Eye On A.I. (Craig S. Smith)
Explore every episode of Eye On A.I.
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| 08 Sep 2022 | AUTOMATED CODE GENERATION | 00:29:08 | |
Peter Schrammel, one of the founders of Diffblue, an automated unit-test writing software company, speaks about the increasing automatic generation of code and how he sees such automation increasing the productivity of developers. | |||
| 12 Nov 2023 | #153 Ed Anuff: Unpacking AI's Role in Data Management | 00:59:05 | |
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.
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
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| 29 Dec 2023 | #162 Vasi Philomin: Behind the Scenes of Amazon's AI Breakthroughs | 00:39:22 | |
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
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| 22 Feb 2024 | #170 Richard Sutton on Pursuing AGI Through Reinforcement Learning | 00:55:33 | |
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?
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| 15 Sep 2024 | #207 Noa Srebrnik: How to Mitigate AI Risk in High-Stakes Industries | 00:47:23 | |
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, Craig Smith sits down with Noa Srebrnik from Citrusx to explore how AI is transforming risk management and compliance in high-risk industries like finance and insurance.
With a background spanning regulation, risk, and technology, Noa guides us through Citrusx’s innovative approach to enabling organizations to leverage AI responsibly while adhering to complex regulatory environments.
We dive deep into Citrusx’s AI platform, designed to validate, monitor, and explain AI models, ensuring transparency, fairness, and compliance. Noa explains how their proprietary synthetic data technology identifies hidden risks, allowing companies to confidently scale AI solutions across different use cases without compromising governance.
We also discuss the evolving regulatory landscape, including the challenges of navigating fragmented AI regulations in the U.S. and the EU AI Act’s influence on high-risk sectors.
Join us as we uncover how AI can drive innovation while maintaining regulatory accountability and why risk management is crucial for the future of AI in finance and beyond.
Don’t forget to like, subscribe, and hit the notification bell for more in-depth discussions on AI, regulation, and risk management!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI | |||
| 13 Oct 2021 | Cerebras | 00:34:22 | |
Andrew Feldman, one of the founders and CEO of Cerebras Systems, talks about the company's wafer-scale computer chip optimized for machine learning and about the network of chips that company has built that has as much computing power as a human brain. | |||
| 16 Mar 2022 | Protein Annotation at Google | 00:27:48 | |
Max Bileschi, a software engineer at Google Research, talks about his team’s application of convolutional neural networks to predict the function of amino acid sequences in a protein. Eye on AI is sponsored by Clear.ML. | |||
| 16 Sep 2020 | Great Power Competition in the Digital Age with Gilman Louie | 00:33:16 | |
NSCAI commissioner Gilman Louie talks about great power competition in the digital age and the US need for a more technologically literate diplomatic core to counter China's increasing diplomatic efforts on the technology front. | |||
| 30 Sep 2020 | Turing Award Winner David Patterson - CPUs to GPUs to TPUs and Beyond | 00:50:12 | |
Turing Award winner David Patterson talks about the end of Moore's law and the evolution of computer chips from general purpose CPUs to GPUs to the recent Cambrian explosion of specialized AI chips, including Google's TPU, in the first episode of five about the machine-learning model-development pipeline with Ameet Talwalkar, co-founder of Determined AI, an open-source platform for ML model development. | |||
| 04 Mar 2020 | Episode 33 - Justin Gottschlich | 00:47:08 | |
Justin Gottschlich, who founded the machine programming research group at Intel Labs, explains his group's efforts to automate software development. The ambition is to make it possible for anybody to create software simply by describing what they intend the software to do. | |||
| 17 Apr 2025 | #248 Pedro Domingos: How Connectionism Is Reshaping the Future of Machine Learning | 00:59:56 | |
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In this episode, renowned AI researcher Pedro Domingos, author of The Master Algorithm, takes us deep into the world of Connectionism—the AI tribe behind neural networks and the deep learning revolution.
From the birth of neural networks in the 1940s to the explosive rise of transformers and ChatGPT, Pedro unpacks the history, breakthroughs, and limitations of connectionist AI. Along the way, he explores how supervised learning continues to quietly power today’s most impressive AI systems—and why reinforcement learning and unsupervised learning are still lagging behind.
We also dive into:
Whether you're an AI enthusiast, a machine learning practitioner, or just curious about where intelligence is headed, this episode offers a rare deep dive into the ideological foundations of AI—and what’s coming next.
Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
(00:00) What Are Generative Models? (03:02) AI Progress and the Local Optimum Trap (06:30) The Five Tribes of AI and Why They Matter (09:07) The Rise of Connectionism (11:14) Rosenblatt’s Perceptron and the First AI Hype Cycle (13:35) Backpropagation: The Algorithm That Changed Everything (19:39) How Backpropagation Actually Works (21:22) AlexNet and the Deep Learning Boom (23:22) Why the Vision Community Resisted Neural Nets (25:39) The Expansion of Deep Learning (28:48) NetTalk and the Baby Steps of Neural Speech (31:24) How Transformers (and Attention) Transformed AI (34:36) Why Attention Solved the Bottleneck in Translation (35:24) The Untold Story of Transformer Invention (38:35) LSTMs vs. Attention: Solving the Vanishing Gradient Problem (42:29) GANs: The Evolutionary Arms Race in AI (48:53) Reinforcement Learning Explained (52:46) Why RL Is Mostly Just Supervised Learning in Disguise (54:35) Where AI Research Should Go Next
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| 29 Sep 2021 | Adobe and AI | 00:40:04 | |
Adobe’s head of research, Gavin Miller, talks about AI-enhanced creativity, guarding against manipulation of visual media and his own AI-enabled robot snakes. | |||
| 28 Jul 2022 | VITAL & MINT | 00:41:08 | |
Aaron Patzer, founder of the personal finance app MINT and more recently founder of the AI-based healthcare company Vital, talks about keeping customer data private and the promise, giving emergency room patients information with AI and finding friendly solutions to anxiety-producing problems. | |||
| 12 Mar 2025 | #242 Dylan Arena: The AI Education Revolution: How AI is Changing the Way We Learn | 00:57:58 | |
This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking. Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience. | |||
| 09 Feb 2025 | #236 Pedro Domingo’s on Bayesians and Analogical Learning in AI | 00:56:43 | |
This episode is sponsored by Thuma. Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details. To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
In this episode of the Eye on AI podcast, Pedro Domingos, renowned AI researcher and author of The Master Algorithm, joins Craig Smith to explore the evolution of machine learning, the resurgence of Bayesian AI, and the future of artificial intelligence. Pedro unpacks the ongoing battle between Bayesian and Frequentist approaches, explaining why probability is one of the most misunderstood concepts in AI. He delves into Bayesian networks, their role in AI decision-making, and how they powered Google’s ad system before deep learning. We also discuss how Bayesian learning is still outperforming humans in medical diagnosis, search & rescue, and predictive modeling, despite its computational challenges. The conversation shifts to deep learning’s limitations, with Pedro revealing how neural networks might be just a disguised form of nearest-neighbor learning. He challenges conventional wisdom on AGI, AI regulation, and the scalability of deep learning, offering insights into why Bayesian reasoning and analogical learning might be the future of AI. We also dive into analogical learning—a field championed by Douglas Hofstadter—exploring its impact on pattern recognition, case-based reasoning, and support vector machines (SVMs). Pedro highlights how AI has cycled through different paradigms, from symbolic AI in the '80s to SVMs in the 2000s, and why the next big breakthrough may not come from neural networks at all. From theoretical AI debates to real-world applications, this episode offers a deep dive into the science behind AI learning methods, their limitations, and what’s next for machine intelligence. Don’t forget to like, subscribe, and hit the notification bell for more expert discussions on AI, technology, and the future of innovation!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction (02:55) The Five Tribes of Machine Learning Explained (06:34) Bayesian vs. Frequentist: The Probability Debate (08:27) What is Bayes' Theorem & How AI Uses It (12:46) The Power & Limitations of Bayesian Networks (16:43) How Bayesian Inference Works in AI (18:56) The Rise & Fall of Bayesian Machine Learning (20:31) Bayesian AI in Medical Diagnosis & Search and Rescue (25:07) How Google Used Bayesian Networks for Ads (28:56) The Role of Uncertainty in AI Decision-Making (30:34) Why Bayesian Learning is Computationally Hard (34:18) Analogical Learning – The Overlooked AI Paradigm (38:09) Support Vector Machines vs. Neural Networks (41:29) How SVMs Once Dominated Machine Learning (45:30) The Future of AI – Bayesian, Neural, or Hybrid? (50:38) Where AI is Heading Next
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| 23 Jun 2022 | Amazon's Astro | 00:21:27 | |
Ken Washington, who leads Amazon's consumer robotics team, talks about the company's compact wheeled robot called Astro. Ken talked about Astro's evolution, it's popular and possible use cases, and what might be in store in the future.
