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Tagged “Machine Learning”
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Unpacking DeepSeek: AI Innovations, Hardware, and Geopolitics
This podcast explores the technical and geopolitical implications of DeepSeek's recent AI breakthroughs, specifically models V3 and R1. The experts break down how innovations like Mixture of Experts and Multi-Head Latent Attention allowed …
5h 16m -
Anthropic: Scaling Laws, Interpretability, and Claude
This episode explores the core pillars of Anthropic's approach to AI, featuring CEO Dario Amadei, researcher Amanda Askell, and safety pioneer Chris Ola. The discussion centers on the scaling hypothesis—the idea that intelligence emerges f…
5h 22m -
Perplexity CEO: AI Search, LLMs, and Truth
In this episode, Aravind Srinivas, CEO of Perplexity, explains the technical and philosophical vision behind his AI-powered search tool. He recounts how the company transitioned from early experimental Twitter search bots to a comprehensiv…
3h 11m -
Yann LeCun: AI, World Models, and the Future of AGI
Yann LeCun argues that current autoregressive LLMs are limited by their focus on text and their inability to model the physical world. He advocates for moving away from generative AI toward Joint Embedding Predictive Architectures (JEPA), …
2h 54m -
Chris Lattner: Mojo, AI Infrastructure, and Programming
Chris Lattner sits down to discuss the development of Mojo, an AI-focused programming language that extends Python with the performance capabilities of C++. By creating a platform that integrates seamlessly with existing Python ecosystems …
3h 38m -
The Risks of AGI: Intelligence, Alignment, and Existential Threat
Eliezer Yudkowsky offers a sobering analysis of the existential threats posed by AGI, focusing on the insurmountable difficulty of the alignment problem. He argues that modern AI, trained through techniques like gradient descent on massive…
3h 22m -
Mastering Strategy: From Poker to Diplomacy AI
Noam Brown, a leading research scientist at Meta AI, discusses his pioneering work in developing systems that achieve superhuman performance in complex games. The episode covers his journey from creating poker-playing AIs like Libratus and…
2h 33m -
Guido van Rossum: Python Creator on Performance and Design
In this episode, Guido van Rossum, the creator of Python, discusses the evolution of his language, the importance of code readability as a social endeavor, and the massive performance improvements in Python 3.11. He explains the shift towa…
3h 22m -
Jan LeCun: Self-Supervised Learning & Future of AI
Jan LeCun explores the critical role of self-supervised learning as the foundation for AGI. By moving beyond labeled data and reinforcement learning, AI can learn to build world models, gaining common sense through observation. The episode…
2h 51m -
Autonomous Trucking, Robotics, and the Future of AI with Boris Soffman
This episode features a deep dive into the evolution of robotics with Boris Soffman. Boris reflects on his time as the CEO of Anki, explaining the brilliance of the social robot Cosmo, which successfully captured emotional resonance throug…
3h 20m -
Evolutionary AI: Computation, Biology, and Intelligence
Computer scientist Risto Miikkulainen explores the profound synergy between biology and evolutionary computation. By simulating nature's strategies—variation, selection, and the runaway evolution of complexity—we can build intelligent agen…
2h 02m -
Richard Craib: How AI and Distributism Redefine Finance
In this insightful conversation, Richard Craib, founder of the crowdsourced hedge fund Numerai, explores the intersection of artificial intelligence, decentralized finance, and the power of distributed systems. The discussion highlights th…
1h 55m -
Dmitry Dolgov: Journey into the Future of Autonomous Vehicles
This episode features Dmitry Dolgov, CTO of Waymo, exploring the incredible engineering journey of creating fully autonomous vehicles. From his early roots as a young programmer in Russia to his pivotal role in the DARPA Urban Challenge an…
2h 28m -
Machine Learning, Reinforcement Learning, and AI Parody
This episode features a lively discussion with computer science professor Michael Littman on the fundamentals and future of Machine Learning and Reinforcement Learning. Littman shares his expert take on the AGI debate, arguing that existen…
2h 01m -
Charles Isbell: AI, Computing Education, and Race
In this engaging conversation, Charles Isbell, Dean of the College of Computing at Georgia Tech, provides a deep dive into the philosophy of computing education, the state of artificial intelligence, and reflections on race in America. Isb…
2h 28m -
Brain-Inspired AI and Cortical Networks with Dilip George
Dilip George explores the intersection of neuroscience and artificial intelligence, arguing that true AGI requires building models based on computational principles similar to the human brain. He critiques the over-reliance on brute-force …
2h 10m -
Computer Vision Fundamentals and Future Directions with Jitendra Malik
In this engaging discussion, Jitendra Malik, a pillar of computer vision research, explores why traditional AI approaches often misunderstand the core challenges of vision. By drawing parallels to child development, he argues against the r…
1h 42m -
David Patterson: Computer Architecture and RISC-V
In this episode, computer science pioneer David Patterson explores the history and future of computer architecture. He details the influential shift from complex instruction sets (CISC) to the more efficient reduced instruction set (RISC),…
1h 50m -
Understanding the Brain and the Free Energy Principle
In this enlightening conversation, neuroscientist Carl Friston explores the fundamental nature of the human brain and his revolutionary Free Energy Principle. He explains that the brain is not a chaotic mess but a highly structured, hierar…
1h 29m -
Security, AI, and the Future of Data Ownership with Dawn Song
In this extensive discussion with Dawn Song, the conversation flows through the current state of cybersecurity and the emerging vulnerabilities within artificial intelligence. Song explains the transition of security threats from software …
2h 13m -
Ilya Sutskever: Deep Learning and the Future of AI
In this extensive conversation, Ilya Sutskever discusses the transformative journey of deep learning from its early, underestimated days to its current state of radical success. He explores the empirical necessity of combining massive comp…
1h 37m -
Daphne Koller: AI, Machine Learning, and Drug Discovery
Daphne Koller provides an insightful look into how advanced machine learning is reshaping the future of biomedicine and drug discovery. By shifting the focus from flawed animal test models to nuanced, human-derived disease-in-a-dish system…
1h 12m -
Unlocking Human-Level AI with David Silver
This episode features David Silver, a pioneering force at DeepMind, discussing the profound journey of mastering complex games through reinforcement learning. The core narrative follows the evolution from AlphaGo to the generalized, superh…
1h 48m -
John Hopfield: Biology, Physics, and Neural Networks
Professor John Hopfield explores the deep connections between theoretical physics, neurobiology, and artificial intelligence. He explains his pioneering work on associative memory networks and argues that biology employs complex, emergent …
1h 13m -
Machine Learning, Markets, and the Future of AI with Michael I. Jordan
In this deep, thoughtful conversation, Michael I. Jordan redefines the ambition behind artificial intelligence, positioning it as an emerging, human-centric engineering field rather than a quest for machine consciousness. He critiques the …
1h 46m
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