Eye On A.I.

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 this episode of the Eye on AI podcast, join us as we dive into the realm of AI quality assurance with Mohamed Elgendy, CEO and co-founder of Kolena. Discover the intricacies of ensuring robust AI performance as Mohamed shares his journey from a software engineer to leading an AI quality platform. Kolena is setting new standards in AI testing, addressing the non-deterministic nature of machine learning models with a systematic framework for validation. The conversation navigates the challenges of AI testing, the importance of structured quality assurance, and the collaboration with industry bodies to shape the future of AI standards. Mohamed elaborates on Kolena's innovative approach to both human and automated evaluations, providing comprehensive testing solutions tailored to diverse customer needs. We also explore real-world use cases and the platform's future plans to make AI testing more accessible and reliable. Mohamed's insights illuminate the path toward achieving high-quality AI systems, ensuring they perform as intended across various applications. Tune in to understand the advancements propelling AI quality forward and how Kolena is pioneering the way in this crucial aspect of AI development. Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution. 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

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: https://www.1password.com/eyeonai In this episode of Eye on AI, join us as we explore the cutting-edge world of GPU optimization with Ronen Dar, CTO and co-founder of Run:ai. Delve into the intricacies of managing and maximizing GPU utilization in an era marked by a severe GPU shortage. Ronen shares his insights on how Run:ai's innovative software is revolutionizing AI infrastructure, making GPU resources more efficient and accessible. The conversation spans the technical challenges of scaling AI models, the evolution of GPU demands from basic algorithms to complex systems like GPT-4, and the strategic innovations helping enterprises overcome these hurdles. Ronen also reflects on the future of AI development, predicting an exponential increase in demand for computational power and the innovative solutions poised to meet these needs. Tune in to uncover the technological advancements that are propelling AI capabilities forward and shaping the future of AI deployment across industries. Don't forget to like, subscribe, and hit the notification bell for more deep dives into the technologies that are transforming our digital landscape. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview (02:46) Introducing Ronen Dar (04:00) Ronen's background and RunAI's origins (09:13) The need for efficient GPU utilization in AI (13:14) RunAI's core value proposition (15:33 RunAI's deployment model (18:55) The growing demand for compute power and GPUs (22:08) Challenges in scaling models beyond 70 billion parameters (27:52) RunAI's open platform approach (31:00) Addressing latency and throughput challenges in inference (34:36) RunAI's integration with AI tools and frameworks (39:37) Reducing the cost of inference with GPU virtualization (43:54) Challenges in auto-scaling for large language models (47:06) The future of the GPU market and demand (50:49) NVIDIA's dominance and the role of competitors like Cerebras (54:20) RunAI's global customer base and demand patterns (57:52) NVIDIA's vision and the evolution of GPU architectures (01:01:25) Compute requirements for the metaverse and future AI applications (01:03:56) Concerns about power consumption and carbon footprint

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. Unlock the secrets of clinical trial predictions with Saurabh Jain and Damon Rasheed from Opyl & TrialKey.ai on this episode of Eye on AI. In today's discussion, delve into how TrialKey's pioneering AI model can predict the success of clinical trials with astonishing accuracy—about 90%. Learn about the innovative use of over 400,000 past trials to enhance the precision and efficiency of new pharmaceutical trials. Saurabh and Damon share how their technology not only predicts outcomes but also optimizes trial design, saving substantial time and resources in the drug development process. The episode also covers the sophisticated data processing techniques employed by TrialKey, including natural language processing to extract vital variables from complex datasets, and the strategic use of these insights to improve trial designs. Discover the implications of poorly designed trials and how AI can revolutionize their structure for better success rates. Tune in to gain a deeper understanding of how AI and machine learning are transforming the pharmaceutical landscape, making clinical trials more predictive and efficient. Saurabh and Damon's expertise offers a glimpse into the future of medical research and investment, emphasizing the role of AI in enhancing decision-making and resource allocation in healthcare. Remember to like, subscribe, and hit the notification bell to keep up with the latest innovations and discussions reshaping the future of artificial intelligence and healthcare. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Dive into the cutting-edge realm of neuromorphic computing with André van Schaik, a professor of electrical engineering at the Western Sydney University, and director of the International Centre for Neuromorphic Systems, in Penrith, New South Wales, Australia In this episode of Eye on AI, André unveils the capabilities of DeepSouth, an innovative brain-scaled neuromorphic computing system designed to simulate up to 100 billion neurons in real time. Discover how DeepSouth leverages spiking neurons and synapses to process information more efficiently than traditional AI models, and how this technology could transform our understanding of brain computation and unlock new AI architectures. The conversation explores the unique hardware setup of DeepSouth, utilizing FPGAs (Field-Programmable Gate Arrays) for a flexible, reconfigurable approach that mimics the asynchronous and spiking communication of biological neurons. André discusses the initial testing phase focusing on balanced excitation-inhibition networks, reflecting common neural activities in the human cortex, and outlines the system's potential to facilitate large-scale simulations previously unachievable due to computational constraints. André's insights are invaluable for anyone interested in the intersection of neuroscience, artificial intelligence, and computational technology. Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs and discussions in the world of artificial intelligence. 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 Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:19) André van Schaik's background (03:39) What is neuromorphic computing? (05:45) Differences between Von Neumann and neuromorphic architectures (09:27) How DeepSouth simulates neurons (12:20) What are FPGAs? (16:42) Current status of DeepSouth (19:04) Running neural network architectures on DeepSouth (22:33) DeepSouth as an open source, commercial hardware (24:40) Potential for cheaper model training (28:35) Number of neurons and connections in DeepSouth (30:01) Power consumption comparison (34:21) Mimicking brain structures in DeepSouth (35:42) André van Schaik's background in neuroscience (39:12) Goals of understanding brain activity vs solving problems (41:44) Interest from AI research community (43:03) Summary of DeepSouth's goals

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 Explore the world of AI development with Will Falcon, creator of PyTorch Lightning and founder of Lightning AI. In this episode of Eye on AI, Will takes us through the groundbreaking journey of Lightning Studio, a revolutionary cloud-based platform that's reshaping how AI tools and frameworks are integrated and scaled. From his unique start in the US military to leading AI innovation, Will offers a comprehensive look at the evolution of machine learning technologies that simplify and accelerate the deployment of AI models. The discussion delves into the creation of PyTorch Lightning, highlighting its role in democratizing AI development by structuring code and enabling scalability across thousands of machines. Will also outlines the pivotal shift from traditional coding practices to a streamlined, cloud-based environment, making advanced AI tools accessible to a global community of developers. Tune in as we uncover the layers of technology that drive AI forward and discuss the future of AI development platforms. Will's insights are crucial for anyone interested in the intersection of AI, software engineering, and cloud infrastructure. Make sure to hit the like button and subscribe for more insights into the technologies shaping our world. 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 Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

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

Join host Craig Smith on episode #176 of Eye on AI as he dives deep into the realm of robotic artificial intelligence with Sergey Levine, associate professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. In this episode, Sergey unveils the latest advancements in AI control of robots, exploring the implications of reinforcement learning and the concept of embodied AI. Discover how Sergey's research is pushing the boundaries of AI, enabling robots to learn manipulation skills and generalize across diverse tasks, transforming the potential of home robots and beyond. Sergey also shares insights into the RTX project, an ambitious collaboration designed to achieve remarkable generalization across different robot morphologies, enhancing robots' ability to perform language-conditioned manipulation tasks. If you're fascinated by the intersection of AI, robotics, and the quest for creating adaptable, generalizable machines that promise to revolutionize our interaction with technology, this episode is a must-listen. Remember to rate us on Apple Podcast and Spotify if this episode ignites your interest in the dynamic field of robotic AI and the visionary work of Sergey Levine. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction to Home Robots and AI in Robotics (01:43) World Models and Language Models in Robotics (04:01) The Challenge of Learning-Based Control and Data Utilization (06:05) RTX Project: Generalizing Controllers Across Different Robots (10:09) Uniformity in Model Architecture Across Labs (13:50) Introduction of RT1 and RT2 Models for Robot Control (16:06) The Future of Robotic Control Research and Architecture (18:49) The Impact of Hardware Development on Robotics (22:15) Advances in Controller and AI Model Development (26:21) Planning and Acting with Vision Language Models (31:38) The Proprietary vs. Open-Source Debate in Robotics (36:23) The Future of Commercial and Open Source Robotics Applications (40:59) The State of Robotics Research in China