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| 04 Dec 2024 | #223 Kai Beckmann: Why Next-Gen Chips Are Critical for AI’s Future | 00:44:39 | |
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, we explore the cutting-edge world of semiconductor innovation and its role in the future of artificial intelligence with Kai Beckmann, CEO of Merck KGaA.
Kai takes us on a journey into the heart of semiconductor manufacturing, revealing how next-generation chips are driving the AI revolution. From the complex process of creating advanced chips to the increasing demands of AI on semiconductor technology, Kai shares how Merck is pioneering materials science to unlock unprecedented levels of computational power.
Throughout the conversation, Kai explains how AI’s growth is reshaping the semiconductor industry, with innovations like edge AI, heterogeneous integration, and 3D chip architectures pushing the boundaries of performance. He highlights how Merck is using artificial intelligence to accelerate material discovery, reduce experimentation cycles, and create smarter, more efficient processes for the chips that power everything from smartphones to data centers.
Kai also delves into the global landscape of semiconductor manufacturing, discussing the challenges of supply chains, the cyclical nature of the industry, and the rapid technological advancements needed to meet AI’s demands. He explains why the semiconductor sector is entering the "Age of Materials," where breakthroughs in materials science are enabling the next wave of AI-driven devices.
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Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction (02:48) Merck KGaA (05:21) Foundations of Semiconductor Manufacturing (07:57) How Chips Are Made (09:24) Exploring Materials Science (13:59) Growth and Trends in the Semiconductor Industry (15:44) Semiconductor Manufacturing (17:34) AI’s Growing Demands on Semiconductor Tech (20:34) The Future of Edge AI (22:10) Using AI to Disrupt Material Discovery (24:58) How AI Accelerates Innovation in Semiconductors (27:32) Evolution of Semiconductor Fabrication Processes (30:08) Advanced Techniques: Chiplets, 3D Stacking, and Beyond (32:29) Merck’s Role in Global Semiconductor Innovation (34:03) Major Markets for Semiconductor Manufacturing (37:18) Challenges in Reducing Latency and Energy Consumption (40:21) Exploring New Conductive Materials for Efficiency
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| 01 Jan 2025 | #228 Rodrigo Liang: How SambaNova Systems Is Disrupting AI Inference | 00:23:54 | |
This episode is sponsored by RapidSOS. Close the safety gap and transform your emergency response with RapidSOS.
Visit https://rapidsos.com/eyeonai/ today to learn how AI-powered safety can protect your people and boost your bottom line.
In this episode of the Eye on AI podcast, we explore the world of AI inference technology with Rodrigo Liang, co-founder and CEO of SambaNova Systems.
Rodrigo shares his journey from high-performance chip design to building SambaNova, a company revolutionizing how enterprises leverage AI through scalable, power-efficient solutions. We dive into SambaNova’s groundbreaking achievements, including their record-breaking inference models, the Lama 405B and 70B, which deliver unparalleled speed and accuracy—all on a single rack consuming less than 10 kilowatts of power.
Throughout the conversation, Rodrigo highlights the seismic shift from AI training to inference, explaining why production AI is now about speed, efficiency, and real-time applications. He details SambaNova’s approach to open-source models, modular deployment, and multi-tenancy, enabling enterprises to scale AI without costly infrastructure overhauls.
We also discuss the competitive landscape of AI hardware, the challenges of NVIDIA’s dominance, and how SambaNova is paving the way for a new era of AI innovation. Rodrigo explains the critical importance of power efficiency and how SambaNova’s technology is unlocking opportunities for enterprises to deploy private, secure AI systems on-premises and in the cloud.
Discover how SambaNova is redefining AI for enterprise adoption, enabling real-time AI, and setting new standards in efficiency and scalability.
Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs in AI, technology, and enterprise innovation!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI | |||
| 13 Jan 2025 | #230 Jamie Lerner: How Quantum Solves AI’s Need for Unstructured Data Solutions | 00:53:23 | |
This episode is sponsored by Oracle.
Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you’re saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.
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In this episode of the Eye on AI podcast, Jamie Lerner, CEO of Quantum, joins Craig Smith to discuss the future of data storage, unstructured data management, and AI’s transformative role in modern workflows.
Jamie shares his journey leading Quantum, a company revolutionizing the storage and management of unstructured data for industries like healthcare, media, and AI research. With decades of expertise in creating innovative data solutions, Quantum is at the forefront of enabling efficient, secure, and scalable data workflows.
We dive into Quantum’s cutting-edge technologies, from high-speed flash storage systems like the Myriad file system to cost-effective, long-term archival solutions such as tape systems. Jamie unpacks how Quantum supports AI-powered workflows, enabling seamless data movement, metadata tagging, and policy-driven automation for unstructured data like medical imaging, genomics, and video archives.
Jamie also explores the critical role of data sovereignty in today’s global landscape, the growing importance of "forever archives," and how Quantum’s tools help organizations balance exponential data growth with flat budgets. He sheds light on innovations like synthetic DNA and compressed storage mediums, providing a glimpse into the future of data storage.
Don’t forget to like, subscribe, and hit the notification bell for more engaging discussions on AI, technology, and innovation!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Jamie Lerner and Quantum (02:21) Quantum’s Focus on Unstructured Data Storage (05:19) Structured vs. Unstructured Data: Key Differences (07:52) Managing Data Workflows with AI and Automation (10:55) Quantum’s Role in Long-Term Data Archives (13:32) Data Sovereignty and Security (16:18) How Data is Stored and Protected Across Mediums (19:54) Metadata in AI and Data Management (21:29) Quantum’s Role in Building Forever Archives (24:16) Tape Storage: Efficiency and Longevity (29:11) Innovations in Data Storage (34:39) Competing in the Evolving Data Storage Industry (37:56) Innovations in Flash Storage (40:55) Balancing Cost and Efficiency in Data Storage (44:28) The Future of Data Storage and AI Integration (50:07) Quantum’s Vision for the Future
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| 24 Nov 2019 | Episode 28 - Aude Billard | 00:34:23 | |
My guest this week, Aude Billard from Switzerland’s Learning Algorithms and Systems Laboratory, blends control theory with machine learning to build robotic systems that are both swift and precise but can handle some of the unpredictability of the real world. Her lab famously taught a robot arm to catch a tennis racket looping through the air and is working on ever more precise robots that can even do the work of Switzerland’s famous watchmakers. | |||
| 19 Nov 2023 | #155 Alex Wiltschko: From Molecules to Memories & The AI Approach to Scent Detection | 01:03:41 | |
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
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| 08 Jun 2023 | #124 Sina Kian: Reshaping Privacy in the AI & Machine Learning Revolution | 00:57:27 | |
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. (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
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| 04 Aug 2020 | Episode 46 - Qualcomm Technologies | 00:43:24 | |
Qualcomm Technologies is powering the shift to fifth generation wireless communications, known as 5G. In this sponsored episode, I speak to two of the company's product managers leading the company's efforts to use AI to enhance 5G, reduce on-device power consumption, and give developers the tools necessary to make devices smarter and faster. | |||
| 19 May 2021 | US Defense: AI-ready by 2025 | 00:39:09 | |
NSCAI staff Chris Rice and Courtney Barno talk about what the US has to do to get up to speed on its AI military capabilities by 2025 in order to outpace our competitors, particularly China. | |||
| 18 Mar 2020 | Episode 34 - David Cox | 00:44:17 | |
There has been a debate in the past few years between the symbolists and the connectionists about the future of artificial intelligence. The symbolists say that traditional, explainable, logic-based approaches still hold tremendous promise while the connectionists say that the power of deep learning, for all its current opacity and narrow application, holds the key to more general forms of machine intelligence. This week, I speak with David Cox, IBM Director of the MIT-IBM Watson AI Lab, which is blending the two traditions in what they call neuro-symbolic AI in hopes to move AI forward. | |||
| 01 Feb 2023 | Terry Sejnowski: NeurIPS and the Future of AI | 00:37:05 | |
In this episode, Terry Sejnowski, an AI pioneer, chairman of the NeurIPS Foundation, and co-creator of Boltzmann Machines, delves into the latest developments in deep learning and their potential impact on our understanding of the human brain. | |||
| 04 Nov 2021 | A National AI Research Resource | 00:37:59 | |
Daniel Ho, associate director of Stanford’s Institute for Human-Centered Artificial Intelligence talks about the proposed National AI Research Resource, an effort to expand the data and compute available to academic researchers, leveling the playing field with researchers in private companies. | |||
| 15 Dec 2021 | Robert O. Work | 00:32:18 | |
Robert O. Work, former Deputy Secretary of Defense and recently co-chairman of the National Security Commission on AI, talks about competition between the US and China to integrate AI into their military capabilities. | |||
| 04 Jul 2019 | Episode 18 - Partha Talukdar | 00:42:45 | |
This week, we look at AI in India. With its massive population, fast-growing economy, English-language education and large supply of brilliant researchers and engineers, it should be competing with China and the U.S. for dominance in the space. But it is not. I talk to Partha Talukdar, a professor at the Indian Institute of Science, Bangalore, about the challenges that have kept India from realizing its AI potential. | |||
| 05 Aug 2024 | #201 Danny Halawi: The Science Behind AI Predictions - Accuracy, Challenges, and Innovations | 00:54:41 | |
In this episode of the Eye on AI podcast, we dive into the world of AI forecasting with Danny Halawi, a PhD student at UC Berkeley.
