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 #141 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

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 #137 of Eye on AI, we dive deep into the world of data storage and its connection to AI. Join host Craig Smith as we unravel valuable insights shared by Raul Martynek, CEO of Data Bank, and explore the evolving landscape of data centers and their pivotal role in powering AI-driven innovations. In this episode we discuss the history and significance of data centers, from their humble beginnings to their crucial role in today's data-driven world. Uncover how AI is driving the surging demand for data center capacity and the challenges the industry faces, including the impact of inflation and supply chain disruptions. We talk about China's ambitious plans to bolster its semiconductor industry and its implications for data center growth. We also delve into the critical issue of power consumption driven by AI and its effects on global power grids Join us for a thought-provoking discussion on the future of data centers and its synergy with AI.   Raul Martynek's LinkedIn: https://www.linkedin.com/in/raulmartynek Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Preview and Introduction (01:43) Netsuite by Oracle (06:10) Growing Demands for Data Centers (12:35) Data Centres Before AI (24:08) Industry Challenges and Market Trends (29:20) AI’s Impact on Power Consumption  (36:00) Future of Databank (40:20) AIs Impact on Data Centers (44:34) Podcast Wrap-Up and Netsuite by Oracle

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 #136 of the Eye on AI podcast, Craig Smith sits down with Mike Knoop, Co Founder of Zapier, a tool that simplifies workflows by connecting various apps and services, making automation accessible to a wide range of users. In this episode, we dive deep into Mike's journey, from his early engineering days to building Zapier into a $5 Billion Dollar business. Zapier's capabilities have breached boundaries beyond just business process automation. Mike also shares heartening stories of it being used to prototype products and even kickstart businesses. Discover how they managed to carve out a niche in the mid-market and growth stages, all while sticking to their low-cost user acquisition model.We also explore the revolution of language models in automating workflows and the transformative power of turning unstructured data into structured gems. In the final segment, we navigate the competitive landscape for startups, shedding light on the unique struggles faced by AI startups and offering insights on how to make your mark amidst the giants. We also discuss the impact of AI on the market and how consumers can make sense of the plethora of AI offerings. It's a conversation packed with invaluable insights on AI, automation, and business. Don't miss this chance to learn from an industry leader!   Mike Knoop’s LinkedIn: https://www.linkedin.com/in/mikeknoop Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   00:00 Preview 00:57 Introduction 01:38 MindStudio by YouAi 03:06 Mike’s Journey from Engineering to Zapier 10:35 Finding Market Fit for AI Tools 15:32 Integration of Language Models in Automation 22:48 How Does Zapier Leverage AI? 30:51 UI Roadmaps and Zapier's Evolving Market 35:01 Zapier’s Challenges and Competitors 40:16 Innovation and Differentiation in Startups 44:32 Rise in AI Startups 48:59 MindStudio by YouAi