Join host Craig Smith on episode #175 of Eye on AI as he engages in an enlightening conversation with Aravind Srinivas, co-founder and CEO of Perplexity AI. In this episode, Aravind delves into the intricacies of Perplexity AI, a groundbreaking conversational answer engine designed to redefine the landscape of online search. Discover how Perplexity AI aims to challenge the status quo of search engines by providing direct answers grounded in factual sources, contrasting with the traditional method of sifting through links. Learn about the challenges and breakthroughs in developing a search engine that combines the reliability of verified information with the intuitive interaction of conversational AI. Dive into the technical and philosophical nuances of building a search platform that stands to transform how we access information online. Explore the intersection of AI, entrepreneurship, and the relentless pursuit of innovation that drives the team at Perplexity AI. Remember to rate us on Apple Podcast and Spotify if this episode piques your curiosity about the evolving interface of AI and information retrieval!" Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Perplexity AI with Aravind Srinivas (02:26) Aravind Srinivas's Background (04:17) Early Influences and The Shift to Generative AI (06:30) Ideation and Entrepreneurial Leap to Start Perplexity AI (09:44) Challenges of Building a New AI-Powered Search Engine (13:53) The Journey from Idea to Market with Perplexity AI (17:34) Overcoming Technical and Market Challenges (23:44) Disrupting Traditional Search with AI Innovation (30:08) Building Perplexity's AI and Indexing Technology (37:13) The Future of Web Indexing and AI's Role (41:29) Navigating Legal and Ethical Aspects of AI Search (52:39) Concluding Thoughts and The Road Ahead for Perplexity AI

Join host Craig Smith on episode #174 of Eye on AI as he sits down with Tianmin Shu, Assistant Professor at Johns Hopkins University in both the Computer Science and Cognitive Science departments. In this episode, Tianmin unravels the fascinating concept of world models and their intersection with artificial and human intelligence. Discover how these models, rooted in cognitive science, offer a blueprint for understanding our environment and enhancing AI's ability to interpret, predict, and interact within it. Explore the intricate dance between AI and cognitive science as Tianmin shares insights from his rich academic journey from UCLA to MIT, leading to his innovative work on social aspects of AI and the development of agents capable of human-level cooperation and understanding. Dive deep into the discussion on the integration of world models with large language models, and how this synergy could revolutionize AI's predictive capabilities and reasoning, paving the way for more intuitive and interactive systems across various domains, especially in household environments. Don't miss this riveting exploration of the next frontier in artificial intelligence research and its potential to transform our interaction with technology. Remember to rate us on Apple Podcast and Spotify if you're intrigued by the insights shared in this episode! 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: 1password.com/eyeonai Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Join host Craig Smith for episode #173 of Eye on AI, featuring a groundbreaking discussion with Vincent Vanhoucke, distinguished Scientist, and Senior Director for Robotics at Google DeepMind. In this episode, Vincent dives into the cutting-edge world of robotic control with RT2, DeepMind's innovative robotic transformer system. Learn how RT2's integration of visual perception, natural language understanding, and action planning is pushing the boundaries of robotics, enabling machines to reason and act with unprecedented flexibility and intelligence. Discover the challenges, technological marvels, and future prospects of robotics as we explore how DeepMind is shaping the future of AI-driven automation. Tune in to uncover the potential of RT2 in transforming robotic capabilities and the implications for diverse applications across industries. Don't forget to rate us on Apple Podcast and Spotify if you find the episode insightful! This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (04:15) Vincent's Background and DeepMind's Robotics (06:04) RT2 Architecture Overview (09:06) Semantic Planning in Robotics (12:33) Reinforcement Learning and Mitigating Model Hallucinations (15:47) World Models and Planning (19:29) Integrating Sensory Data for Planning (24:08) The Future of Robotic Control and RT2 (27:35) RT2 Open Source and Hardware Integration

Join host Craig Smith on episode #172 of Eye on AI as he sits down with Cris Valenzuela, co-founder and CEO of Runway, an applied AI research company shaping the next era of art, entertainment and human creativity Cris shares insights into the origins of Runway, highlighting how the company supports creators across various domains, from filmmaking to music production, by leveraging the power of AI. We dive deep into the fascinating world of generative models like stable diffusion, discussing their development, applications, and the future of creative expression through AI.Discover how Runway's AI tools are breaking new ground in image and video generation, transforming artistic workflows, and opening up unprecedented opportunities for creativity. We'll also explore the broader implications of AI in art and media, discussing the balance between technological innovation and the preservation of artistic integrity. Tune in and don't forget to rate us on Apple Podcast and Spotify if you enjoy the episode! 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 and Introduction (01:56) Cris Valenzuela: Background and Runway's Genesis (05:48) Understanding Diffusion Models (08:01) Discussion on Mid Journey and Other Models (10:19) Open Source vs Proprietary Models (13:07) Exploring Video Generation Technology (17:52) Achieving Consistency in Generated Videos (21:22) Compute Requirements for Training Models (25:07) Scale and Parameters of Runway's Models (29:49) Customizing Models for Specific Needs (33:51) Applicability to AR and VR (37:32) Runway's User Community and Impact (40:21) Runway's Best Work

Join host Craig Smith on episode #171 of Eye on AI, for an enlightening conversation with Anna Marie Wagner, SVP, Head of AI at Ginkgo Bioworks, renowned for their work in synthetic biology and its integration with artificial intelligence. In this episode, we explore groundbreaking projects like engineering self-fertilizing corn, pioneering RNA therapeutics, and developing sustainable materials. Discover how Ginkgo leverages its genomic library and AI to design custom proteins, pushing scientific boundaries and paving the way for revolutionary industry applications. We'll also tackle the vital topics of biosecurity and ethical considerations in biotech, highlighting the balance between innovation and responsibility. Anna Marie Wagner's insights provide a glimpse into the transformative potential at the crossroads of biology and technology, making this episode a must-listen for anyone intrigued by the future of scientific advancements. Tune in to Eye on AI for this enlightening discussion, and don't forget to rate us on Apple Podcast and Spotify if you enjoy the episode. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (01:37) Anna 's Role at Ginkgo and Her Journey in AI and Biotech (02:25) Ginkgo Bioworks: History, Founders, and Philosophy (08:05) Who Can Use Ginkgo's Services? (10:30) Small Molecules, Biologics, and the Scope of Ginkgo's Work (12:48) The Role of AI in Biotechnology (16:46) Enzyme Engineering and ML-Guided Searches (19:11) Ginkgo's Unique Approach to AI and Biotech (24:33) The Corn Nitrogen Fixation Project with Bayer (27:20) Genetic Mechanisms for Nitrogen Fixation (33:19) Addressing Biosafety and Biosecurity Concerns (36:47) Exploring New Materials and Environmental Concerns (40:27) Innovations in Biotech (42:01) Increasing Biotech Awareness (46:46) Collaboration with Google (48:06) Building Foundation Models on Google's Infrastructure (53:20) The Potential of AI in Biology

Join host Craig Smith on episode #170 of Eye on AI, for a riveting conversation with Richard Sutton, currently serving as a professor of computing science at the University of Alberta and a research scientist at Keen Technologies. Sutton is considered one of the founders of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning and policy gradient methods. In this episode, we go through the Alberta Plan for AI development, the transformative potential of reinforcement learning, and the future of AI in augmenting human intelligence. Richard Sutton shares insights on the importance of computational power, the impact of large language models, and the vision for AI that interacts with the world through goals and learning from its environment. We also explore the challenges and opportunities in making AI more embodied and goal-oriented, and how this approach could revolutionize our interaction with technology. A must-listen for anyone interested in the cutting-edge advancements in AI and its societal implications. Don't forget to rate us on Apple Podcast and Spotify if you enjoyed this episode! This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:15) AI's Evolution: Insights from Richard Sutton (07:08) Breaking Down AI: From Algorithms to AGI (10:50) The Alberta Experiment: A New Approach to AI Learning (18:27) The Horde Architecture Explained (21:23) Power Collaboration: Carmack, Keen, and the Future of AI (25:04) Expanding AI's Learning Capabilities (31:34) Is AI the Future of Technology? (35:29) The Next Step in AI: Experiential Learning and Embodiment (40:00) AI's Building Blocks: Algorithms for a Smarter Tomorrow (45:59) The Strategy of AI: Planning and Representation (49:27) Learning Methods Face-Off: Reinforcement vs. Supervised (52:53) The 2030 Vision: Aiming for True AI Intelligence?