Danny shares his groundbreaking research on using large language models (LLMs) to predict future events with accuracy, rivaling human forecasters and prediction markets.
Danny recounts his journey from studying computer security and fraud detection to exploring the potential of AI in forecasting geopolitical events and beyond. He introduces us to the sophisticated architecture of his AI system, which leverages real-time data from prediction markets and advanced machine learning techniques to generate reliable forecasts.
We explore the complexities of judgmental forecasting versus time series forecasting and how AI can enhance decision-making in various fields. Danny discusses the challenges of training AI models for high-stakes predictions, the role of super forecasters, and the fascinating dynamics of prediction markets. He also sheds light on the ethical considerations and future possibilities of integrating AI into our decision-making processes.
Join us as we delve into the future of AI forecasting, the potential of superhuman predictions, and the exciting developments that could reshape our understanding of the future. Don't forget to like, subscribe, and hit the notification bell for more expert insights into the latest AI innovations.
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction (01:28) The Importance of AI (02:50) Danny's Background and Interest in AI (04:01) Automated AI Forecasting and Safety Implications (07:34) Judgmental Forecasting Explained (11:01) Accuracy and Challenges in Prediction Markets (16:01) Aggregating Predictions for Better Accuracy (19:25) Data Collection and Model Accuracy (23:18) Improving Model Accuracy Over Time (25:31) Data Sources and Model Training (29:20) Summarizing Information for Predictions (34:08) Potential of Reinforcement Learning in Forecasting (37:50) Automating Information Collection and Summarization (39:01) Training the Model for Accurate Predictions (45:04) Challenges with Uncertain Predictions (50:14) Potential Applications and Future Directions (52:26) The Future of AI Forecasting and Its Impact | |||
| 02 Aug 2023 | #132 Scott Downes: Navigating the Language of AI & Large Language Models | 01:04:00 | |
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).
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| 09 Aug 2023 | #133 Michael Jordan: How Deep Learning Has Completely Changed Industries | 01:06:54 | |
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 | |||
| 06 Nov 2018 | Episode 5 - Miles Brundage | 00:22:33 | |
In this episode of Eye on AI, I talk to Miles Brundage, who studies the societal impacts of artificial intelligence and works on the policy team of OpenAI, the nonprofit A.I. research company founded by Elon Musk. When I spoke to Miles, he was a research fellow at the University of Oxford’s Future of Humanity Institute, where he remains an associate. We talked about the policy side of AI security and whether he is optimistic that regulations can steer machine learning applications away from the nightmare scenarios popularly imagined. I hope you find Miles as interesting as I did. | |||
| 04 Aug 2020 | Episode 47 - Talking Machines | 00:40:23 | |
The Alexa Prize Socialbot Grand Challenge is a competition for university students to create a social bot that can converse coherently and engagingly with humans. This year's prize goes to the team from Emory University in Atlanta, Georgia. I speak with Prem Natarajan, vice president of natural understanding in the Alexa AI organization, about the prize, the evolution of conversational AI, its current challenges and its future promise | |||
| 02 Apr 2025 | #245 Rajat Taneja: Visa's President of Technology Reveals Their $3.3 Billion AI Strategy | 00:24:49 | |
This episode is sponsored by Thuma.
Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
Visa’s President of Technology, Rajat Taneja, pulls back the curtain on the $3.3 billion AI transformation powering one of the world’s most trusted financial networks.
In this episode, Taneja shares how Visa—a company processing over $16 trillion annually across 300 billion real-time transactions—is leveraging AI not just to stop fraud, but to redefine the future of commerce.
From deep neural networks trained on decades of transaction data to generative AI tools powering next-gen agentic systems, Visa has quietly been an AI-first company since the 1990s. Now, with 500+ petabytes of data and 2,900 open APIs, it’s preparing for a future where agents, biometrics, and behavioral signals shape every interaction.
Taneja also reveals how Visa’s models can mimic bank decisions in milliseconds, stop enumeration attacks, and even detect fraud based on how you type. This is AI at global scale—with zero room for error.
What You’ll Learn in This Episode:
The future of commerce isn’t just cashless—it’s intelligent, autonomous, and trust-driven.
If you’re curious about how AI is redefining payments, security, and digital identity at massive scale, this episode is essential viewing.
Subscribe for more deep dives into the future of AI, commerce, and innovation.
Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
(00:00) Introduction (02:57) Meet Rajat Taneja, Visa’s President of Technology (04:02) Scaling AI for 300 Billion Transactions Annually (05:27) The Models Behind Visa’s Fraud Detection (08:02) Visa’s In-House AI Models vs Open-Source Tools (10:54) Inside Visa’s $3.3B AI Data Platform (12:29) Visa’s Role in E-Commerce Innovation (16:24) Biometrics, Identity & Tokenization at Visa (21:14) Visa’s Vision for AI-Driven Commerce
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| 08 Apr 2024 | #180 Thomas Lah: Navigating AI Adoption in Tech Businesses | 00:53:28 | |
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
This dialogue features Thomas Lah, Executive Director of the Technology and Services Industry Association (TSIA), as he delves into the influence of AI on technology companies and their operating models. In this episode, Thomas offers a compelling narrative on how AI is being integrated into the fabric of technology businesses, altering the landscape of innovation and competition. Discover the intricacies of AI adoption strategies, the challenges of data management, and the evolution of business models in response to AI advancements. From Microsoft to Salesforce, uncover how leading tech giants are harnessing AI to redefine efficiency, creativity, and growth. Dive deep into the core of TSIA's research, unveiling the pivotal role of benchmarking and operational research in navigating the AI revolution. Thomas sheds light on the actionable insights and best practices that are guiding technology companies through this era of rapid technological change. Whether you're intrigued by the operational shifts AI is catalyzing in the tech sector, or you're keen on understanding the future directions of AI-driven business models, this episode is a treasure trove of knowledge. Remember to give us a thumbs up on YouTube if this deep dive into the AI transformation within tech companies enriches your understanding. Subscribe for more insights into how AI is sculpting the technological landscapes of tomorrow.
Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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| 21 Sep 2022 | Amazon's Sagemaker | 00:19:37 | |
Bratin Saha, head of Amazon's machine learning services, talks about Amazon's growing dominance in model building and deploying AI, about the company's SageMaker platform, and whether anyone can compete with the behemoth. | |||
| 26 Jan 2022 | WuDao 2.0 with its lead creator, Tang Jie | 00:24:52 | |
Currently the largest AI system in the world is China’s WuDao 2.0, a sparse, multimodal, large language model with 1.75 trillion parameters. Tang Jie, a professor at China’s Qinghua University, who leads the WuDao team, talks about how the model was built, why it is unique and what his team plans for the future. | |||
| 20 Dec 2018 | Episode 7 - Ben Rosman | 00:24:07 | |
In this episode of Eye on AI, I talk to Ben Rosman, who runs Africa’s largest machine learning lab at the University of Witwatersrand in Johannesburg, South Africa, where he is focused on reinforcement learning. Ben has been instrumental in unifying and upgrading the continent’s machine-learning capabilities in hopes of making Africa a player in the artificial intelligence revolution. If you wanted to know what’s going on with AI in Africa, Ben will fill you in. I hope you find him as interesting as I did. | |||
| 05 Jul 2024 | #196 Avi Kedmi: How SysAid Uses AI to Redefine IT Service Management | 00:56:07 | |
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, join us as we sit down with Avi Kedmi, CEO of SysAid, to explore the transformative power of AI in IT service management.
Avi shares his journey from the high-tech industry to leading SysAid, a pioneer in IT service management solutions. With over 20 years of experience, Avi discusses how SysAid is leveraging AI to revolutionize service management through predictive modeling and generative AI.
Discover how SysAid's AI-driven solutions reduce ticket volumes and enhance customer satisfaction by automating IT services. Avi provides an inside look at SysAid's AI Co-Pilot, a comprehensive AI suite designed to optimize IT service delivery and support.
Explore the unique features of SysAid's platform, including its ease of use, no-code interface, and seamless integration with existing IT systems. Avi explains how SysAid's AI capabilities enable real-time data processing and decision-making, improving efficiency and response times.
Learn about the future of AI in IT service management, as Avi delves into the potential for AI-driven automation and the development of smarter IT solutions. He also highlights SysAid's strategic approach to staying competitive in a rapidly evolving industry.
Tune in to understand how SysAid is setting new standards in AI-powered IT service management and what this means for the future of IT support.
Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.
Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction (02:38) Avi Kedmi's Background (04:37) SysAid's Role in the ITSM Market (06:39) SysAid Co-Pilot: AI-Powered IT Solutions (08:31) Importance of Generative AI in Service Management (12:23) Conversational Interfaces and Large Language Models (14:20) AI Applications in IT Service Management (21:16) Automated Pre-Processing and Document Handling (25:33) AI's Role in Reducing Ticket Volumes (28:56) Ensuring Accuracy and Relevance (30:46) Cross-Channel Accuracy Management (34:03) SysAid’s Mid-Market Focus and Strategic Positioning (37:52) Market Segmentation and Competitive Advantage (39:17) Digitization and Future Market Trends (43:54) Challenges with Knowledge Base Maintenance (46:48) Future Developments and Industry Trends (47:39) SysAid's Vision for AI and IT Service Management
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| 14 Feb 2024 | #169 Guillermo Rauch: How To Use AI to Improve Web Development | 00:59:16 | |
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
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| 03 Apr 2024 | #179 Ylli Bajraktari: AI and National Security - The Race with China | 00:49:27 | |
Dive into the heart of the AI race between the US and China with Craig Smith in episode #179 of Eye on AI. This discussion features Ylli Bajraktari, the President and CEO of the Special Competitive Studies Project, as he unveils the strategic maneuvers and policies shaping the future of artificial intelligence on a global scale. In this episode, Ylli provides an in-depth analysis of the current state of AI development and competition, illuminating the actions taken by both superpowers to secure their position at the forefront of technological advancement. From the pivotal CHIPS Act to the formation of national AI champions, learn how these initiatives are influencing the global AI landscape. Uncover the essence of the Special Competitive Studies Project and its mission to ensure the US retains its edge in AI through a comprehensive, nation-wide approach. Ylli discusses the critical importance of AI in national security, the transformative potential of the OffsetX strategy, and the implications of the National Plan for Microelectronics. Whether you're fascinated by the strategic dynamics of international technology competition or passionate about the impact of AI on society and security, this episode offers invaluable insights into the challenges and opportunities ahead. Don't forget to rate us on Apple Podcast and Spotify if you're inspired by the strategic discourse on AI's role in shaping the future.
This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you’re selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons. Sign up for a $1 per month trial period at http://shopify.com/eyeonai
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview (00:46) Introducing Ylli Bajraktari (04:21) Origins of the Special Competitive Studies Project (09:14) Influence of National Security Commission on AI (14:05) What is the OffsetX Strategy (15:42) US vs. China: The AI Competition Landscape (19:00) Post-Gen AI Period and Its Impact (21:03) The Future of AI Research (24:41) Reorganizing Government Institutions for the AI Era (32:48) Understanding Lethal Autonomous Weapon Systems (35:05) The Concept of Counter-Autonomy (39:04) Addressing the Threat from China’s Semiconductor Strategy (44:54) Preview of the Special Competitive Studies Project's AI Expo
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| 30 Mar 2023 | Edo Liberty: Solving ChatGPT Hallucinations With Vector Embeddings | 00:35:26 | |
Welcome to the latest episode of our podcast featuring Edo Liberty, an AI expert and former creator of SageMaker at Amazon’s AI labs. In this episode, Edo discusses how his team at Pinecone.io is tackling the problem of hallucinations in large language models like ChatGPT.
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| 26 Jul 2023 | #131 Andrew Ng: Exploring Artificial Intelligence’s Potential & Threats | 00:33:35 | |
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. 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.
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| 11 Dec 2020 | Biodata as an instrument of National Power | 00:34:27 | |
Chris Darby, CEO of the CIA-backed tech investment company In-Q-Tel, talks about the commission's recommendation that AI for national security be extended to biotechnology, and that bio-data be considered an instrument of national power. | |||
| 26 Feb 2025 | #239 Tuhin Srivatsa: How Baseten is Disrupting AI Deployment & Scaling in 2025 | 00:46:17 | |
This episode is sponsored by Thuma.
Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
————————————————————————————————————————— AI deployment is broken—can it be fixed? In this episode, Tuhin Srivatsa, CEO & Co-Founder of Baseten, reveals how his company is DISRUPTING AI infrastructure, making it easier, faster, and more cost-effective to deploy and scale AI models in production. As enterprises increasingly turn to open-source AI models and grapple with the high costs and complexity of scaling, Baseten offers a game-changing solution that eliminates bottlenecks and simplifies the process. Discover how Baseten is taking on AWS SageMaker, OpenAI, and cloud-based AI deployment platforms to reshape the future of AI model deployment. What You’ll Learn in This Episode:
Whether you’re a machine learning engineer, AI researcher, startup founder, or enterprise leader, this episode is packed with actionable insights to help you scale AI models without the headaches. Don’t miss this conversation on the next era of AI deployment! #AI #ArtificialIntelligence #MachineLearning #Baseten #AIDeployment #AIScaling #Inference #MLInfrastructure #TechPodcast
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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(00:00) Tuhin Srivatsa’s Journey in AI & Baseten (01:50) What is AI Infrastructure & Why It Matters (03:30) How Baseten Optimizes AI Model Deployment (05:19) Why Most AI Deployments Fail (And How to Fix It) (09:17) The Future of Open-Source AI Models in Enterprise (11:01) How Baseten Automates AI Scaling & Inference (14:12) Why AI Developers Struggle with Cloud-Based AI Tools (18:47) The Real Cost of AI Inference (And How to Reduce It) (20:44) Why AI Scaling is the Biggest Challenge in 2025 (26:55) Can AI Run on Non-NVIDIA Chips? (The Hardware Debate) (31:23) The Future of AI Model Deployment & Inference (37:05) How AI Agents & Reasoning Models Are Changing the Game (40:39) The Truth About AI Hype vs. Reality (45:04) How to Get Started with Baseten (45:48) The Future of AI Infrastructure
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| 14 Apr 2024 | #181 Nick Bostrom: The Meaning of Life in a World where AI can do Everything for Us | 00:55:05 | |
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
Venture into the future of AI with Nick Bostrom, a philosopher at the University of Oxford known for his work on existential risk, the anthropic principle, human enhancement ethics, whole brain emulation, superintelligence risks, and the reversal test. On episode #181 of Eye on AI, Nick Bostrom, explores the existential and societal implications of AI reaching and surpassing human capabilities. As we contemplate a world where all tasks are performed by AI, Nick discusses the potential for a 'technologically solved' society and its impact on human purpose and motivation. Join us as Nick provides insights into his latest book, "Deep Utopia," where he questions how humans will find meaning when artificial intelligence handles every aspect of labor and creativity. He elaborates on the risks, ethical considerations, and philosophical dilemmas we face as AI continues to evolve at an unprecedented pace. This episode is an essential exploration of the shifts AI may bring to our societal structures, labour markets, and individual lives. If you find yourself intrigued by the philosophical journey into AI's potential to redefine humanity, hit the like button and subscribe for more thoughtful discussions on the future landscapes shaped by artificial intelligence.
