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,today i found out,tifovidz12,tifo,awesome,facts,didn't know,saving jewish lives,heroes saving jewish lives from the nazis,jewish,history,interesting,nazis,5IjxikfKgeU,UC64UiPJwM_e9AqAd7RiD7JA, Politics,Society, channel_UC64UiPJwM_e9AqAd7RiD7JA, video_5IjxikfKgeU,Discover the astonishing story of how a Nazi officer was tasked with rescuing a Jewish leader during WWII—a remarkable tale of courage, contradictions, and faith amidst unimaginable horrors.
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,today i found out,tifovidz12,tifo,awesome,facts,didn't know,squirrel cage jail,ciiKNHXbcUU,UC64UiPJwM_e9AqAd7RiD7JA, Knowledge, channel_UC64UiPJwM_e9AqAd7RiD7JA, video_ciiKNHXbcUU,👟 Step into waterproof comfort with Vessi’s Black Friday Sale! Stay dry in style with Vessi at https://www.vessi.com. Don’t wait—grab yours before they’re gone!
The pen. The clink. The slammer. The joint. The cooler. The nick. The big house. The hoosegow. Whatever you call it, it is the place most of us dread ending up: prison. A central pillar of our modern justice system, prisons loom large in the popular imagination, inspiring whole genres of literature, music, and film; and even entire schools of philosophical thought. They are entire insular worlds unto themselves, potent symbols for the nature of freedom, justice, and humanity itself. But more than just institutions or buildings, prisons are also a form of technology, whose function is to contain, control, and - hopefully - reform and rehabilitate large numbers of people as efficiently as possible. As a result, over the past two centuries prison design has seen plenty of innovation, ranging from the practical to the ingenious to the downright bizarre. And few prison designs were stranger than an 1880s contraption that enclosed its prisoners in what can only be described as a giant rotating squirrel cage. While several of these innovative structures were constructed across the midwestern United States, they proved impractical and reliable, and became but a minor yet fascinating footnote in the history of criminal justice. This is the strange tale of the rotary jail.
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Author: Gilles Messier
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Producer: Samuel Avila
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,1,In the video today we're looking at how the Ancient Romans made incredibly long, perfectly straight and incredibly durable roads, what it was like being a slave in ancient rome, how they made concrete better than ours, were they really as wild as we sometimes think today or more prudes, did gladiators really live or die based on thumbs up or thumbs down by the audience, that time a farmer was given ultimate power twice and changed the world by walking away both times after he'd done what Rome asked of him, what really happened on the ides of march, and the chickens that shaped world history.
Host: Simon Whistler
Producer: Pacience Hiskey
0:00 How Did the Ancient Romans Manage to Build Perfectly Straight, Ultra Durable Roads?
17:35 What was It Really Like to Be a Slave in Ancient Rome?
31:14 How Did the Ancient Romans Make Concrete So Much Better Than Ours?
41:42 Were the Ancient Romans Really Wildly Debauched or Actually Prudes
53:45 Did Gladiators Really Live or Die Based on Thumbs Up or Thumbs Down by the Audience?
1:04:24 That Time a Farmer was Given Ultimate Power Twice and Changed the World By Walking Away Both
1:14:55 Fact From Fiction: What Really Happened on the Ides of March?
1:37:03 The Chickens That Decided Ancient Rome’s Major Events and Shaped World History
,1,Dive into the absurd history of the CIA's failed plots to assassinate Fidel Castro, featuring exploding seashells, poisoned cigars, and more. Discover how the bearded leader outwitted them all!
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,1,Watch Full Podcast Here: https://youtu.be/HzgFE8XIVZY
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Listen to the Show on all Podcast Apps "Club Random with Bill Maher" https://podcasts.apple.com/us/podcast/club-random-with-bill-maher/id1613459129
EARLY RELEASE!!! HAPPY NEW YEAR! The great SETH MacFARLANE and Bill discuss the hilarious Norah Jones moment in Seth’s movie, Bill’s article on Seth in Vanity Fair, David Mamet’s gift for Bill, Bill’s childhood snobbiness about animation, Seth’s favorite Superman joke, Seth being compared to Jay Gatsby, when Seth saw Bill’s appearance on the TV show Alice, the time Bill got booed at a Dodger game, how animated characters get away with more, why the guys slowed down Tweeting, the good and the bad of A.I., the time Seth and Bill sang to Jay Leno, and so much more.
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,1,A Google Algorithms Seminar TechTalk, presented by Ziming Liu, 2024-06-04
ABSTRACT: Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation functions on nodes ("neurons"), KANs have learnable activation functions on edges ("weights"). KANs have no linear weights at all -- every weight parameter is replaced by a univariate function parametrized as a spline. We show that this seemingly simple change makes KANs outperform MLPs in terms of accuracy and interpretability. For accuracy, much smaller KANs can achieve comparable or better accuracy than much larger MLPs in data fitting and PDE solving. Theoretically and empirically, KANs possess faster neural scaling laws than MLPs. For interpretability, KANs can be intuitively visualized and can easily interact with human users. Through two examples in mathematics and physics, KANs are shown to be useful collaborators helping scientists (re)discover mathematical and physical laws. In summary, KANs are promising alternatives for MLPs, opening opportunities for further improving today's deep learning models which rely heavily on MLPs.
ABOUT THE SPEAKER: Ziming Liu is a fourth-year PhD student at MIT & IAIFI, advised by Prof. Max Tegmark. His research interests lie in the intersection of AI and physics (science in general):
Physics of AI: “AI as simple as physics”
Physics for AI: “AI as natural as physics”
AI for physics: “AI as powerful as physicists”
He publishes papers both in top physics journals and AI conferences. He serves as a reviewer for Physcial Reviews, NeurIPS, ICLR, IEEE, etc. He co-organized the AI4Science workshops. His research have strong interdisciplinary nature, e.g., Kolmogorov-Arnold networks (Math for AI), Poisson Flow Generative Models (Physics for AI), Brain-inspired modular training (Neuroscience for AI), understanding Grokking (physics of AI), conservation laws and symmetries (AI for physics).
,1,This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
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In episode #159 of Eye on AI, Craig Smith sits down with Peter Chen, the co-founder and CEO of Covariant, in a deep dive into the world of AI-driven robotics.
Peter shares his journey from his early days in China to his pivotal role in shaping the future of AI at Covariant. He discusses the philosophies that guided his work at OpenAI and how these have influenced Covariant's mission in robotics.
This episode unveils how Covariant is harnessing AI to build foundational models for robotics, discussing the intersection of reinforcement learning, generative models, and the broader implications for the field. Peter elaborates on the challenges and breakthroughs in developing AI agents that can operate in dynamic, real-world environments, providing insights into the future of robotics and AI integration.
Join us for this insightful conversation, where Peter Chen maps out the evolving landscape of AI in robotics, shedding light on how Covariant is pushing the boundaries of what's possible.
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(00:00) Preview and Introduction
(03:10) Peter Chen Journey in AI
(09:53) The Evolution of Generative AI and Transformer Models
(12:21) The Concept of World Models in AI
(14:03) Building Robust Role Models in AI
(20:48) Training AI: From Video Analysis to Real-World Interaction
(23:10) The Three Pillars of Building a Robotic Foundation Model
(27:36) Architectural Insights of Covariant's Foundation Model
(33:20) Adapting AI Models to Diverse Hardware
(35:01) The Future of Robotics: Progress and Potential
(38:55) Real-World Application and Future of AI-Controlled Robots
(42:11) Envisioning the Future of Automated Warehouses
(45:51) The Evolution of Robotics: Current Trends and Future Prospects