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 - YOUAI.AI/mindstudio On episode #135 of the Eye on AI podcast, Craig Smith sits down with Diaa El All, founder and CEO of Soundful, an AI tool that generates royalty free background music at the click of a button for your videos, streams, podcasts and more. From its integration with natural language processing to major industry partnerships, Soundful is paving the way for creators to not just produce, but also to monetize their content without worrying about being copyright striked. As we venture into the future of music production and licensing, we question the impact of AI on the music industry and what it means on the business side as well. We breakdown how AI can enable musicians to boost their creativity by drawing inspiration from generative AI music. Finally, we delve into the debate surrounding the role of imperfections in crafting a successful song. Imperfections have long been considered an integral part of what makes music human and relatable. Is perfection still the goal, or is there room for quirks and idiosyncrasies in AI-generated music? Tune in as we unravel the transformative power of AI in reshaping the music industry and propelling its evolution.   Diaa El All LinkedIn: https://www.linkedin.com/in/diaaelall/ Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Preview and Introduction (01:36) MindStudio by YouAI (03:53) Soundful’s Origin Story (06:25) Can Creators Benefit From AI Music? (16:24) Who uses Soundful? (25:50) Future of Music Production and Licensing (33:16) How AI Creates Music (37:15) 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 shopify.com/eyeonai   On episode #134 of the Eye on AI podcast, Craig Smith sits down with  Alex Zhavoronkov, founder and CEO of Insilico Medicine. Being at the forefront of cutting-edge drug discovery and longevity, Alex leverages the power of AI to develop novel drugs that could potentially extend our lifespan.  In this episode we explore the unique tools Insilico Medicine uses to hypothesize protein targets and their links to diseases. Alex also gives us a peek into their automated robotic lab in Suzhou, China, which is expected to revolutionize drug development.  We delve deep into the world of drug discovery, with a special focus on Insilico Medicine’s tools, Pandomics, and Chemistry42, that are reshaping the field. Yet beyond the science, we also discuss the broader implications of tackling aging - from overpopulation to the strain on healthcare and social security systems. Finally, we tackle the elephant in the room - the challenges in the pharmaceutical industry. Can AI expedite the drug discovery process? Alex certainly thinks so. We explore how AI can help identify partners quickly, streamline processes, and ultimately accelerate the development of drugs.  Join us as we unravel these mysteries and take you through the fascinating world of biotech, AI, and pharmaceutical research.   (0:00) Preview (01:36) Shopify (04:26) AI's Revolutionizing Drug Discovery (06:11) Inside AI Pharmaceutical Research (12:23) Use of AI tools in Medicine (19:56) Biotech Synergy: Collaborative Exploration and Target Discovery (37:17) Decoding Aging with AI (46:52) Aging, Overpopulation, and Drug Breakthroughs (1:07:33) Pharmaceutical Industry Challenges (1:20:42) How AI is Advancing Longevity through Medicine    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 NetSuite.com/EYEONAI. On episode #133 of the Eye on AI podcast, Craig Smith sits down with Michael Jordan. A revered scientist and distinguished professor at the University of California, Berkeley, Michael’s expertise spans machine learning, statistics, and artificial intelligence. In this episode we explore the intricate landscape of deep learning, its statistical bedrock, and the myriad applications of machine learning methods. We dig deeper into the cloud computing revolution, ignited by deep learning, which has empowered behemoths like Amazon to streamline their logistics and commerce data. The dialogue continues as we uncover the trends in deep learning, its role in the grand scheme of AI, and the persisting challenges in the domain. We conclude by contemplating the repercussions of AI and optimization in complex systems. We examine its historical roots in the mid-20th century, its potential to replace jobs, and its application in various sectors such as financial markets, healthcare, and education. (00:00) Preview (01:00) Introduction (01:36) NetSuite by Oracle (03:53) Deep Learning Advancements in AI (12:56) AI Optimization in Complex Systems (28:53) Future of Machine Learning in Healthcare (39:45) Privacy and Value in Multi-Agent Learning (54:48) Learning Systems, Avatars, and Music Business (1:02:20) Single Source of Truth for Business Owners (1:04:28) NetSuite by Oracle Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI  

On episode #132 of the Eye on AI podcast, Craig Smith sits down with Scott Downes, Chief Technology Officer at Invisible Technologies. We crack open the fascinating world of large language models (LLMs). What are the unique ways LLMs can revolutionize text cleanup, product classification, and more? Scott unpacks the power of technology like Reinforcement Learning for Human Feedback (RLHF) that expands the horizons of data collection. This podcast is a thorough analysis of the world of language and meaning. How does language encode meaning? Can RLHF be the panacea for complex conundrums? Scott breaks down his vision about using RLHF to redefine problem-solving. We dive into the vexing concept of teaching a language model through reinforcement learning without a world model. We discuss the future of the human workforce in AI, hear Scott’s insights on the potential shift from labellers to RLHF workers. What implications does this shift hold? Can AI elevate people to work on more complicated tasks? From exploring the economic pressure companies face to the potential for increased productivity from AI, we break down the future of work. (00:00) Preview and introduction  (01:33) Generative AI’s Dirty Little Secret (17:33) Large Language Models in Problem Solving (23:24) Large Language Models and RLHF Challenges (30:07) Teaching Language Models Through RLHF(35:35) Language Models’ Power and Potential(53:00) Future of Human Workforce in AI(1:03:10) AI Changing Your World Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI  