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction and the Concept of a 'Solved World' (03:05) Nick Bostrom's Background (06:06) Exploring the Anthropomorphism in Modern AI (08:02) Predictions and the 'Hockey Stick' Graph (10:13) AI Safety and Public Perception (12:58) Deep Utopia and the Search for Meaning (15:46) Life in a Technologically Mature World (18:17) Existential Malaise in Modern Society (20:43) The Potential of Technological Maturity (23:51) Philosophical Implications of a Solved World (28:20) Engineering Happiness and Neurological Adjustments (32:18) Remaining Human Tasks and Cultural Values (35:45) The Future of Humanity (47:03) Closing Remarks and Sponsor Message
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| 15 Sep 2021 | Seth Dobrin | 00:26:59 | |
Seth Dobrin, chief AI officer at IBM, talks about the company's tools to increase the trustworthiness, fairness and explainability of AI models. | |||
| 13 Apr 2025 | #247 Barr Moses: Why Reliable Data is Key to Building Good AI Systems | 00:55:36 | |
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of Eye on AI, Craig Smith sits down with Barr Moses, Co-Founder & CEO of Monte Carlo, the pioneer of data and AI observability. Together, they explore the hidden force behind every great AI system: reliable, trustworthy data. With AI adoption soaring across industries, companies now face a critical question: Can we trust the data feeding our models? Barr unpacks why data quality is more important than ever, how observability helps detect and resolve data issues, and why clean data—not access to GPT or Claude—is the real competitive moat in AI today.
What You’ll Learn in This Episode:
Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
(00:00) Intro (01:08) How Monte Carlo Fixed Broken Data (03:08) What Is Data & AI Observability? (05:00) Structured vs Unstructured Data Monitoring (08:48) How Monte Carlo Integrates Across Data Stacks (13:35) Why Clean Data Is the New Competitive Advantage (16:57) How Monte Carlo Uses AI Internally (19:20) 4 Failure Points: Data, Systems, Code, Models (23:08) Can Observability Detect Bias in Data? (26:15) Why Data Quality Needs a Modern Definition (29:22) Explosion of Data Tools & Monte Carlo’s 50+ Integrations (33:18) Data Observability vs Explainability (36:18) Human Evaluation vs Automated Monitoring (39:23) What Monte Carlo Looks Like for Users (46:03) How Fast Can You Deploy Monte Carlo? (51:56) Why Manual Data Checks No Longer Work (53:26) The Future of AI Depends on Trustworthy Data | |||
| 30 Jun 2024 | #195 Mrinal Manohar: Building Secure AI Systems with Blockchain | 00:59:48 | |
This episode is sponsored by TrialKey.ai, the market leader AI-driven clinical trial design optimization, and predictor that improves trial design and execution. With over 90% accuracy based on precision/recall, TrialKey.ai predicts the success of clinical trials more precisely than any other tool on the market. Maximize clinical trial success while minimizing costs – book a demo at https://trialkey.ai/ or sign up for free!
In this episode of the Eye on AI podcast, join us as we sit down with Mrinal Manohar, CEO of Casper Labs, to explore the intersection of blockchain technology and AI governance.
Mrinal delves into his journey from Wall Street to founding Casper Labs, a leading enterprise-grade blockchain infrastructure company. With a strong background in computer science and experience in AI governance, Mrinal shares how Casper Labs is setting new standards in AI compliance and security.
Discover how Casper Labs uses blockchain to create tamper-proof, auditable records, ensuring the integrity and security of AI systems. Mrinal explains the innovative use of blockchain for multi-party access and version control, highlighting the company's collaboration with IBM to develop cutting-edge solutions integrated into the Watson X platform.
Explore the implications of upcoming AI legislation, such as the EU AI Act, and how Casper Labs is helping enterprises navigate these regulatory changes. Mrinal provides insights into the challenges and opportunities in AI governance, discussing real-world use cases and the future of secure AI systems.
Learn how Casper Labs is positioning itself ahead of the curve, with technical differentiators and strategic partnerships that set it apart in the industry.
Tune in to understand how Casper Labs is transforming AI compliance and security with blockchain, and what this means for the future of AI.
Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.
Checkout Casper Labs: Website: https://casperlabs.io/ Twitter/X: https://x.com/Casper_Labs
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction (01:37) Overview of Casper Labs (03:46) Proof of Concept and Collaboration with IBM (06:58) AI Governance and Compliance Needs (08:38) Key Components of Blockchain for AI Governance (10:22) Training Data Integrity and Auditability (14:22) Challenges in AI Governance (17:15) Real-World Use Cases and Partnerships (19:24) Technical Differentiators of Casper Labs (23:39) Future Vision and Product Launch (26:23) Scalability and Hybrid Networks (27:52) Product Integration and User Experience (31:54) Support and Onboarding for Enterprises (33:11) Building the Blockchain Network (36:02) Market Response and Future Prospects (39:16) Differentiating from Competitors (41:06) Expansion Plans and Future Vision (45:43) Global Compliance and Availability (55:44) Closing Thoughts
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| 27 Mar 2025 | #244 Yoav Shoham on Jamba Models, Maestro and The Future of Enterprise AI | 00:52:16 | |
This episode is sponsored by the DFINITY Foundation. DFINITY Foundation's mission is to develop and contribute technology that enables the Internet Computer (ICP) blockchain and its ecosystem, aiming to shift cloud computing into a fully decentralized state.
Find out more at https://internetcomputer.org/
In this episode of Eye on AI, Yoav Shoham, co-founder of AI21 Labs, shares his insights on the evolution of AI, touching on key advancements such as Jamba and Maestro. From the early days of his career to the latest developments in AI systems, Yoav offers a comprehensive look into the future of artificial intelligence.
Yoav opens up about his journey in AI, beginning with his academic roots in game theory and logic, followed by his entrepreneurial ventures that led to the creation of AI21 Labs. He explains the founding of AI21 Labs and the company's mission to combine traditional AI approaches with modern deep learning methods, leading to innovations like Jamba—a highly efficient hybrid AI model that’s disrupting the traditional transformer architecture.
He also introduces Maestro, AI21’s orchestrator that works with multiple large language models (LLMs) and AI tools to create more reliable, predictable, and efficient systems for enterprises. Yoav discusses how Maestro is tackling real-world challenges in enterprise AI, moving beyond flashy demos to practical, scalable solutions.
Throughout the conversation, Yoav emphasizes the limitations of current large language models (LLMs), even those with reasoning capabilities, and explains how AI systems, rather than just pure language models, are becoming the future of AI. He also delves into the philosophical side of AI, discussing whether models truly "understand" and what that means for the future of artificial intelligence.
Whether you’re deeply invested in AI research or curious about its applications in business, this episode is filled with valuable insights into the current and future landscape of artificial intelligence.