Join host Craig Smith on episode #169 of Eye on AI as we sit down with Guillermo Rauch, CEO of Vercel, a company that optimizes frontend deployment, making web projects faster to execute and easier to scale. In this episode, we explore the intersection of AI and web development, showcasing how Vercel is pioneering the integration of generative AI technologies to revolutionize web experiences. Guillermo Rauch shares his vision on the future of web development, emphasizing the significance of JavaScript, the evolution of the web, and the critical role of Vercel in facilitating developers to seamlessly deploy AI-driven applications. We delve into the architectural innovations at Vercel, the democratization of AI, and the synergy of combining diverse AI models for superior functionalities as well. Guillermo's perspectives provide a glimpse into the future of interactive web experiences, powered by AI. This episode is a must-listen for developers, entrepreneurs, and anyone interested in the cutting-edge of AI and web development. Don't forget to rate us on Apple Podcast and Spotify if you enjoyed this episode! This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (03:01) Guillermo's Background and Next.js Creation (08:19) Vercel's Operation on AWS and Alternative Solutions (13:12) Combining Different AI Models for Enhanced Outputs (17:25) The Evolution of AI and Focus on User Experience (22:46) Introduction to Copilot and AI Integration in Coding (26:33) The Future of AI Technologies (31:41) Generative AI Applications and Vercel's Role (33:14) Flexibility and Framework Support on Vercel (38:11) Vercel's Architectural Approach (41:02) Trends in Generative AI and App Development (47:54) Supporting Applications with World Models (50:54) Vercel's Growth and Expansion in Serving AI Companies (55:20) Flexibility in Model Integration and Future Directions (57:28) Closing Remarks and Oracle Cloud Infrastructure Promo

Join host Craig Smith on episode #168 of Eye on AI as we sit down with Ian Bremmer, the founder and president of the Eurasia Group, a leading global political risk research and consulting firm. In this episode, we delve into the complex world of AI governance and the geopolitical challenges of regulating transformative technology. Ian Bremmer shares his expert insights into the rapidly evolving landscape of AI development and its implications for global politics, security, and economy. We discuss the necessity of international cooperation and regulatory frameworks to manage the risks and harness the potential of AI technologies. Bremmer also draws parallels between AI governance and other regulatory challenges, such as climate change, highlighting the importance of strategic foresight and adaptive policies in addressing the multifaceted issues presented by AI. Whether you're interested in the geopolitical dynamics of technology, the intricacies of AI regulation, or the future of global governance, this episode offers valuable perspectives from one of the leading thinkers in the field. Make sure you rate us on Apple Podcast and Spotify if you enjoyed this episode! This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to AI Governance (00:59) Craig Smith's Introduction (03:00) Ian Bremmer's Background (04:19) AI Regulation Discussion (11:17) Limiting AI Compute Power (19:21) The Role of AGI and AI Regulation (26:23) EU's Approach to AI Regulation (29:24) Hybrid Regulation Models (32:08) Comparing AI Governance with Other Industries (35:19) US-China Competition in AI (42:32) The Role of Open Source in AI Governance (45:17) Ian Bremmer's Thoughts on AI's Future

This episode is sponsored by ISS, a leading global provider of video intelligence and data awareness solutions. Founded in 1996 and headquartered in Woodbridge, N.J., ISS offers a robust portfolio of AI-powered, high-trust video analytics for streamlining security, safety and business operations within a wide range of vertical markets. So, what do you want to know about your environment? To learn more about our video intelligence solutions, visit issivs.com Join host Craig Smith on episode #167 of Eye on AI as we sit down with Matt Powell, Managing Director at ISSVSS, a company that offers a comprehensive suite of AI powered video intelligence solutions to address security, safety, and business challenges across a diverse range of vertical markets. In this episode, we explore the fascinating evolution of video analytics technology, focusing on its impactful applications across various industries, from urban planning and traffic engineering to healthcare and sports venues. Discover the unique challenges and breakthroughs in video analytics, the intricate development process,and the unique analytic modules designed for diverse tasks like crowd management and safety monitoring. Matt shares how these advancements are not only transforming business operations but also paving the way for more accessible and consumer-centric applications, particularly in sectors like elder care. If you're intrigued by the intersection of AI technology and its real-world applications, this conversation is a must-watch. This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview (00:33) AI's Role in Various Industries (02:47) ISS's Evolution and Global Presence (05:01) On-Premise vs. Cloud Analytics (09:14) Understanding Video Analytics and AI Modules (22:16) The Versatility of AI Tasks and Modules (25:48) Future Trends in AI and Video Analytics (31:59) Diverse Applications of Video Analytics (37:00) Accessibility and Cost of Video Analytics (40:04) Applications in Elder Care and Security (46:48) Facial Recognition Technology and Privacy (48:18) Intelligent Transportation and City Planning (53:48) Advanced Analytics in Public Safety (58:24) Global Adoption and Future of AI (1:00:11) Closing Remarks on AI's Impact

Join host Craig Smith on episode #166 of Eye on AI as we sit down with Itamar Arel, CEO of Tenyx, a company that uses proprietary neuroscience-inspired AI technology to build the next generation of voice-based conversational agents. Itamar shares his journey that started with academic research to becoming a leading tech entrepreneur with Tenyx. We explore the evolution of voice AI in customer service and the unique challenges and advancements in understanding and responding to human speech. We dig deeper into Tenyx's unique approach to AI-driven customer service while exploring the production and design considerations when developing cutting-edge AI technology. Make sure you watch till the end as Itamar shares his vision on how AI is going to reshape industries and help advance modern day businesses. Enjoyed this conversation? Make sure you like, comment and share for more fascinating discussions in the world of AI. 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 and Introduction (03:35) Itamar Arel's Career and Introduction to Voice AI Development (07:39) Key Differences in Current and Past Technology Solutions (09:10) Advancements in Voice AI and Large Language Models (11:00) The Inception and Evolution of Tenyx (13:29) Challenges in Developing Voice AI (18:27) Innovative Approaches in Voice AI Development (21:05) Data Handling and Fine-Tuning in Model Development (25;41) How To Standout In The Crowded AI Market (29:44) The Future of Voice AI and Generative Models (37:14) Testing and Evaluation of Voice AI Systems (40:10) Where Will AI Be in 5 Years? (43:42) Closing Remarks and A Word From Our Sponsors

