Eye On A.I‪.‬ Craig S. Smith

This episode is sponsored by 1Password. 1Password combines industry-leading security with award-winning design to bring private, secure, and user-friendly password management to everyone. Companies lose hours every day just from employees forgetting and resetting passwords. A single data breach costs millions of dollars. 1Password secures every sign-in to save you time and money.

Right now, my listeners get a free 2-week trial at: www.1password.com/eyeonai
 
Dive into the world of autonomous driving with Dragomir Anguelov, Vice President, Head of Research at Waymo, in this captivating episode of Eye on AI.
Drago offers a profound exploration into the technical and operational advancements driving the future of autonomous vehicles. With his rich background at Google and now at Waymo, Drago provides an insider’s view on the evolution of machine learning technologies and their pivotal role in developing self-driving cars that are not only intelligent but also safe and reliable.
This conversation spans the inception of large neural networks for image understanding to the intricate deployment of robotaxis in urban environments. Drago details the challenges of scaling these complex systems across different cities and the breakthroughs that have made autonomous driving a tangible reality in places like Phoenix and San Francisco.
Drago’s insights are invaluable for anyone interested in the convergence of AI, robotics, and transportation.
If you are fascinated by the advancements being made in the autonomous driving space and how they could transform our daily lives, make sure to hit the like button and subscribe for more deep dives into the technologies shaping our future.
 
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more. 



Venture into the future of AI with Nick Bostrom, a philosopher at the University of Oxford known for his work on existential risk, the anthropic principle, human enhancement ethics, whole brain emulation, superintelligence risks, and the reversal test.
On episode #181 of Eye on AI, Nick Bostrom, explores the existential and societal implications of AI reaching and surpassing human capabilities. As we contemplate a world where all tasks are performed by AI, Nick discusses the potential for a 'technologically solved' society and its impact on human purpose and motivation.
Join us as Nick provides insights into his latest book, "Deep Utopia," where he questions how humans will find meaning when artificial intelligence handles every aspect of labor and creativity. He elaborates on the risks, ethical considerations, and philosophical dilemmas we face as AI continues to evolve at an unprecedented pace.
This episode is an essential exploration of the shifts AI may bring to our societal structures, labour markets, and individual lives. 
If you find yourself intrigued by the philosophical journey into AI's potential to redefine humanity, hit the like button and subscribe for more thoughtful discussions on the future landscapes shaped by artificial intelligence.



Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
 
(00:00) Introduction and the Concept of a 'Solved World'
(03:05) Nick Bostrom's Background
(06:06) Exploring the Anthropomorphism in Modern AI
(08:02) Predictions and the 'Hockey Stick' Graph
(10:13) AI Safety and Public Perception
(12:58) Deep Utopia and the Search for Meaning
(15:46) Life in a Technologically Mature World
(18:17) Existential Malaise in Modern Society
(20:43) The Potential of Technological Maturity
(23:51) Philosophical Implications of a Solved World
(28:20) Engineering Happiness and Neurological Adjustments
(32:18) Remaining Human Tasks and Cultural Values
(35:45) The Future of Humanity
(47:03) Closing Remarks and Sponsor Message

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

Explore the journey of AI within the technology industry with Thomas Lah in episode #180 of Eye on AI.
This dialogue features Thomas Lah, Executive Director of the Technology and Services Industry Association (TSIA), as he delves into the influence of AI on technology companies and their operating models.
In this episode, Thomas offers a compelling narrative on how AI is being integrated into the fabric of technology businesses, altering the landscape of innovation and competition. Discover the intricacies of AI adoption strategies, the challenges of data management, and the evolution of business models in response to AI advancements. From Microsoft to Salesforce, uncover how leading tech giants are harnessing AI to redefine efficiency, creativity, and growth.
Dive deep into the core of TSIA's research, unveiling the pivotal role of benchmarking and operational research in navigating the AI revolution. Thomas sheds light on the actionable insights and best practices that are guiding technology companies through this era of rapid technological change.
Whether you're intrigued by the operational shifts AI is catalyzing in the tech sector, or you're keen on understanding the future directions of AI-driven business models, this episode is a treasure trove of knowledge.
Remember to give us a thumbs up on YouTube if this deep dive into the AI transformation within tech companies enriches your understanding. 
Subscribe for more insights into how AI is sculpting the technological landscapes of tomorrow.

Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Preview and Introduction 
(01:19) AI’s Impact on Tech Companies' Internal Processes
(04:22) Thomas Lah’s Background and Contributions to Tech Services
(07:49) Future Trends: AI Agents and Physical World Actions
(10:12) Real-World AI Use Cases and ROI in Tech Companies
(13:44) The Rapid Maturation of AI Tools and Its Impact
(16:48) The Right Timing for AI Adoption and Investment
(20:09) AI Advantaged vs. Severely Lagged Tech Companies
(25:31) Addressing the Consumption Gap with AI in Education
(32:17) AI in Operations
(38:35) The Evolution of AI Agents and Co-Pilots in Tech Services
(45:12) Centralizing and Rationalizing Data for AI Readiness
(48:31) Cultural and Technical Shifts Required for AI Integration
(51:06) AI's Impact on Business Models and Headcount Reductions