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction: The Future of AI Systems (02:33) Yoav’s Journey: From Academia to AI21 Labs (05:57) The Evolution of AI: Symbolic AI and Deep Learning (07:38) Jurassic One: AI21 Labs’ First Language Model (10:39) Jamba: Revolutionizing AI Model Architecture (16:11) Benchmarking AI Models: Challenges and Criticisms (22:18) Reinforcement Learning in AI Models (24:33) The Future of AI: Is Jamba the End of Larger Models? (27:31) Applications of Jamba: Real-World Use Cases in Enterprise (29:56) The Transition to Mass AI Deployment in Enterprises (33:47) Maestro: The Orchestrator of AI Tools and Language Models (36:03) GPT-4.5 and Reasoning Models: Are They the Future of AI? (38:09) Yoav’s Pet Project: The Philosophical Side of AI Understanding (41:27) The Philosophy of AI Understanding (45:32) Explanations and Competence in AI (48:59) Where to Access Jamba and Maestro
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| 21 Jul 2021 | Steps to Drive AI Innovation | 00:30:34 | |
NSCAI staff Tess Deblanc-Knowles and Mike Garris talk about the steps the US government needs to take to foster AI innovation in the years ahead. | |||
| 13 Nov 2024 | #218 Jeff Boudier: The Future of Open Source AI Development (Hugging Face) | 00:49:55 | |
This episode is sponsored by Oracle. Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you’re saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.
Cut your current cloud bill in HALF if you move to OCI now: https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, Jeff Boudier, Head of Product and Growth at Hugging Face, joins Craig Smith to uncover how the platform is empowering AI builders and driving the open-source AI revolution.
With a mission to democratize AI, Jeff walks us through Hugging Face's journey from a chatbot for teens to the leading platform hosting over 1 million public AI models, datasets, and applications. We explore how Hugging Face is bridging the gap between enterprises and open-source innovation, enabling developers to build cutting-edge AI solutions with transparency and collaboration.
Jeff dives deep into Hugging Face’s tools and features, from hosting private and public models to fostering a thriving ecosystem of AI builders. He shares insights on the transformative impact of technologies like Transformers, transfer learning, and no-code solutions that make AI accessible to more creators than ever before.
We also discuss Hugging Face’s latest innovation, ‘Hugs,’ designed to help enterprises seamlessly integrate open-source AI within their infrastructure while retaining full control over their data and models.
Tune in to discover how Hugging Face is shaping the future of AI development, why open-source models are catching up with proprietary ones, and what trends are driving innovation across AI disciplines.
Don’t forget to like, subscribe, and hit the notification bell for more!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Jeff Boudier (02:16) How Hugging Face Empowers AI Builders (05:26) Transition from Chatbot to Leading AI Platform (07:07) Hosting AI Models: Public and Private Options (10:13) What Does Hosting Models on Hugging Face Mean? (14:22) Hugging Face vs. GitHub: Key Differences (19:09) Navigating 1 Million Models on the Hugging Face Hub (22:33) Leaderboards and Filtering AI Models (25:26) Building Applications with Hugging Face Models (28:03) AI Innovation: From Code to Model-Driven Development (30:45) Frameworks for Agentic Systems and Hugging Chat (35:20) Open Source vs. Proprietary AI: The Future (40:41) Introducing ‘Hugs’: Open AI for Enterprises (44:59) The Role of No-Code in AI Development (47:26) Hugging Face’s Vision
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| 17 Jan 2024 | #165 Andy Hock: Will AI Revolutionize How We Do Business? | 01:06:07 | |
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
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| 27 Nov 2018 | Episode 6 - Julian Togelius | 00:27:51 | |
In this episode of Eye on AI, I talk to Julian Togelius, perhaps the most prolific researcher at the intersection of video games and artificial intelligence. Julian works on AI for games and games for AI. Some of his most significant work is in training deep neural networks to play video games and generalize what they have learned, a critical step toward artificial general intelligence. For those of you who don't understand the importance of video games to artificial intelligence research, Julian will enlighten you. For those of you who do his recent work will surprise you. I hope you find Julian as interesting as I did. | |||
| 22 Oct 2023 | #147 Yilun Du: AI Debates, Reinforcement Learning, & The Power of Generative Models | 00:55:05 | |
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
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| 26 May 2022 | Baidu | 00:34:36 | |
Ma Yanjun, General Manager of the AI Technology Ecosystem at Baidu, talks about how Baidu's PaddlePaddle stacks up against other AI frameworks, about Baidu's development of large language models and the direction of AI research in China more generally.
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| 14 Oct 2020 | Data Wrangling with Joe Hellerstein | 00:44:13 | |
In the second episode of a series on the machine-learning pipeline, Joe Hellerstein, a professor at UC Berkeley, talks about data wrangling. | |||
| 15 Jul 2022 | Amazon's Rohit Prasad | 00:32:08 | |
Rohit Prasad, Amazon's Senior Vice President and Head Scientist for Alexa, speaks about the development of conversational AI and virtual assistants and the merging of IoT sensor data into ambient intelligence - AI that is always present and immediately accessible. | |||
| 02 Feb 2024 | #167 Matt Powell: The Impact of AI on Security and Surveillance | 01:05:51 | |
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 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
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| 06 Dec 2023 | #160 Atul Deo: The Future of Generative AI at Amazon | 00:49:02 | |
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
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| 01 Oct 2023 | #141 Peter Voss Reveals the Future of Artificial General Intelligence | 01:02:33 | |
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. 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
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| 08 Oct 2018 | Episode 1 demo - Jack Clark | 00:33:56 | |
In Episode 1 of Eye on AI, I talk to Jack Clark, Strategy and Communications Director at OpenAI, a nonprofit A.I. research company, in a wide-ranging conversation off of things highlighted in Jack’s popular Import AI newsletter. Topics include Google CEO Sundar Pichai’s comment that the advent of artificial intelligence to man’s discovery of fire; the chances that the world’s nation states can create and adhere to international norms governing A.I., preventing the spread of dangerous applications of the powerful technology; whether A.I. is escaping the labs of the tech giants and becoming more democratic; and whether A.I. eventually become a cognitive mirror to our own minds. | |||
| 15 Nov 2023 | #154 Sal Khan: Revolutionizing Education with AI | 00:45:49 | |
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.
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Craig Smith's Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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| 17 Feb 2025 | #237 Pedro Domingos Breaks Down The Symbolist Approach to AI | 00:48:12 | |
This episode is sponsored by Thuma.
Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
In this episode of the Eye on AI podcast, Pedro Domingos—renowned AI researcher and author of The Master Algorithm—joins Craig Smith to break down the Symbolist approach to artificial intelligence, one of the Five Tribes of Machine Learning. Pedro explains how Symbolic AI dominated the field for decades, from the 1950s to the early 2000s, and why it’s still playing a crucial role in modern AI. He dives into the Physical Symbol System Hypothesis, the idea that intelligence can emerge purely from symbol manipulation, and how AI pioneers like Marvin Minsky and John McCarthy built the foundation for rule-based AI systems. The conversation unpacks inverse deduction—the Symbolists' "Master Algorithm"—and how it allows AI to infer general rules from specific examples. Pedro also explores how decision trees, random forests, and boosting methods remain some of the most powerful AI techniques today, often outperforming deep learning in real-world applications. We also discuss why expert systems failed, the knowledge acquisition bottleneck, and how machine learning helped solve Symbolic AI’s biggest challenges. Pedro shares insights on the heated debate between Symbolists and Connectionists, the ongoing battle between logic-based reasoning and neural networks, and why the future of AI lies in combining these paradigms. From AlphaGo’s hybrid approach to modern AI models integrating logic and reasoning, this episode is a deep dive into the past, present, and future of Symbolic AI—and why it might be making a comeback. Don't forget to like, subscribe, and hit the notification bell for more expert discussions on AI, technology, and the future of intelligence!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Pedro Domingos onThe Five Tribes of Machine Learning (02:23) What is Symbolic AI? (04:46) The Physical Symbol System Hypothesis Explained (07:05) Understanding Symbols in AI (11:51) What is Inverse Deduction? (15:10) Symbolic AI in Medical Diagnosis (17:35) The Knowledge Acquisition Bottleneck (19:05) Why Symbolic AI Struggled with Uncertainty (20:40) Machine Learning in Symbolic AI – More Than Just Connectionism (24:08) Decision Trees & Their Role in Symbolic Learning (26:55) The Myth of Feature Engineering in Deep Learning (30:18) How Symbolic AI Invents Its Own Rules (31:54) The Rise and Fall of Expert Systems – The CYCL Project (38:53) Symbolic AI vs. Connectionism (41:53) Is Symbolic AI Still Relevant Today? (43:29) How AlphaGo Combined Symbolic AI & Neural Networks (45:07) What Symbolic AI is Best At – System 2 Thinking (47:18) Is GPT-4o Using Symbolic AI?