This episode is sponsored by Babbel. Babbel is conversation-based learning built with science-backed cognitive tools like spaced repetition and interactive lessons created by real language teachers and voiced by real native speakers. Get 55% off your Babbel subscription 👉 https://babbel.com/eyeonai Unveil the transformative power of AI in business and society. Join us on #165 of the Eye on AI podcast as we sit down with Andy Hock, VP of Product at Cerebras Systems, an AI hardware startup out to accelerate deep learning and change computing forever. Focusing on the intersection of AI and business, Andy discusses how advanced technologies are reshaping corporate strategies and operations. He offers insights into integrating AI into traditional business models, emphasizing the transformative role of technology in innovation and growth. We also explore the societal implications of AI. Andy delves into the ethical considerations and challenges posed by AI, including privacy and responsible deployment. He sheds light on the latest trends in AI research, particularly in areas like natural language processing and machine learning, and their diverse applications across industries. Andy concludes with advice for businesses and individuals navigating the AI landscape, underscoring the importance of adaptability and continuous learning in this rapidly evolving field. Make sure you watch till the end! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (01:09) Decoding Cerebras Systems' Technology. (03:25) The Power of the Wafer Scale Engine (05:24) Training and Inference Capabilities (10:44) Accessibility for Students and Researchers (12:08) GPU Equivalents and Wafer Scale Engine's Efficiency (13:53) Utilization and Power of the Chip (19:02) Understanding Wafer and Circuitry (23:27) Computing Power of the Wafer Scale Engine (28:59) Challenges in Cooling the Wafer Scale Engine (32:31) Utilization of Silicon Waste (36:21) Cost Comparison with Other Technologies (40:01) Customer Usage Patterns – Cloud vs On-Premise (45:22) Training Models for Edge Devices (47:30) Collaborations with OpenAI (49:26) Addressing GPU Shortages and Enterprise Needs (51:01) Inference Capabilities and Future Developments (57:46) AI as a National Compute Resource (01:03:41) Closing Remarks

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Explore the frontiers of AI with Hrant Khachatrian and discover how Armenia is carving its niche in the global AI landscape on Eye on AI. In this episode Hrant shares his journey from industry to academia, detailing the establishment of YerevaNN at a time when machine learning was scarcely present in Armenia. The discussion revolves around the challenges and breakthroughs in AI research, particularly in areas like natural language processing and clinical time series. Hrant also delves into his lab's efforts in developing deep learning algorithms for a wide array of applications, from electronic health records to image segmentation. His insights provide a unique perspective on the growth of AI research in Armenia and its global implications, so make sure you watch till the end. 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 and Introduction (02:03) Sponsorship: Netsuite by Oracle Evolution (04:40) Hrant's Journey: From Computer Science to Founding Yerevann ML Research Lab (06:15) What Are The Goals of Yerevann ML Research Lab? (11:33) Career Pathways in AI: Industry vs Academia (14:22) AI Development in Armenia: Challenges and Opportunities (21:41) Leveraging Compute Resources for AI Research (25:46) Drug Discovery and Aerial Navigation in AI (33:54) Exploring New Avenues of AI Research (41:15) Building a Global Research Community from Armenia (49:53) Future of AI Research: Potential Areas and Strategies (57:10) Closing Remarks

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI Discover the heart of Armenia's tech revolution with the latest guest of the Eye on AI podcast, Rem Darbinyan. Discover how this small nation is sprinting towards becoming a powerhouse of innovation, with education systems racing to nurture the next wave of AI mavens. Rem walks us through his personal journey, from Armenia to Russia and the US, only to return with a mission: to escalate Armenia from an outsourcing hub to a global startup contender. Learn what it means to dream big, as we unveil the intricacies of pioneering the new era of startups. Step into a world where geographical borders dissolve in the face of unrelenting creativity and flexibility. (00:00) Preview and Introduction (02:09) The background of Rem Darbinyan (04:49) Sponsorship: Nesuite by Oracle (07:00) How Rem discovered artificial intelligence (09:50) How Armenia and artificial intelligence are growing (13:55) Startup culture and universities for AI/ML (17:45) Was Armenia an outsourced partner for many countries? (22:00) Why do people outsource to India and Armenia? (24:25) How Armenia build products for global markets (30:00) How Rem reaches western markets with products (36:00) How Rem builds influencer platforms (40:00) Building lean and validating each step 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. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI On episode #162 of Eye on AI, Craig Smith sits down with Vasi Philomin, Vice President of Generative AI at Amazon Web Services. Vasi shares his journey in AI and ML, detailing his contributions to Amazon's extensive array of AI capabilities. He delves into the development and impact of revolutionary services like Lex, Poly, Code Whisperer, and Amazon Q, highlighting Amazon's approach to AI integration and its customer-centric innovations. This episode offers a glimpse into the transformative potential of generative AI across industries and the future of enterprise AI solutions. Join us to understand Amazon's unique perspective on AI development and its global influence. Don't forget to leave a 5-star rating on Spotify and a review on Apple Podcasts! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (03:41)Vasi Philomin's Background and Role at Amazon (04:13) Generative AI at Amazon: Development and Impac (08:10) Amazon's AI Strategy and Foundation Models (15:57) Diverse AI Models and Enterprise Solutions. (22:01) The Future of AI Agents and Work Automation (29:22) The Evolution and Impact of AI Agents (36:32) Closing Remarks and Netsuite by Oracle

This episode is sponsored by Babbel. Babbel is conversation-based learning built with science-backed cognitive tools like spaced repetition and interactive lessons created by real language teachers and voiced by real native speakers. Get 55% off your Babbel subscription 👉 babbel.com/eyeonai On episode #161 of Eye on AI, join Craig Smith as he sits down with Harut Martirosyan, CTO of Intent.ai. In this episode, we explore Harut's journey in AI, highlighting his role in shaping ad targeting technology and fostering Armenia's tech ecosystem. Harut shares insights about Armenia's technological heritage, the influence of major tech companies in the region, and the evolving landscape of AI and machine learning. We also cover the integration of AI in business and its global impact. Don't forget to rate us on Spotify and leave a review on Apple Podcasts! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction to Harut Martirosyan (05:14) Harut's Background in AI and Privacy Focus (07:16) Evolution of Tech Education in Armenia (10:47) Intent AI's Product and Machine Learning Challenges (15:09) Exploring Armenia's Growing Tech Ecosystem (21:57) Political Landscape and Tech's Societal Impact (30:20) Armenia's Startup Ecosystem and Market Dynamics (35:42) Identifying and Capitalizing on Emerging Tech Niches (39:19) Future Prospects in Armenian Tech

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 On episode #160 of Eye on AI, join Craig Smith as he sits down with Atul Deo, General Manager for Amazon Bedrock. This episode delves into Atul's journey in the tech world, from his beginnings in computer science and business to spearheading major AI-powered projects at Amazon. Atul shares his insights on the development and impact of Amazon Bedrock, a platform designed to democratize access to advanced AI models. He discusses the evolution of machine learning, the integration of AI in customer care through Amazon Connect, and the emergence of generative AI technologies like Amazon Code Whisperer. Learn about the challenges and breakthroughs in creating AI applications, the significance of large language models, and Atul's vision for the future of AI at Amazon. Don't forget to leave a 5-star rating on Spotify and a review on Apple Podcasts! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (03:30) Exploring Bedrock and Atul's Professional Journey (07:14) Diving Deep into Code Whisperer and AI-Powered Coding (10:54) The Future of AI in Code Generation and Review (13:23) Unveiling Bedrock's API and Its Ecosystem (16:36) Retrieval Augmented Generation (RAG) in AI (21:51) The Evolution and Integration of Vector Databases in AI (25:29) Confronting the GPU Shortage and AI Scalability (29:32) The Landscape of Foundation Models and AI's Future (33:27) Broadening the Horizon: From Language to World Models (38:33) Closing Thoughts and Future of AI

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

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at NetSuite.com/EYEONAI On episode 158 of Eye on AI, host Craig Smith dives deep into the world of AI safety, governance, and open-source dilemmas with Connor Leahy, CEO of Conjecture, an AI company specializing in AI safety. Connor, known for his pioneering work in open-source large language models, shares his views on the monopolization of AI technology and the risks of keeping such powerful technology in the hands of a few. The episode starts with a discussion on the dangers of centralizing AI power, reflecting on OpenAI's situation and the broader implications for AI governance. Connor draws parallels with historical examples, emphasizing the need for widespread governance and responsible AI development. He highlights the importance of creating AI architectures that are understandable and controllable, discussing the challenges in ensuring AI safety in a rapidly evolving field. We also explore the complexities of AI ethics, touching upon the necessity of policy and regulation in shaping AI's future. We discuss the potential of AI systems, the importance of public understanding and involvement in AI governance, and the role of governments in regulating AI development. The episode concludes with a thought-provoking reflection on the future of AI and its impact on society, economy, and politics. Connor urges the need for careful consideration and action in the face of AI's unprecedented capabilities, advocating for a more cautious approach to AI development. Remember to leave a 5-star rating on Spotify and a review on Apple Podcasts if you enjoyed this podcast. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview (00:25) Netsuite by Oracle (02:42) Introducing Connor Leahy (06:35) The Mayak Facility: A Historical Parallel (13:39) Open Source AI: Safety and Risks (19:31) Flaws of Self-Regulation in AI (24:30) Connor's Policy Proposals for AI (31:02) Implementing a Kill Switch in AI Systems (33:39) The Role of Public Opinion and Policy in AI (41:00) AI Agents and the Risk of Disinformation (49:26) Survivorship Bias and AI Risks (52:43) A Hopeful Outlook on AI and Society (57:08) Closing Remarks and A word From Our Sponsors