Welcome to episode #131 of the Eye on AI podcast with Andrew Ng. Get ready to challenge your perspectives as we sit down with Andrew Ng. We navigate the widely disputed topic of AI as a potential existential threat, with Andrew assuring us that, with time and global cooperation, safety measures can be built to prevent disaster.  He offers insight into the debates surrounding the harm AI might cause, including the notions of AI as a bio-weapon and the notorious ‘paper clip argument’. Listen as Andrew debunks these theories, delivering an interesting argument for why he believes the associated risks are minimal.Onwards, we venture into the intriguing realm of AI’s capability to understand the world, setting the stage for a conversation on how we can objectively assess their comprehension. We explore the safety measures of AI, drawing parallels with the rigour of the aviation industry, and contemplate on the consensus within the research community regarding the danger posed by AI. (00:00) Preview (01:08) Introduction (02:15) Existential risk of artificial intelligence (05:50) Aviation analogy with artificial intelligence (10:00) The threat of AI & deep learning   (13:15) Lack of consensus in AI dangers  (18:00) How AI can solve climate change (24:00) Landing AI and Andrew Ng (27:30) Visual prompting for images Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI Our sponsor for this episode is Masterworks, an art investing platform. They buy the art outright, from contemporary masters like Picasso and Banksy, then qualify it with the SEC, and offer it as an investment. Net proceeds from its sale are distributed to its investors. Since their inception, they have sold over $45 million dollars worth of artwork And so far, each of Masterworks’ exits have returned positive net returns to their investors. Masterworks has over 750,000 users, and their art offerings usually sell out in hours, which is why they’ve had to make a waitlist. But Eye on AI viewers can skip the line and get priority access right now by clicking this link: https://www.masterworks.art/eyeonai Purchase shares in great masterpieces from artists like Pablo Picasso, Banksy, Andy Warhol, and more. See important Masterworks disclosures: https://www.masterworks.com/cd “Net Return" refers to the annualized internal rate of return net of all fees and costs, calculated from the offering closing date to the date the sale is consummated. IRR may not be indicative of Masterworks paintings not yet sold and past performance is not indicative of future results. Returns shown are 4 examples of midrange returns selected to demonstrate Masterworks performance history. Returns may be higher or lower. Investing involves risk, including loss of principal.  

Welcome to episode #130 of Eye on AI with Mathew Lodge. In this episode, we explore the world of reinforcement learning and code generation. Mathew Lodge, the CEO of Diffblue, shares insights into how reinforcement learning fuels generative AI. As we explore the intricacies of reinforcement learning, we uncover its potential in game playing and guiding us towards solutions. We shed light on the products that it powers, such as AlphaGo and AlphaDev. However, we also address the challenges of large language models and explain why they may not be the ultimate solution for code generation. In the last part of our conversation, we delve into the future of language models and intelligence. Mathew shares valuable insights on merging no-code and low-code solutions. We confront the skepticism of software developers towards AI for code products and the task of articulating program outcomes. Wrapping up, we reflect on the evolution of programming languages and the impact of abstraction on machine learning. (00:00) Preview & sponsorship (01:51) Reinforcement Learning and Code Generation (04:39) Reinforcement Learning and Improving Algorithms (15:32) The Challenges of Large Language Models(23:58) Future of Language Models and Intelligence (35:50) Challenges and Potential of AI-generated Code (48:32) Programming Language Evolution and Higher-Level Languages Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   