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| 23 Nov 2023 | #157 Karen Hao: Inside OpenAI's Tumultuous Saga | 00:41:53 | |
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
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| 24 Jan 2024 | #166 Itamar Arel: Is Voice AI the Future of Customer Service? | 00:45:34 | |
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
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| 20 Oct 2022 | NO-CODE WITH AKKIO | 00:45:30 | |
Jonathon Reilly, co-founder of Akkio, a no-code AI platform, talks about how users with a web browser and an idea have the power to bring AI to life themselves without having to write code. | |||
| 28 Oct 2020 | Programmatic labeling with Alex Ratner of Snorkel AI | 00:45:56 | |
Alex Ratner, an assistant professor at the University of Washington and a cofounder and CEO of Snorkel AI, talks about programmatically labeling training data for supervised learning models. | |||
| 18 Dec 2020 | Geoff Hinton on his quest to decode learning in the brain | 00:39:22 | |
Geoff Hinton has lived at the outer reaches of machine learning research since an aborted attempt at a carpentry career a half century ago. He spoke to me about his work In 2020 and what he sees on the horizon for AI. | |||
| 03 Dec 2020 | Tricky Business: Deploying AI Models on Hardware | 00:44:03 | |
An open-source compiler called TVM helps data scientists optimize their model’s performance on specific hardware. | |||
| 09 Nov 2022 | AI Supply Chain Optimization | 00:40:08 | |
This week I talk to Bob Rogers, a Harvard trained astrophysicist who once built digital twins of black holes to better understand them, and now builds digital twins of supply chains to help make them more efficient and resilient. | |||
| 08 Oct 2018 | Episode 3 - Misha Bilenko | 00:20:28 | |
In Episode 3 of Eye on AI, I talk to Misha Bilenko, head of AI at Yandex, the Google of Russia, about Vladimir Putin’s claim that whomever dominates AI will rule the world; about Yandex’s chatty virtual assistant, Alice; and how AI has made the dead poet Pushkin relevant today. | |||
| 25 Aug 2022 | Michael Kearns on Privacy | 00:30:30 | |
Michael Kearns, a computer scientist professor at the University of Pennsylvania and an Amazon scholar talks about differential privacy, how Amazon's research approach differs from its peers, and how AI will eventually permeate all aspects of our lives. | |||
| 31 Mar 2022 | Tom Siebel of C3.AI | 00:32:29 | |
Tom Siebel, founder and CEO of C3.ai talks about AI projects including military target acquisition and precision healthcare while musing about the dark side of our technological future. The Eye on AI podcast is sponsored by Clear.ML | |||
| 22 Mar 2024 | #177 Björn Ommer: Diffusion Mods Explained By Stable Diffusion’s Creator | 00:45:39 | |
Join host Craig Smith on episode #177 of Eye on AI as he explores the cutting-edge world of generative models in artificial intelligence with Björn Ommer, a visionary AI researcher and Head of Computer Vision & Learning Group at Ludwig Maximilian University of Munic.
In this episode, Björn delves into the fascinating inner workings of diffusion models, shedding light on the pivotal role these models play in advancing technology and society. Discover the groundbreaking development of stable diffusion, a key innovation by Bjorn's team that is setting new standards in the democratization of AI technology.
Learn about the challenges and solutions in making AI accessible on consumer hardware, ensuring that the power of generative AI is not confined to well-funded organizations but available to all. Bjorn shares his expert insights on the balance between open-source innovation and proprietary development, emphasizing the societal implications of generative AI.
This episode is an essential listen for anyone intrigued by the potential of AI to transform our understanding of the visual world, the importance of accessibility in technology, and the future of AI development.
If you're captivated by the evolution of AI and the profound impact of generative models like stable diffusion, don't forget to rate us on Apple Podcast and Spotify.
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction (01:38) Bjorn Omer's Journey into AI (03:03) The Evolution of AI Before Deep Learning (06:38) Democratizing AI with Stable Diffusion (09:45) Explaining Diffusion Models (13:40) Challenges of AI on Consumer Hardware (17:05) The Binding Problem in Vision Research (22:27) Mechanisms in Stable Diffusion: Attention and Diffusion Processes (26:09) Open Source vs. Proprietary AI Models (30:16) Making Compute Resources More Accessible (34:30) Reducing Compute Requirements in AI Models (38:52) The Concept of World Models in AI Research (41:50) The Future of AI and the Fallacy of Scaling | |||
| 06 May 2024 | #185 Damon Rasheed & Saurabh Jain: Achieving Up to 90% Accuracy in Predicting Drug Clinical Trial Outcomes with Opyl's Trialkey.ai | 00:51:55 | |
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
Unlock the secrets of clinical trial predictions with Saurabh Jain and Damon Rasheed from Opyl & TrialKey.ai on this episode of Eye on AI. In today’s discussion, delve into how TrialKey's pioneering AI model can predict the success of clinical trials with astonishing accuracy—about 90%. Learn about the innovative use of over 400,000 past trials to enhance the precision and efficiency of new pharmaceutical trials. Saurabh and Damon share how their technology not only predicts outcomes but also optimizes trial design, saving substantial time and resources in the drug development process. The episode also covers the sophisticated data processing techniques employed by TrialKey, including natural language processing to extract vital variables from complex datasets, and the strategic use of these insights to improve trial designs. Discover the implications of poorly designed trials and how AI can revolutionize their structure for better success rates. Tune in to gain a deeper understanding of how AI and machine learning are transforming the pharmaceutical landscape, making clinical trials more predictive and efficient. Saurabh and Damon’s expertise offers a glimpse into the future of medical research and investment, emphasizing the role of AI in enhancing decision-making and resource allocation in healthcare. Remember to like, subscribe, and hit the notification bell to keep up with the latest innovations and discussions reshaping the future of artificial intelligence and healthcare.
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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| 22 Oct 2018 | Episode 4 - Kaifu Lee | 00:26:59 | |
In this episode of Eye on AI, I talk to Kaifu Lee, a thought leader on AI in China. Kaifu just published the book, AI Superpowers: China, Silicon Valley, and the New World Order. We talked about the premise of the book, which is that China has already caught up with the US in the field of AI and is poised to surpass it. While China may lag on basic research, it has the formula to excel in implementation. I hope you find Kaifu as interesting as I did. | |||
| 14 Aug 2024 | #203 Xun Wang: How Bloomreach is Shaping the Future of AI-Powered E-Commerce | 00:56:47 | |
Check our BloomReach: https://www.bloomreach.com Explore Loomi AI: https://www.bloomreach.com/en/products/loomi Other BloomReach products: https://www.bloomreach.com/en/products
In this episode of the Eye on AI podcast, we sit down with Xun Wang, Chief Technology Officer at Bloomreach, to explore the power of AI in the world of e-commerce.
Xun takes us on a journey through his career, from his early days at NVIDIA, where he played a pivotal role in the evolution of parallel computing and GPU technology, to his current leadership at Bloomreach, a company at the forefront of AI-driven commerce solutions.
He shares how Bloomreach is disrupting the e-commerce landscape with its AI-powered platform, helping brands and retailers enhance customer experiences through personalized search and recommendations.
We dive deep into the technical side of Bloomreach's AI services, including Loomi AI, which integrates various AI capabilities such as search, recommendations, and segmentation. Xun explains how these services work together to deliver highly personalized shopping experiences that boost engagement and conversion rates.
Xun sheds light on the company’s innovative use of generative AI and large language models to improve search relevance and personalization, offering listeners a glimpse into the future of e-commerce.
Tune in to discover how Bloomreach is leveraging cutting-edge AI technologies like two-tower neural networks and their Customer Data Engine (CDE) to redefine the online shopping experience.
Join us as we explore the intersection of AI and commerce, and learn how Bloomreach is setting new standards for personalized online experiences.
Don’t forget to like, subscribe, and hit the notification bell for more deep dives into the latest AI innovations.