This episode is sponsored by ISS, a leading global provider of video intelligence and data awareness solutions. ISS offers a robust portfolio of AI-powered, high-trust video analytics for streamlining security, safety and business operations within a wide range of vertical markets. So, what do you want to know about your environment? To learn more about our video intelligence solutions, visit https://issivs.com/ On episode #155 of Eye on AI, Craig Smith sits down with Karen Hao, who is currently a contributing writer for The Atlantic with an impressive background as a foreign correspondent for The Wall Street Journal in Hong Kong and as a senior artificial intelligence editor at MIT Technology Review. Known for her incisive coverage of AI, including its ethical and societal implications, Hao brings a wealth of knowledge from her experiences in journalism and data science. In this episode, Karen delves into the recent controversies surrounding OpenAI, shedding light on the power struggles, ethical dilemmas, and corporate alliances shaping the future of artificial intelligence. Her unique perspective, gained from her experience as a foreign correspondent and senior AI editor, offers a deep understanding of the complexities that exist in the AI world. We explore the intricate narrative constructed by OpenAI, its relationship with giants like Microsoft, and the broader implications of these partnerships on AI development and ethics. Karen's critical analysis provides an insightful look into the often opaque world of AI and its global impact. If you find this discussion as enlightening as we did, please consider leaving a 5-star rating on Spotify and a review on Apple Podcasts. Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:28) Karen Hao's Background and Entry into Tech Journalism (09:14) OpenAI's GPT-2 Controversy and Company Evolution (11:35) Nonprofit and For-Profit Structure of OpenAI (15:26) OpenAI Board Dynamics and Power Struggles (18:07) Transparency and Open Source in AI Development (21:27) Future of OpenAI and Tech Industry Speculations (26:22) Microsoft's Investment and Partnership with OpenAI (31:28) Sam Altman's Potential Chip Company Endeavor (33:20) AGI Speculations and Existential Risks (34:38) AGI Definitions and Real-World AI Limitations

This episode is sponsored by Celonis, the global leader in process mining. AI has landed and enterprises are adapting. To give customers' slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis reconstructs this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Go to https://celonis.com/eyeonai to find out more. On episode #156 of Eye on AI, Craig Smith sits down with Gordon Crovitz, co-founder of NewsGuard and former publisher of the Wall Street Journal, to unravel the complexities of AI-generated misinformation. In this episode, Crovitz delves into the challenges posed by AI in the spread of fake news, emphasizing the growing issue of AI-enhanced misinformation websites. He discusses the significant role of NewsGuard in countering this trend through human-analyzed databases and the importance of 'trust data' to improve the reliability of AI models. The conversation also touches upon the responsibility of social media platforms and search engines in this battle against digital deception. Tune in for an enlightening discussion that navigates the intersection of AI, journalism, and truth in today's digital landscape. Stay updated: Craig Smith's Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview (00:19) Celonis (01:26) Introducing Gordon Crovitz (02:24) What is NewsGuard's Mission? (05:58) Challenges in Detecting AI-Generated Content (08:36) The Impact of AI-Generated Misinformation (14:19) Future of AI Agents and Their Role in Content Generation (17:35) Use Purpose of NewsGuard's Databases (22:34) How Do You Tackle Misinformation Effectively? (29:38) Government and Regulatory Responses to Misinformation (32:36) What Role Does Social Media Play in Misinformation? (39:22) Impact of AI on News (42:32) The Role of Search Companies in Combating Misinformation (44:13) Regulatory Measures to Stop Misinformation

This episode is sponsored by Celonis, the global leader in process mining. AI has landed and enterprises are adapting. To give customers' slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis reconstructs this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Go to https://celonis.com/eyeonai to find out more. Explore the world of scent detection and creation with our special guest, Alex Wiltschko, Founder and CEO of Osmo. Alex is giving computers a sense of smell to improve the health and happiness of human life. From discussing the complexities of mapping smell using artificial intelligence to the lexicon used by perfumers to standardize their work, Alex takes us on a scented journey that's bound to whet your olfactory appetite. You'll be intrigued by how olfactory sensory neurons express 350 distinct channels of information and how AI can predict smells based on the molecular structure. Alex shares his insights about a unique project they've been working on with the Gates Foundation to create molecules that smell good to humans but repel insects. We dive into the prospect of finding safe, affordable, and great smelling molecules via AI, and how this can have a profound impact on products we use every day. Finally, we shift the conversation to the use of large language models in creating natural language interfaces. Alex shares how Osmo is using AI to 'open the window of computation to smells' and how this technology can potentially make us healthier and happier. Craig Smith's Twitter: https://twitter.com/craigss (00:00) Preview (00:30) Celonis Sponsorship & introduction (03:30) Alex's Interest in Neuroscience and Scents (05:20) The Neuroscience of Wine Tasting (14:25) Mapping Smell With Artificial Intelligence (18:05) How AI Integrates with Smell & Molecules (21:43) Perfumers' Language Dictionary and Taxonomy (25:20) Completing the Double Blind Test For Scent (34:05) Discovering Safe and Effective Fragrance Molecules (44:23) The Future of Fragrance Technology (54:48) Large Language Models in Natural Language Interfaces

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 us on episode #154 of Eye on AI as Craig Smith sits down with Sal Khan, the founder of Khan Academy, a non-profit educational organization that provides free online courses, lessons, and practice exercises across a wide range of subjects to learners worldwide. In this episode, Sal shares the journey of Khan Academy's growth from a small tutoring project to a global educational platform. He discusses the challenges and successes in integrating AI into educational systems, emphasizing its efficacy in enhancing student engagement and learning outcomes. Sal also sheds light on the potential of generative AI in language learning, illustrating how it bridges cultural and linguistic gaps, especially for students navigating between their native language and English. The conversation further delves into the impact of AI-powered education in resource-limited settings, exemplifying its potential as a game-changer in global education. We touch upon the skepticism towards free educational resources, a hurdle especially prevalent in poorer regions of the world. Sal Khan addresses this irony, sharing strategies to overcome these barriers and increase awareness and adoption of such resources. If you found this episode insightful, please support us by leaving a 5-star rating on Spotify and a review on Apple Podcasts. Stay updated: Craig Smith's Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Intro (03:02) Sal Khan's Background and the Origins of Khan Academy (08:18) AI Integration in Khan Academy's Learning Platform (11:54) Khanmigo: The AI Tutor from Khan Academy (17:43) Khan Academy's Business Model (23:32) Future of AI Tutors and Engaging Learning Experiences (28:16) Khan Academy's Global Reach and Accessibility (34:17) How is Sal Expanding Khan Academy's AI Capabilities? (38:50) Addressing Skepticism and Misuse of AI in Education (41:19) Sal Khan's Message on the Future of AI in Education