Welcome to episode #129 of Eye on AI with Alexandra Geese. Navigating the complex waters of the European Union’s AI Act is no simple task. Yet, that’s exactly what Alexandra Geese, a member of the European Parliament, and I venture to do in this conversation. Alexandra’s insights into the AI Act, its four defined categories of AI applications, and its current negotiation phase with the European Council and the European Commission are illuminating. We delve into the Act’s essential mission: ensuring AI serves humanity, while also exploring the influence of powerful players in the AI industry on the EU’s legislation. As our journey deepens, we tackle a range of crucial issues underpinning the Act. Alexandra and navigate through potential economic implications for those who rely on copyright legislation, and the risk of Europe falling behind in AI implementation if the Act is too restrictive. We also touch on the involvement of major American AI firms in the Act’s finalization process, and implications for copyrighted material. We dive into the ongoing debates shaping the legislation and the enforcement of the law, once passed. Alexandra shares her thoughts on potential fines for violations, different AI zones, and the possibility of the US following Europe’s lead in AI legislation. We wrap up with a deep reflection on the environmental impact of AI, the power held by few companies, and our collective responsibility as AI reshapes the world.   (00:00) Preview (00:52) Introduction   (03:10) Alexandra Geese background in digital legislation (04:00) The AI act: the explanation and details   (08:00) The foundations of corporations for AI regulation (13:00) Copyright regulation and impacts of creativity    (17:00) We need AI that serves humanity   (21:30) Are foundation models high risk to society?   (25:00) Should people be worried about investing in AI? (30:45) What is dynamic AI regulation? (36:10) What is the timeline for AI regulation?  (38:50) What penalties will be applied to AI regulation? (44:30) Will US & EU merge on AI regulation? (50:30) How to solve AI hallucinations     Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   Found is a show about founders and company-building that features the change-makers and innovators who are actually doing the work. Each week, TechCrunch Plus reporters, Becca Szkutak and Dom-Madori Davis talk with a founder about what it’s really like to build and run a company—from ideation to launch. They talk to founders across many industries and their conversations often lead back to AI as many startups start to implement AI into what they do. New episodes of Found are published every Tuesday and you can find them wherever you listen to podcasts. Found podcast: https://podlink.com/found

Yoshua Bengio, the legendary AI expert, will join us for Episode 128 of Eye on AI podcast. In this episode, we delve into the unnerving question: Could the rise of a superhuman AI signal the downfall of humanity as we know it? Join us as we embark on an exploration of the existential threat posed by superhuman AI, leaving no stone unturned. We dissect the Future of Life Institute’s role in overseeing large language model development. As well as the sobering warnings issued by the Centre for AI Safety regarding artificial general intelligence. The stakes have never been higher, and we uncover the pressing need for action. Prepare to confront the disconcerting notion of society’s gradual disempowerment and an ever-increasing dependency on AI. We shed light on the challenges of extricating ourselves from this intricate web, where pulling the plug on AI seems almost impossible. Brace yourself for a thought-provoking discussion on the potential psychological effects of realizing that our relentless pursuit of AI advancement may inadvertently jeopardize humanity itself. In this episode, we dare to imagine a future where deep learning amplifies system-2 capabilities, forcing us to develop countermeasures and regulations to mitigate associated risks. We grapple with the possibility of leveraging AI to combat climate change, while treading carefully to prevent catastrophic outcomes. But that’s not all. We confront the notion of AI systems acting autonomously, highlighting the critical importance of stringent regulation surrounding their access and usage.   (00:00) Preview (00:42) Introduction (03:30) Yoshua Bengio's essay on AI extinction   (09:45) Use cases for dangerous uses of AI   (12:00) Why are AI risks only happening now? (17:50) Extinction threat and fear with AI & climate change (21:10) Super intelligence and the concerns for humanity (15:02) Yoshua Bengio research in AI safety (29:50) Are corporations a form of artificial intelligence? (31:15) Extinction scenarios by Yoshua Bengio (37:00) AI agency and AI regulation (40:15) Who controls AI for the general public? (45:11) The AI debate in the world     Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Welcome to Episode 127 of the Eye on AI podcast with host Craig Smith and guest Clemens Mewald. In this episode, we dive into the world of AI and its transformative impact on industries. Join us as we explore Instabase, the cutting-edge company led by our guest, a seasoned engineer with an impressive background at Google Brain, Databricks, and now Instabase. Discover how Instabase is revolutionizing automation and content capture across various organizations using AI-driven methods. Uncover the mission behind Instabase and delve into the intricate details of AI Hub, a groundbreaking marketplace for AI models and products. We explore the limitations of model repositories and marketplaces, particularly in large-scale applications. As we compare AI Hub with the AWS Marketplace, we touch upon the abundance of low-code app development solutions in the market, highlighting Accio’s rich SaaS offerings and generative AI apps as an industry benchmark. No discussion about AI would be complete without delving into the potential of GPT-4, a powerful language model capable of accurately predicting task outcomes. Join us on this ride as we uncover the heart of AI, its revolutionary applications, and its transformative power across industries. (00:00) Preview (00:38) Introduction (01:22) Clemens background and Google Brain  (02:44) Instabase and solving unstructured data problems (07:40) How Instabase works and different use cases  (13:20) The long term vision of the AI Hub (17:12) Blockchain based marketplace for AI models  (21:50) AWS Marketplace compared to Instabase  (24:05) Generative AI and no code web apps  (31:05) Biggest concerns of using Open AI for security   (35:40) Considerations of use cases of GPT4  (40:00) LLMs acting as knowledge and reasoning engines  (46:40) Using different AI models based on different tasks  (51:00) Leveraging other AI models for compatibility  (54:14) How to get people to start using Instabase Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI  

