…
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[QA] A Hitchhiker's Guide to Scaling Law Estimation
10:08
10:08
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10:08
The paper analyzes scaling laws in machine learning, providing best practices for estimating model performance using a large dataset of pretrained models and emphasizing the importance of intermediate training checkpoints. https://arxiv.org/abs//2410.11840 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Ap…
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A Hitchhiker's Guide to Scaling Law Estimation
17:28
17:28
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17:28
The paper analyzes scaling laws in machine learning, providing best practices for estimating model performance using a large dataset of pretrained models and emphasizing the importance of intermediate training checkpoints. https://arxiv.org/abs//2410.11840 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Ap…
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[QA] Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
7:39
7:39
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7:39
This paper presents a novel method for image inversion and editing using rectified flow models, achieving superior performance in zero-shot tasks compared to existing diffusion model approaches. https://arxiv.org/abs//2410.10792 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcas…
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Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
10:29
10:29
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10:29
This paper presents a novel method for image inversion and editing using rectified flow models, achieving superior performance in zero-shot tasks compared to existing diffusion model approaches. https://arxiv.org/abs//2410.10792 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcas…
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