This episode is sponsored by Celonis ,the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis reconstructs this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Go to https://celonis.com/eyeonai to find out more. In episode #153 of Eye on AI, Craig Smith sits down with Ed Anuff, Chief Product Office at DataStax. We take a deep dive into the world of vector databases and their integration with AI. Ed sheds light on the innovative ways AI is being incorporated into database technologies, with a special focus on the advancements and applications of Cassandra in this realm. Ed elaborates on the challenges and opportunities in melding AI with database management systems. He talks about the evolving landscape of data storage and retrieval in the age of AI, and how these advancements are reshaping businesses and data strategies. We also explore the broader implications of AI in database technology, including scalability, efficiency, and the future of AI-driven data solutions. Ed shares his insights on how companies like DataStax are at the forefront of this technological convergence, driving innovation and transformation in the industry. If you find this episode insightful, please support us by leaving a 5-star rating on Spotify and a review on Apple Podcasts. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview, Celonis and Introduction (02:19) Ed Anuff's Background and Journey to DataStax (03:33) The Role of Cassandra in DataStax (05:06) Understanding Cassandra: A NoSQL Database (07:50) Impact of ChatGPT and Vector Databases in AI (11:58) DataStax's Introduction of Vector Databases (17:26) Addressing Data Accumulation and Usage (22:18) Managing Data Expiration in DataStax (29:24) Introducing AstraDB: DataStax's Cloud Product (36:42) Business Growth and AI Integrations in DataStax (42:18) Rate Limits, AI Experiments, and Enterprise Integration (49:47) The Future of AI in Databases (55:20) Evaluating Databases: Performance and Relevancy

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at NetSuite.com/EYEONAI On episode #152 of Eye on AI, Craig Smith sits down with Alex Kendall, founder and CEO of Wavye, a company building autonomous vehicle technology using AI. In this episode, Alex provides an inside look at Wavye's approach to autonomous driving, which leverages world models and reinforcement learning to create an AI "driver" that can understand complex urban environments. Alex explains how world models allow an AI system to imagine multiple futures before acting, enabling safer decision-making, and shares Wavye's progress on deploying autonomous delivery vehicles with partners in the UK. We also dive into the differences between world models and large language models, the unique data challenges of perception-based AI, and Wave's ambitions to expand this AI technology to new applications like humanoid robotics. If you enjoyed this podcast, please consider leaving a 5-star rating on Spotify and a review on Apple Podcasts. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview, Introduction and Netsuite (03:45) The Advantages of World Models (10:12) Developing Autonomous Driving Technology (16:35) Partnership with Microsoft and Training Challenges (21:10) Decoding the Concept of Generalization in Autonomous Driving (27:08) Compute Requirements and Infrastructure (32:45) The Role of Azure in Training (37:12) What Is Tokenization of Data (41:47) Addressing Compute Constraints (46:12) Future Applications of World Models and Open Source

This episode is sponsored by Celonis ,the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis reconstructs this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Go to https://celonis.com/eyeonai to find out more. Welcome to episode 151 of the 'Eye on AI' podcast. In this episode, host Craig Smith sits down with Asa Cooper, a postdoctoral researcher at NYU, who is at the forefront of language model safety. This episode takes us on a journey through the complexities of AI situational awareness, the potential for consciousness in language models, and the future of AI safety research. Craig and Asa delve into the nuances of AI situational awareness and its distinction from sentience. Asa, with his rich background in NLP and AI safety from Edinburgh University, shares insights from his post-doc work at NYU, discussing collaborative efforts on a paper that has garnered attention for its take on situational awareness in large language models (LLMs). We explore the economic drivers behind creating AI with such capabilities and the role of scaling versus algorithmic innovation in achieving this milestone. We also delve into the concept of agency in LLMs, the challenges of post-deployment monitoring, and the effectiveness of current measures in detecting situational awareness. To wrap things off, we break down the importance of source trustworthiness and the model's ability to discern reliable information, a critical aspect of AI safety and functionality, so make sure to watch till the end. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:30) Asa's NLP Expertise and the Safety of Language Models (06:05) Breaking Down AI's Situational Awareness (13:44) Evolution of AI: Predictive Models to AI Coworkers (20:29) New Frontier in AI Development? (27:14) Measuring AI's Awareness (33:49) Innovative Experiments with LLMs (40:51) The Consequences of Detecting Situational Awareness in AI (44:07) How To Train AI On Trusted Sources (49:52) What Is The Future of AI Training? (56:35) AI Safety: Public Concerns and the Path Forward**

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 Welcome to episode 150 of the 'Eye on AI' podcast. In this episode, host Craig Smith sits down with Yann LeCun, a Turing Award winner who has been instrumental in advancing convolutional neural networks and whose work spans machine learning, computer vision, and more. Tune is as Craig and Yann explore the intricacies of AI, world models, and the challenges of continuous learning. In this episode, Yann delves deep into the concept of a "world model" - systems that can predict the world's future states, allowing agents to make informed decisions. The discussion transitions to the challenges of training these models, particularly when dealing with diverse data like text and images. We then discuss the computational demands of modern AI models, with Yann highlighting the nuances between generative models for videos and language. He also touches upon the idea of the "Embodied Turing Tests" and how augmented language models can bridge the gap between human-like behavior and computational efficiency.The spotlight then shifts to pressing concerns surrounding the open-source nature of AI models, with Yann articulating the legal ramifications and the future of open-source AI. Drawing from global perspectives, including China's stance on open-source, Yann underscores the imperative for a collaborative approach in the AI space, ensuring it's reflective of diverse global needs. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview, Oracle and Introduction (02:42) Decoding The World Model and Gaia 1 (07:43) Energy and Computational Demands of AI (08:06) Video vs. Text Processing & True AI Capabilities (11:17) Embodied Turing Test & Augmented LLMs (15:38) Is AI a Threat To Society? (25:04) Where is AI Development Headed? (31:06) Interplay of Neuroscience and AI** (33:33) Yann's Vision, JEPA, and Learning Challenges (39:05) Yann's Career, AI Progress, and Challenges (44:47) The Open Source Debate in AI (55:30) Oracle Cloud Infrastructure

This episode is sponsored by Digimarc, the leader in digital watermarking. Digimarc digital watermarks invisibly guard your digital assets to protect against misuse, prove copyright ownership, and verify authenticity. In an era of artificial intelligence, don't leave your images and other digital content exposed. Demand superior content protection and maintain trust in your brand with Digimarc. Checkout Digimarc - https://www.digimarc.com/ This episode is sponsored by Celonis ,the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis recontrusts this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Visit Celonis- https://celonis.com/eyeonai Welcome to episode 149 of the 'Eye on AI' podcast. In this episode, host Craig Smith sits down with Alex Klein, the Cofounder & CEO of STEM and Kano Computing, who boasts an illustrious academic background from Cambridge and Yale. Alex recalls his transition from journalism to creating STEM kits for children and unveils the inception story of the STEM player, a pioneering music product co-developed with Kanye West. As the conversation progresses, Alex delves deep into his academic experiences, focusing on his economic research at Cambridge, and his venture into the tech world. Emphasizing hands-on tech experiences, Alex discusses the manufacturing processes, and the origin story of KANO - designed to make Raspberry Pi more user-friendly. Alex describes his unexpected encounter with Kanye West at the Consumer Electronics Show (CES) and their subsequent collaborations. The nuances of their flagship product, the STEM player, giving listeners an insight into how it revolutionizes music listening. Alex also gives us a sneak peek into their upcoming product, STEM 2, and sheds light on the company's future trajectory, emphasizing their commitment to redefining the music and audio space over the next three years. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI 00:00 Preview, Celonis and Digimarc Ad 02:11 Origins of Kano & Alex's Stint with Journalism 04:47 The Evolution of Stem Player 12:55 Alex' Educational & Philosophical Foundations 15:13 Kanye Collaboration 21:24 Deep Dive into Audio & STEM's Technology 27:26 Future of Stem Player 37 02 Revolutionizing Music & Audio Experience Through Hardware 43:22 Innovations in AI & its Use Case Horizons