Dive into the heart of the AI race between the US and China with Craig Smith in episode #179 of Eye on AI. 
This discussion features Ylli Bajraktari, the President and CEO of the Special Competitive Studies Project, as he unveils the strategic maneuvers and policies shaping the future of artificial intelligence on a global scale.
In this episode, Ylli provides an in-depth analysis of the current state of AI development and competition, illuminating the actions taken by both superpowers to secure their position at the forefront of technological advancement. From the pivotal CHIPS Act to the formation of national AI champions, learn how these initiatives are influencing the global AI landscape.
Uncover the essence of the Special Competitive Studies Project and its mission to ensure the US retains its edge in AI through a comprehensive, nation-wide approach. Ylli discusses the critical importance of AI in national security, the transformative potential of the OffsetX strategy, and the implications of the National Plan for Microelectronics.
Whether you're fascinated by the strategic dynamics of international technology competition or passionate about the impact of AI on society and security, this episode offers invaluable insights into the challenges and opportunities ahead.
Don't forget to rate us on Apple Podcast and Spotify if you're inspired by the strategic discourse on AI's role in shaping the future.
 
This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you’re selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.
Sign up for a $1 per month trial period at http://shopify.com/eyeonai
 
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI



(00:00) Preview
(00:46) Introducing Ylli Bajraktari
(04:21) Origins of the Special Competitive Studies Project
(09:14) Influence of National Security Commission on AI
(14:05) What is the OffsetX Strategy
(15:42) US vs. China: The AI Competition Landscape
(19:00) Post-Gen AI Period and Its Impact
(21:03) The Future of AI Research
(24:41) Reorganizing Government Institutions for the AI Era
(32:48) Understanding Lethal Autonomous Weapon Systems
(35:05) The Concept of Counter-Autonomy
(39:04) Addressing the Threat from China’s Semiconductor Strategy
(44:54) Preview of the Special Competitive Studies Project's AI Expo
 

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



Join host Craig Smith in episode #178 of Eye on AI for an enlightening conversation with Terry Sejnowski, President of the NeurIPS Foundation and is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory 
In this episode, Terry shares his unique insights into the evolution of neural networks, the monumental impact of models like GPT-4, and the intricate relationship between AI technologies and societal norms. Learn about the future trajectory of AI development, as Terry highlights the importance of integrating human brain development aspects into AI to foster models that better understand and integrate into human culture.
Discover Terry's perspective on the role of reinforcement learning in AI, the challenges of aligning AI with ethical considerations, and the potential of neuromorphic engineering to revolutionize energy-efficient computing. This discussion also touches on the implications of AI in reshaping industries, science, and the global workforce.
An essential listen for those fascinated by the ethical dimensions of AI, the potential of neuroscience to inform AI development, and the broader societal impacts of technological advancement. 
If you're drawn to the complexities of AI and its potential to redefine our future, don't forget to rate us on Apple Podcast and Spotify.



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 
(01:54) Bridging Computational Neuroscience with AI Development
(05:24) Biological Principles in AI: Learning and Adaptation
(07:07) The Crucial Role of Reinforcement Learning in AI
(10:12) Breakthroughs in AI: Scaling Models and Language Processing
(13:38) The Rapid Pace of AI Evolution: Implications and "AI Time"
(16:58) Ethical Considerations and AI Alignment Challenges
(20:23) Neuromorphic Engineering and Energy Efficiency
(25:42) Real-world Applications: AI's Expanding Role in Society
(29:04) The Developmental Approach: Training AI with Human Nuances
(33:32) The Impact of AI on Science and Discovery
(40:19) AI Education and Lifelong Learning: Overcoming Barriers
(43:20) MOOCs and the Democratization of Learning in the AI Era
(47:08) Balancing Innovation and Safety in the Accelerating AI Landscape
 

Join host Craig Smith on episode #177 of Eye on AI as he explores the cutting-edge world of generative models in artificial intelligence with Björn Ommer, a visionary AI researcher and Head of Computer Vision & Learning Group at Ludwig Maximilian University of Munic.
 
In this episode, Björn delves into the fascinating inner workings of diffusion models, shedding light on the pivotal role these models play in advancing technology and society. Discover the groundbreaking development of stable diffusion, a key innovation by Bjorn's team that is setting new standards in the democratization of AI technology.
 
Learn about the challenges and solutions in making AI accessible on consumer hardware, ensuring that the power of generative AI is not confined to well-funded organizations but available to all. Bjorn shares his expert insights on the balance between open-source innovation and proprietary development, emphasizing the societal implications of generative AI.
 
This episode is an essential listen for anyone intrigued by the potential of AI to transform our understanding of the visual world, the importance of accessibility in technology, and the future of AI development.
 
If you're captivated by the evolution of AI and the profound impact of generative models like stable diffusion, don't forget to rate us on Apple Podcast and Spotify. 



Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI



(00:00) Preview and Introduction
(01:38) Bjorn Omer's Journey into AI
(03:03) The Evolution of AI Before Deep Learning
(06:38) Democratizing AI with Stable Diffusion
(09:45) Explaining Diffusion Models
(13:40) Challenges of AI on Consumer Hardware
(17:05) The Binding Problem in Vision Research
(22:27) Mechanisms in Stable Diffusion: Attention and Diffusion Processes
(26:09) Open Source vs. Proprietary AI Models
(30:16) Making Compute Resources More Accessible
(34:30) Reducing Compute Requirements in AI Models
(38:52) The Concept of World Models in AI Research
(41:50) The Future of AI and the Fallacy of Scaling