Welcome to episode #126 of Eye on AI with Craig Smith and Noam Chomsky. Are neural nets the key to understanding the human brain and language acquisition? In this conversation with renowned linguist and cognitive scientist Noam Chomsky, we delve into the limitations of large language models and the ongoing quest to uncover the mysteries of the human mind. Together, we explore the historical development of research in this field, from Minsky’s thesis to Jeff Hinton’s goals for understanding the brain. We also discuss the potential harms and benefits of large language models, comparing them to the internal combustion engine and its differences from a gazelle running. We tackle the difficult task of studying the neurophysiology of human cognition and the ethical implications of invasive experiments. As we consider language as a natural object, we discuss the works of notable figures such as Albert Einstein, Galileo, Leibniz, and Turing, and the similarities between language and biology. We even entertain the possibility of extraterrestrial language and communication. Join us on this thought-provoking journey as we explore the intricacies of language, the brain, and our place in the cosmos. (00:00) Preview (00:43) Introduction (01:54) Noam Chomsky’s neural net ideology & criticisms  (6:58) Jeff Hinton & Noam Chomsky’s: How the brain works (10:05) Correlation between neural nets and the brain (11:11) Noam Chomsky’s reaction to Chat-GPT & LLMs (15:21) Exploring the mechanisms of the brain (19:00) What do we learn from chatbots? (22:30) What are impossible languages? (26:45) Generative AI doesn’t show true intelligence? (28:40) Is there a danger of AI becoming too intelligent? (31:30) Can AI language models become sentient? (36:40) Turing machine and neural nets experimentations (42:40) Non-evasive procedures for understanding the brain (45:54) Does Noam Chomsky still work on understanding the brain? (49:33) Is Noam Chomsky excited about the future of neural nets? (55:30) Albert Einstein and Galileo’s principles (55:40) Is there an extraterrestrial language model? Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Welcome to episode #124 of the Eye on AI podcast, where we bring you the latest insights into the fascinating world of artificial intelligence. In this episode, Craig Smith is joined by Sina Kian, General Counsel and COO at Aleo, as they dive deep into the revolutionary realm of zero-knowledge proofs. Join us as we explore the incredible potential of zero-knowledge proofs in safeguarding sensitive data while leveraging it for machine learning and AI applications. Sina Kian provides shares how this innovative technology can reshape privacy, digital identity, and even social media authentication. During this conversation, we delve into the power of privacy-preserving blockchain technology and its far-reaching impact across industries. Discover how Aleo is at the forefront of making digital identity more secure and how it can be seamlessly integrated across platforms without compromising sensitive information. We examine the future of machine learning and AI, unraveling the role that digital identity plays in accessing products and content based on location. As we venture into the depths of the social media landscape, we also explore the risks and rewards associated with user data and privacy. Gain insights into how privacy-preserving technology can shield user information and authenticate data and content without compromising privacy. This conversation will discusses the potential of zero-knowledge proofs and privacy-preserving technology, offering a glimpse into how they will shape the future of machine learning and AI. (00:00) Preview (00:41) Introduction (02:28) Sina Kian's background in Aleo & blockchain   (05:49) Blockchain's integration with AI & machine learning (11:48) How data is protected in blockchain technology (12:25) Use cases of encryption with Aleo (18:53) How Aleo works with an open source protocol (24:13) Aleo's progress in developing its open source project (31:13) Why social media platforms capture your data (34:16) How can you find widespread adoption? (35:43) How the government are getting involved in digital identity (41:53) How data privacy integrates to Web 3.0 (45:15) Blockchain's implementation in the real world (48:43) Next steps from Aleo (53:53) Social media interaction with privacy    Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI  