This epsiode 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 and Cohere - take a free test drive of OCI at oracle.com/eyeonai Welcome to episode 148 of the 'Eye on AI' podcast. In this episode, host Craig Smith sits down with Ahmed Imtiaz, a PhD student from Rice University working on deep learning theory and generative modeling. Ahmed is currently spearheading his research at Google, exploring the dynamics of text-to-image generative models. In this episode, Ahmed sheds light on the concept of synthetic data, emphasizing the delicate equilibrium between real and algorithmically generated data. We navigate the complexities of model autophagy disorder (MAD) in generative AI,highlighting the potential pitfalls that models can fall into when overly reliant on their own generated data. We also go through AI capabilities in lesser-explored languages, with Ahmed passionately sharing about his initiative "Bengali AI" aimed at advancing AI proficiency in the Bengali language. Ahmed introduces pioneering strategies to differentiate and manage synthetic data. As we wrap up, Ahmed and I deliberate on the merits and challenges of open-sourcing formidable AI models. We grapple with the age-old debate of transparency versus performance, juxtaposed against the backdrop of potential risks. Dive into the world of AI, synthetic data, and deep learning and join the discussion with Ahmed Imtiaz, as we tackle some of the most pressing issues the AI community is facing today. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Oracle ad (02:56) Ahmed's Academic Journey (04:14) The Challenge of Non-English AI (06:34) Model Autophagy Disorder Explained (14:40) Internet Content: AI's Growing Involvement (21:08) The New Age of Data Collection (26:28) AI's Role in Protecting Digital Assets (38:51) Open-Source vs Proprietary Model Debate

This episode is sponsored by Crusoe. Crusoe Cloud is a scalable, clean, high-performance cloud, optimized for AI and HPC workloads, and powered by wasted, stranded or clean energy. Crusoe offers virtualized compute and storage solutions for a range of applications - including generative AI, computational biology, and rendering. Visit https://crusoecloud.com/ to see what climate-aligned computing can do for your business This episode is sponsored by Celonis ,the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis recontrusts this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. Go to https:/celonis.com/eyeonai/ to find out more. Welcome to episode 147 of the Eye on AI podcast. In this episode, host Craig Smith sits down with Yilna Du, a final year PhD student at MIT EECS with a background in research at leading institutions like OpenAI, FAIR, and Google Deepmind. Yilun's extensive expertise spans generative models, decision making, robot learning, and embodied agents, making him a valuable voice in the AI domain. Our conversation kicks off with a brief on Yilun's academic journey, leading into a deep dive into Reinforcement Learning with AI feedback (RLHF) - its history, inception, and challenges. We then touch upon the effectiveness of RLHF, the intriguing concept of multi-agent debate, and the PAPES procedure. Craig and Yilun further explore the vast realm of AI, debating the gaps between open-source and proprietary models, the need for more compute resources, and the future of robotics interlaced with AI. Yilun provides a glimpse into his vision of decentralized AI systems, contrasting the industry's commercial trajectory with academia. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview, Celonis and Crusoe Ad (04:06) Yilun's Academic Background (05:52) Origin and Applications of RLHF (12:16) ROHF and the Multi-Agent Debate Method (17:32) AI Model Interaction without Human Intervention? (20:41) Applicability and Inconsistency Detection (28:43) The Future of AI Training (45:26) Robotics and Decentralized AI Systems

This episode is sponsored by Celonis ,the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis recontrusts this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Go to https:/celonis.com/eyeonai to find out more. Welcome to episode 146 of the Eye on AI podcast. In this episode, host Craig Smith sits down with Viren Jain, a leading Research Scientist at Google in Mountain View, California. Viren, at the helm of the Connectomics team, has pioneered breakthroughs in synapse-resolution brain mapping in collaboration with esteemed institutions such as HHMI, Max Planck, and Harvard. The conversation kicks off with Jain introducing his academic journey and the evolution of connectomics – the comprehensive study of neural connections in the brain. The duo delves deep into the challenges and advancements in imaging technologies, comparing their progression to genome sequencing. Craig probes further, inquiring about shared principles across organisms, the dynamic behavior of the brain, and the role of electron microscopes in understanding neural structures. The dialogue also touches upon Google's role in the research, Jain's collaborative ventures, and the potential future of AI and connectomics. Viren also shares his insights into neuron tracing, the significance of combining algorithm predictions, the zebra finch bird's song-learning mechanism, and the broader goal of enhancing human health and medicine. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview, Introduction and Celonis (06:45) Viren's Academic and Professional Journey (13:17) AI's Technological Progress and Challenges (22:20) Deep Dive into Connectomics (39:20) Google's Role in AI (44:16) Natural Learning vs. AI Algorithms (57:32) Brain Mapping: Present and Future (01:00:33) Brain Studies for Medical Advancement (01:06:05) Final Reflections and Celonis ad

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 On episode #145 of Eye on AI, Craig Smith sits down with Riley McCormack, President and CEO of Digimarc, pioneers in digital watermarking and cloud-based product data. In this episode, we explore the critical role of digital watermarking in securing our digital assets, especially amidst the surging influence of AI. Riley guides us through the potential risks and benefits this technology brings to the forefront as AI continues to transform our digital world. We then navigate the intricate territories of NFTs and distributed ledger technology, understanding how digital watermarking is reshaping these fields by ensuring trust and authenticity. Our discussion also delves into the Digital Millennium Copyright Act of 1997, highlighting its relevance in upholding copyrights and fostering trust within the digital stratosphere. We conclude with a look at how digital watermarking impacts content creation and its role in shaping a secure and sustainable digital future, from collaborations with central banks to innovative products like Digimarc Recycle. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI 00:00 Preview, Introduction and Shopify 03:05 Introduction to Digital Watermarking 07:01 Evolution of Digital Watermarking 14:21 Digimarc's Role in Digital Watermarking 21:13 Exploring the Protection Of Digital Content 28:56 Key Characteristics of Digital Watermarking 35:12 Application and Implementation of Digital Watermarking 42:46 Watermarking in Blockchain 49:11 What is Digimarc Validate? 01:03:01 Outro and Shopify

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at NetSuite.com/EYEONAI On episode #144 of Eye on AI, Craig Smith sits down with Matt Hicks, President and CEO of Red Hat, a leading provider of enterprise open source software solutions. In this episode, Matt takes us through the evolution of Linux and the rise of the open source models. We explore how Red Hat's long-term support and predictable life cycles have empowered companies to embrace Linux. Additionally, we delve into the transformative potential of deploying open source software alongside proprietary solutions and examine the challenges and opportunities that lie ahead for open source in the realm of generative AI. To wrap things up,as we discuss the importance of efficiency, cost constraints, and specialized models for businesses, all while navigating the ongoing debate on general-purpose AI and the risks and rewards it brings. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview,Introduction & Netsuite (03:11) The Role of OS in Tech (08:06) Red Hat, Open Source, and Generative AI (16:12) Large Language Models and Building Foundations (24:18) AI: Commoditization, Frontier, & Hardware Predictions (32:24) Open Source AI a Dual-Edged Sword? (40:30) Regulatory Aspects & Red Hat's Future Directions (48:36) IBM's Acquisition of Red Hat (55:21) Outro & Netsuite by Oracle

This episode is sponsored by Crusoe. Crusoe Cloud is a scalable, clean, high-performance cloud, optimized for AI and HPC workloads, and powered by wasted, stranded or clean energy. Crusoe offers virtualized compute and storage solutions for a range of applications - including generative AI, computational biology, and rendering. Visit crusoecloud.com to see what climate-aligned computing can do for your business. On episode #143 of Eye on AI, Craig Smith sits down with Scott Aaronson, Schlumberger Centennial Chair of Computer Science at The University of Texas and director of its Quantum Information Center. In this episode, we cut through the quantum computing hype and explore its profound implications for AI. We reveal the practicality of quantum computing, examining how companies are leveraging it to solve intricate problems, like vehicle routing, using D-Wave systems. Scott and I delve into the distinctions between quantum annealing and Grover-type speedups, shedding light on the potential of hybrid solutions that blend classical and quantum elements. Shifting gears, we delve into the synergy between quantum computing and AI safety. Scott shares insights from his work at OpenAI, particularly a project aimed at fine-tuning language models like GPT for detecting AI-generated text, highlighting the implications of such advanced AI technology's potential misuse. If you enjoyed this podcast, please consider leaving a 5-star rating on Spotify and a review on Apple Podcasts. Craig Smith's Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (04:13) Demystifying Quantum Computing (16:04) Leveraging Quantum Computers for Optimization (31:01) What is Quantum Computing? (42:40) Advancements and Challenges in Quantum Computing (54:57) Machine Learning and AI Safety

