results in episodes
How often this search term appears across the program's history.
Tagged “Neural Networks”
-
Demis Hassabis: AI, Emergent Intelligence, and Reality
Demis Hassabis, leader of Google DeepMind and Nobel laureate, explores the profound intersection of artificial intelligence, physics, and the fundamental nature of reality. He presents the conjecture that nature's evolved complexity is inh…
2h 34m -
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 -
Andrej Karpathy: AI, Neural Networks, and the Future
Andrej Karpathy offers a profound exploration into the technical and philosophical facets of modern artificial intelligence. He deconstructs neural networks as simple mathematical abstractions that paradoxically yield emergent intelligence…
3h 33m -
Jim Keller: The Future of Computing and Artificial Intelligence
In this extensive conversation, legendary microprocessor architect Jim Keller explores the philosophy of hardware engineering, the evolution of computing, and the path to building Artificial General Intelligence. Keller provides a unique p…
2h 44m -
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 -
George Hotz: Autonomous Driving, Hacking, and AI
This episode explores the brilliant and unconventional mind of George Hotz, founder of Kama AI. The discussion covers a diverse array of topics including his pioneering work in autonomous driving, the potential for artificial general intel…
3h 13m -
François Chollet: On the Measure of Intelligence
François Chollet, a renowned engineer and philosopher in the field of artificial intelligence, explores the definitions and measurements of human and artificial intelligence. He critically examines the contemporary reliance on large-scale …
2h 34m -
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 -
Vladimir Vapnik: Predicates, Intelligence & Plato
In this episode, computer scientist Vladimir Vapnik shares his profound vision for the future of artificial intelligence. Moving beyond current deep learning trends, he argues that the essence of intelligence lies in discovering a small, u…
1h 45m -
Noam Chomsky: Language, Cognition, and Human Potential
In this deep exploration of human cognition, Noam Chomsky explains that language is a core biological faculty centered on internal thought and structure dependence rather than mere external communication. He posits that human intellect is …
36m 10s -
Gary Marcus: The Limits of Deep Learning and AI Future
Gary Marcus argues that while Deep Learning is effective for narrow tasks, it lacks the abstract reasoning required for true artificial general intelligence. He highlights the failure of modern AI to grasp common sense, causality, and phys…
1h 25m -
François Chollet: Keras, AGI, and the Future of AI
François Chollet, the creator of Keras and a world-class AI researcher, provides a thought-provoking analysis of the current AI landscape, critiquing the widely held theory of the intelligence explosion. He argues that intelligence is inhe…
56m 57s -
Jan LeCun: Deep Learning, Reasoning, and the Future of AI
Jan LeCun, a pioneer of deep learning, discusses the fundamental principles of building intelligent machines. He argues that intelligence is inseparable from learning and that current neural network architectures, while powerful, need to e…
1h 16m -
Deep Learning and the Future of AI with Oriol Vinales
In this insightful conversation, Google DeepMind research scientist Oriol Vinales explores the intersection of deep learning and human-competitive gaming. The episode provides a comprehensive look at the architecture of AlphaStar, the AI t…
1h 46m -
Deep Learning and GANs: Expert Insights with Ian Goodfellow
In this insightful conversation, Ian Goodfellow, the inventor of Generative Adversarial Networks (GANs), discusses the foundational concepts and future of deep learning. He redefines deep learning as a sophisticated, multi-step program rat…
1h 08m -
Elon Musk on Autopilot, AI, and Future Autonomy
In this extensive discussion, Elon Musk shares his vision for the future of transportation, where Tesla's Autopilot serves as the foundation for a transition to full autonomy. Musk emphasizes that the collection of massive amounts of real-…
32m 58s -
Yoshua Bengio on the Future of Deep Learning and AI
In this engaging episode, Yoshua Bengio discusses the limitations of current deep learning architectures, emphasizing that simple scaling is insufficient for human-level artificial intelligence. He argues for a shift towards active agents …
42m 54s -
Max Tegmark: AGI, Consciousness, and Cosmic Intelligence
In this expansive conversation, Lex Fridman and physicist Max Tegmark analyze the frontiers of artificial intelligence and the future of human civilization. The discussion traverses the technical and philosophical boundaries of AGI, explor…
1h 22m
No results. Try different keywords.