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.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
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.
Stay updated:
Craig Smith's Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(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
,Terry Sejnowski,Future of AI,ChatGPT explained,AI creativity,AI sentience,Neural networks,Generative AI,AI language models,Artificial intelligence,Deep learning,AI vs human intelligence,AI limitations,Nature inspired AI,Computational neuroscience,AI and creativity,Large language models,Machine learning insights,AI job transformation,Understanding AI,Evolution of AI,33jwuF8KeP0,UC-o9u9QL4zXzBwjvT1gmzNg, Knowledge, channel_UC-o9u9QL4zXzBwjvT1gmzNg, video_33jwuF8KeP0,This episode of Eye on AI is sponsored by Citrusx.
Unlock reliable AI with Citrusx! Our platform simplifies validation and risk management, empowering you to make smarter decisions and stay compliant. Detects and mitigate AI vulnerabilities, biases, and errors with ease.
Visit http://email.citrusx.ai/eyeonai to download our free fairness use case and see the solution in action.
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In this episode of the Eye on AI podcast, Terry Sejnowski, a pioneer in neural networks and computational neuroscience, joins Craig Smith to discuss the future of AI, the evolution of ChatGPT, and the challenges of understanding intelligence.
Terry, a key figure in the deep learning revolution, shares insights into how neural networks laid the foundation for modern AI, including ChatGPT’s groundbreaking generative capabilities. From its ability to mimic human-like creativity to its limitations in true understanding, we explore what makes ChatGPT remarkable and what it still lacks compared to human cognition.
We also dive into fascinating topics like the debate over AI sentience, the concept of "hallucinations" in AI models, and how language models like ChatGPT act as mirrors reflecting user input rather than possessing intrinsic intelligence. Terry explains how understanding language and meaning in AI remains one of the field’s greatest challenges.
Additionally, Terry shares his perspective on nature-inspired AI and what it will take to develop systems that go beyond prediction to exhibit true autonomy and decision-making.
Learn why AI models like ChatGPT are revolutionary yet incomplete, how generative AI might redefine creativity, and what the future holds for AI as we continue to push its boundaries.
Don’t miss this deep dive into the fascinating world of AI with Terry Sejnowski. Like, subscribe, and hit the notification bell for more cutting-edge AI insights!
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
—--------------—--------------—--------------—--------------—--------------—--------------—--------------
(00:00) Introduction to Terry Sejnowski and His Work
(03:02) The Origins of Modern AI and Neural Networks
(05:29) The Deep Learning Revolution and ImageNet
(07:11) Understanding ChatGPT and Generative AI
(12:34) Exploring AI Creativity
(16:03) Lessons from Gaming AI: AlphaGo and Backgammon
(18:37) Early Insights into AI’s Affinity for Language
(24:48) Syntax vs. Semantics: The Purpose of Language
(30:00) How Written Language Transformed AI Training
(35:10) Can AI Become Sentient?
(41:37) AI Agents and the Next Frontier in Automation
(45:43) Nature-Inspired AI: Lessons from Biology
(50:02) Digital vs. Biological Computation: Key Differences
(54:29) Will AI Replace Jobs?
(57:07) The Future of AI
,1,In this episode of the Eye on AI podcast, join host Craig Smith as he engages with Russell Palmer, CEO & Co-Founder at CyberFilm AI.
Russell delves into the transformative journey of integrating AI with storytelling, emphasizing the role of strong narratives in creating impactful AI films. He shares his extensive background, from his early days at Microsoft and JP Morgan to co-founding a startup with his brother that pioneers AI tools for the film industry.
Explore how their innovative app supports writers and filmmakers by offering structured templates, AI-generated plot ideas, character arcs, and storyboards. Discover the startup's mission to democratize filmmaking, making high-quality tools accessible to film students, hobbyists, and professionals alike.
Russell discusses the future of AI in filmmaking, highlighting the potential for AI to enhance creativity, support diverse storytelling, and bridge the gap between aspiring creators and Hollywood-level productions. Learn about their plans to expand features, including video generation and script analysis, while maintaining ethical AI use and respecting intellectual property.
Join us for an insightful conversation on how AI is shaping the future of storytelling and filmmaking, and gain valuable perspectives on navigating this evolving landscape.
Tune in to learn how AI can empower you to create compelling stories and films.
Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.
,1,Explore how Sora is disrupting Hollywood with cutting-edge technology and innovative strategies. Learn about the groundbreaking changes Sora is bringing to the entertainment industry, transforming production, distribution, and audience engagement. Discover the future of Hollywood with Sora's disruptive influence
,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.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
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.
Stay updated:
Craig Smith's Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(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