This episode is sponsored by Celonis, the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis recontrusts this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Go to https:/celonis.com/eyeonai to find out more. On episode #141 of Eye on AI, Craig Smith sits down with Arjun Subramonian, a PhD student hailing from UCLA, with a focus on AI fairness and ethics. Arjun's work encompasses the intricate intersections of machine learning, algorithmic fairness, social justice, and ethics, all while ensuring inclusivity and equity in the realm of technology. In this episode, we embark on a journey through the power of technology, exploring the potential biases in tech development. Arjun shares his personal journey from Silicon Valley to academia, shedding light on the challenges faced as a transgender researcher. Arjun guides us through the ways technology can have a positive impact, from using neo-pronouns to fostering inclusive environments for the queer community. We also venture into the complexities of democratizing AI research, the risks of AI misuse, and the limitations of the scientific method. Our conversation wraps up by emphasizing the importance of inclusivity and equity in the global context, underlining the need for cross-globe communication in building a more inclusive, equitable technology landscape. Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI 00:00 Preview and Celonis Ad 03:12 Promoting LGBTQ+ Inclusion in AI 15:29 Decentralized Organizations 22:29 Pitfalls of AI and Academia 30:59 AI Evolution and Challenges of Inclusion 38:26 Intersectionality and Inclusivity in AI 45:20 Celonis

This episode is sponsored by DataStax, the real-time AI company. With DataStax, any enterprise can mobilize real-time data and quickly build smart, high-growth applications at unlimited scale, on any cloud. Companies building real-time generative AI apps can leverage the DataStax vector search capabilities to build LLM, AI assistant, and more. Sign up now at https://bit.ly/3sHUdGx On episode #141 of Eye on AI, Craig Smith sits down with Peter Voss, founder, CEO, and Chief Scientist of Aigo.ai. Join us as we take a deep dive into the world of artificial general intelligence (AGI) In this episode we embark on Peter's remarkable journey, from his roots as an electronics engineer to his significant role in the pursuit of AGI. Discover how his vision differs from mainstream AI approaches, leaning on cognitive architectures and graph knowledge bases. Ever wondered about the immense potential of real-time learning in AGI? We unearth the secrets behind teaching a system general knowledge and enhancing its cognitive abilities. Dive into the concept of life logging and personalized AI assistants, gaining fresh insights into how AI can adapt and learn on the fly. We wrap things up with a discussion on the challenges of funding AGI projects and explore the competitive landscape in the realm of chatbots and large language models. Get an inside look at Aigo.ai's customer base and pricing strategy. Peter Voss's LinkedIn: https://www.linkedin.com/in/vosspeter/ Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI 00:00 Preview and Data Stax 02:19 Starting an AI Company 07:26 What are Cognitive Architectures? 12:19 Knowledge Graphs in Aigo.ai 15:20 AI Personal Assistants 21:47 The Future of AGI 28:01 Challenges and Limitations of Current AI Models 36:55 Approaches to AGI Development 46:11 Development and Progress Toward AGI 58:08 The Importance of AGI and Collaboration

This episode is sponsored by MindStudio by YouAi. MindStudio is the best way to build an AI business. Start driving some serious revenue before everyone else. Mind Studio allows you to use conversational language to program incredibly powerful AI tools. No coding knowledge is needed to start your AI business. Sign up now- https://bit.ly/MindStudioEyeonAI On episode #139 of Eye on AI , Craig Smith sits down with Isabelle Guyon, a pioneer in the world of machine learning and pattern recognition, and Chair Professor at the University of Paris-Saclay. Isabelle Guyon, renowned for her groundbreaking work with Vladimir Vapnik and Bernhard Boser, has made significant contributions to support-vector machines (SVMs), artificial neural networks, and bioinformatics. In this episode, we delve into SVMs, a technique that efficiently classifies data by maximizing margins, with applications spanning image classification, text classification, and bioinformatics. We also explore maximum margin classifiers in the biomedical field, uncovering their unique approach to category distinction. Learn about weighted sum usage and their adaptability based on available data. Discover how maximum margin classifiers apply to labeled and unlabeled data, for both classification and regression tasks. We wrap things up by discussing the promising prospects of chatbots and language models. Isabelle Guyon shares valuable insights on data preprocessing, bias adjustment methods, and the fusion of SVMs with deep learning to address contemporary challenges. Isabelle Guyon's LinkedIn: https://www.linkedin.com/in/isabelle-guyon-aa371170 Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview (00:52) Introduction and MindStudio by YouAi (04:55) Machine Learning Techniques (15:15) Classification Methods in Biomedical Applications (22:40) Support Vector Machines and Kernel Methods (36:45) Future of Chatbots and Language Models (41:08) Unsupervised Learning in Deep Learning Importance (45:53) Outro and MindStudio by YouAi

This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. It's the leading commerce platform designed for a business of any size. 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 On episode #139 of Eye on AI , Craig Smith sits down with Dmitry Shapiro, Founder of YouAi and CEO of GoMeta. Dmitry Shapiro is no stranger to the tech industry. With an impressive track record, he has made significant contributions to companies like Google, MySpace, and now, he's leading the charge at YouAi. We start by exploring the groundbreaking concept behind YouAi, a company poised to revolutionize how we interact with artificial intelligence. Education and content generation are domains where AI's potential can be unleashed in a transformative way. Dmitri reveals how AI could serve as a personal 'mind reader', bridging knowledge gaps and personalizing education like never before. The spotlight then turns to Mind Studio, YouAi's ingenious tool that empowers users to create AI models without coding. Dmitry also unveils AI tools that simplify parenting. As we near the end of our conversation, we revisit the concept of mind indexing and explore AI assistants, recommendation systems, and the power of asking questions to decode ambiguity. Dmitry Shapiro LinkedIn: https://www.linkedin.com/in/dmitry-shapiro-a2b1 Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (02:00) Shopify (04:11) Dmitry Shapiro's Early Career (11:29) AI in Education? (18:20) AI's Role in Content Creation (25:24) Customizing AI Applications (36:26) Leveraging The Right LLMs (44:54) AI Assistants Explained (53:22) What is Mind Indexing? (56:19) Shopify

This episode is sponsored by MindStudio by YouAi. MindStudio is the best way to build an AI business. Start driving some serious revenue before everyone else. Mind Studio allows you to use conversational language to program incredibly powerful AI tools. No coding knowledge is needed to start your AI business. Sign up now- https://youai.ai/mindstudio On episode #138 of Eye on AI. Craig Smith sits down with Dan O'Connell, the Chief AI and Strategy Officer at Dialpad and a seasoned expert in the world of AI-driven business communications. Check out Dialpad- https://www.dialpad.com/ Currently serving as a member of Dialpad's Board of Directors, Dan's impressive career includes leadership roles at TalkIQ, AdRoll, and an 8-year stint at Google in key sales positions. During our conversation, Dan takes us through Dialpad's AI-driven transformation of business communication. We explore the power of natural language processing, speech recognition, and large language models, enabling real-time transcription, call summaries, sentiment analysis, and virtual agents. We also delve into the significance of sentiment analysis and the role of context, alongside debates on third-party APIs versus proprietary models, AI's unpredictability, and domain-specific model economics. Our exploration continues with AI's impact on CRM, generative AI's insights, chatbot evolution, and cost-effective AI management. Tune in to explore AIs impact on modern day business communication. Dan O'Connell's LinkedIn: https://www.linkedin.com/in/droconnell/ Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (01:33) Mind Studio by YouAI (03:46) Artificial Intelligence in Business Communications (10:54) Building Sentiment Analysis and Custom Models (19:35) Managing Costs and using AI in Business (23:47) AI Disrupts CRM Market? (30:56) Mind Studio by YouAI