Welcome to Eye on AI, the podcast that keeps you informed about the latest trends, obstacles, and possibilities in the realm of artificial intelligence. In this episode, we have the privilege of engaging in a thought-provoking discussion with Aidan Gomez, an exceptional AI developer and co-founder of Cohere. Aidan’s passion lies in enhancing the efficiency of massive neural networks and effectively deploying them in the real world. Drawing from his vast experience, which includes leading a team of researchers at For.ai and conducting groundbreaking research at Google Brain, Aidan provides us with unique insights and anecdotes that shed light on the AI landscape. During our conversation, Aidan explains his collaboration with the legendary Geoffrey Hinton and their remarkable project at Google Brain. We delve into the intricate architecture of AI systems, demystifying the construction of the transformative transformer algorithm. Aidan generously shares his knowledge on the creation of attention within these models and the complexities of scaling such systems. As we explore the fascinating domain of language models, Aidan discusses their learning process, bridging the gap between code and data. We uncover the immense potential of these models to suggest other large-scale counterparts. We gain invaluable insights into Aidan’s journey as a co-founder of Cohere, an innovative platform revolutionizing the utilization of language technology. Tune in to Eye on AI now to immerse yourself in a captivating conversation that will expand your understanding of this ever-develop field. (00:00) Preview (00:33) Introduction & sponsorship  (02:00) Aidan's background with machine learning & AI (05:10) Geoffrey Hinton & Aidan Gomez working together  (07:55) Aidan Gomez & Google Brain's project  (12:53) Aidan's role in building AI architecture  (15:25) How the transformer algorithm is built (18:25) How do you create attention? (20:40) How do you scale the model? (25:10) How language models learn from code and data (29:55) Did you know the potential of the project? (34:15) Can LLMs suggest other large models? (36:45) How Aidan Gomez started Cohere (41:10) How do people use Cohere? (46:50) Examples of language technology models  (48:40) How Cohere handles hallucinations (52:53) The dangers of AI   Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Welcome to Eye on AI, the podcast that explores the latest developments, challenges, and opportunities in the world of artificial intelligence. In this episode, we sit down with Connor Leahy, an AI researcher and co-founder of EleutherAI, to discuss the darker side of AI. Connor shares his insights on the current negative trajectory of AI, the challenges of keeping superintelligence in a sandbox, and the potential negative implications of large language models such as GPT4. He also discusses the problem of releasing AI to the public and the need for regulatory intervention to ensure alignment with human values. Throughout the podcast, Connor highlights the work of Conjecture, a project focused on advancing alignment in AI, and shares his perspectives on the stages of research and development of this critical issue. If you’re interested in understanding the ethical and social implications of AI and the efforts to ensure alignment with human values, this podcast is for you. So join us as we delve into the darker side of AI with Connor Leahy on Eye on AI. (00:00) Preview (00:48) Connor Leahy’s background with EleutherAI & Conjecture   (03:05) Large language models applications with EleutherAI (06:51) The current negative trajectory of AI  (08:46) How difficult is keeping super intelligence in a sandbox? (12:35) How AutoGPT uses ChatGPT to run autonomously  (15:15) How GPT4 can be used out of context & negatively  (19:30) How OpenAI gives access to nefarious activities  (26:39) The problem with the race for AGI  (28:51) The goal of Conjecture and advancing alignment  (31:04) The problem with releasing AI to the public  (33:35) FTC complaint & government intervention in AI  (38:13) Technical implementation to fix the alignment issue  (44:34) How CoEm is fixing the alignment issue   (53:30) Stages of research and development of Conjecture   Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

This week, I talk to Sergey Levine, one of the most prolific researchers in robot learning. We talked about developing a robot’s sense of touch and about robot dreams and whether he believes we know what’s happening in the field in Russia and China.