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI | |||
| 09 Jun 2024 | #192 Lukas Biewald: How Weights and Biases Supercharges Machine Learning | 00:42:21 | |
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, join us as we sit down with Lukas Biewald, CEO & co-founder of Weights & Biases, the AI developer platform with tools for training models, fine-tuning models, and leveraging foundation models. Lukas takes us through his journey, from his early days at Stanford and his work in natural language processing, to the founding of CrowdFlower and its evolution into a major player in data annotation. He shares the insights that led him to start Weights and Biases, aiming to provide comprehensive tools for the entire machine learning workflow. Lukas discusses the importance of high-quality data annotation, the shift in AI applications, and the role of reinforcement learning with human feedback (RLHF) in refining large models. Discover how Weights and Biases helps ML practitioners with data lineage and compliance, ensuring that models are trained on the right data and adhere to regulatory standards. Lukas also highlights the significance of tracking and visualizing experiments, retaining intellectual property, and evolving the company's products to meet industry needs. Tune in to gain valuable insights into the world of ML Ops, data annotation, and the critical tools that support machine learning practitioners in deploying reliable models. Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Intro (01:39) Lukas's Background and Career (04:09) Founding CrowdFlower and Early Machine Learning (06:59) Current Trends in Machine Learning (08:46) Reinforcement Learning with Human Feedback (RLHF) (12:43) Weights and Biases: Origin and Mission (16:44) Visualizations and Compliance in AI (22:43) US vs. EU AI Regulations (25:20) Importance of Experiment Tracking in ML (28:47) Evolving Products to Meet Industry Needs (30:38) Prompt Engineering in Modern AI (33:34) Challenges in Monitoring AI Models (37:25) Monitoring Functions of Weights and Biases (39:33) Future of Weights and Biases | |||
| 20 May 2024 | #188 Edward Balassanian: The Evolution of AI Music | 00:50:35 | |
This episode is sponsored by Vanta, The security and compliance platform trusted by more than 7,000 customers.With Vanta, you can unify your security program management with a built-in risk register and reporting, and proactively manage security reviews with AI-powered security questionnaires. Listeners get $1,000 off Vanta at vanta.com/eyeonai
In this episode of the Eye on AI podcast, join us for an insightful conversation with Edward Balassanian, CEO and founder of Aimi, a trailblazer in the realm of generative AI music. Edward takes us through his fascinating journey from engineering and computer science to pioneering a platform that transforms music into a dynamic, interactive service. Aimi’s innovative approach to AI-generated music is redefining the industry by enabling both amateurs and professionals to create high-quality, customized music. Discover the technical and legal challenges unique to the AI music space, and how Aimi’s bottom-up approach to music creation sets it apart from other AI music initiatives. Edward delves into the complexities of training models with ethically sourced, high-quality data, and explains the importance of maintaining human elements in generative music. Explore the vast potential of music as a service and how Aimi is revolutionizing industries like gaming, social media, and content creation by integrating seamless, non-repetitive music into various applications. Edward also shares real-world examples and future plans for Aimi, emphasizing the role of AI in amplifying human creativity. Tune in to understand the transformative impact of AI on music and how Aimi is leading the charge in this exciting frontier. Don't forget to like, subscribe, and hit the notification bell for more insights into the cutting-edge technologies driving the AI revolution.
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere. If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI | |||
| 05 Feb 2019 | Episode 8 - Bernhard Schölkopf & Matthias Bethge | 00:22:00 | |
In this episode of Eye on AI, I continue my review of AI research in different regions of the world with a focus on Europe. Europe, with its strong academic tradition, faces unique challenges in scientific research because of the continent's fragmentation and the weakening of the European Union. Given the growing dominance of North America and China, Europe risks being left behind. To understand what Europe is doing to avoid this, I talk to Bernhard Schölkopf and Matthias Bethge, two machine learning researchers from Tübingen, Germany, who have been working to bring machine learning research in Europe under one umbrella. I hope you find Bernhard and Matthias as interesting as I did. | |||
| 16 Aug 2023 | #134 Alex Zhavoronkov: Unraveling AI's Crucial Role in Pharma | 01:23:15 | |
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 | |||
| 04 Nov 2020 | Opening AI Career Paths in Government and funding STEM education | 00:37:17 | |
This week, NSCAI commissioner Jose-Marie Griffiths talks about her line of effort's recommendations to increase STEM related educational funding by $8 billion in order to prime the pump for an AI ready workforce and to make a variety of bureaucratic changes that will open AI related career pathways for government employees. | |||
| 11 Oct 2023 | #144 Matt Hicks: Red Hat’s CEO on Open Source, Linux, and the AI Revolution | 00:56:47 | |
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 | |||
| 04 Mar 2025 | #240 Manos Koukoumidis: Why The Future of AI is Open-Source | 01:06:03 | |
This episode is brought to you by Sonar, the creators of SonarQube Server, Cloud, IDE, and the open source Community Build.
Sonar unlocks actionable code intelligence, helping to redefine the software development lifecycle by use of AI and AI agentic systems, to continuously improve quality and security while reducing developer toil. By analyzing all code, regardless of who writes it—your internal team or genAI—Sonar enables more secure, reliable, and maintainable software. Join the over 7 million developers from organizations like the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile, who use Sonar.
Visit http://sonarsource.com/eyeonai to try SonarQube for free today.
———————————————————————————————————————— The Future of AI is Open-Source | Manos Koukoumidis on UMI & The AI Revolution Is closed AI holding back innovation? In this episode, Manos Koukoumidis, CEO of Oumi, makes the case for why the future of AI must be open-source. OUMI (Open Universal Machine Intelligence) is redefining how AI is built—offering fully open models, open data, and open collaboration to make AI development more transparent, accessible, and community-driven. Big Tech has dominated AI, but UMI is challenging the status quo by creating a platform where anyone can train, fine-tune, and deploy AI models with just a few commands. Could this be the Linux moment for AI? What You’ll Learn in This Episode:
The AI revolution is happening—and it’s open-source. If you care about the future of AI, innovation, and ethical tech development, this episode is a must-watch. ————————————————————————————————————————
This episode is sponsored by Thuma.
Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.
To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai
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(00:00) The True Meaning of Open-Source AI (02:15) The Open vs. Closed AI Debate (07:54) Why Open AI Models Are Safer (10:34) Defining Open Data (13:21)Beating GPT-4-O with an Open AI Model (16:36) Open AI in Healthcare (19:31) Why Open Models Will Dominate (23:07) How OUMI Makes AI Training Fully Accessible & Reproducible (28:44) UMI’s Collaboration with Universities (32:29) The Shift Toward Open A (36:41) Can We Build Truly Open AI Models from Scratch? (40:20) The Role of Open AI in Eliminating Bias (45:02) Will Open AI Replace Proprietary AI Models? (50:19) How OUMI Works (54:44) The Open AI Revolution Has Begun
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| 03 Feb 2025 | #235 Vall Herard: The Future of AI-Driven Compliance (Saifr.ai) | 00:51:55 | |
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of Eye on AI, Vall Herard, CEO of Saifr.ai, joins Craig Smith to explore how AI is transforming compliance in financial services.
Saifr.ai acts as a "grammar check" for regulatory compliance, ensuring AI-generated content meets SEC, FINRA, and global financial regulations. Vall explains how Saifr integrates into Microsoft Word, Outlook, and Adobe, reducing compliance risks in marketing, emails, and AI chatbots.
We also discuss Saifr.ai’s partnership with Microsoft, AI’s role in regulated industries, and how businesses can safely adopt generative AI without violating compliance laws. Find out in this deep dive into AI, compliance, and the future of regulation. Like, subscribe, and hit the notification bell for more AI insights!
Strengthen your compliance controls with AI: https://saifr.ai/
Stay Updated:
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| 09 Oct 2024 | #212 Thomas Dietterich: The Future of Machine Learning, Deep Learning and Computer Vision | 00:56:27 | |
This episode is sponsored by Speechmatics. Check it out at www.speechmatics.com/realtime
Today, we're joined by Dr. Thomas G. Dietterich, a pioneer in machine learning who recently was honored with the Award for Research Excellence from the International Joint Conference on Artificial Intelligence, one of the top awards for AI researchers.
Dietterich traces the field's progression from early rule-based systems to modern machine learning paradigms and delves into his work on novel category detection and open set problems. He also discusses the evolution of ensemble methods in the context of large language models (LLMs), highlighting the shift from combining many cheap models to more selective approaches with expensive models.
He advocates for a foundation model approach to capture the variability of the world.
Join us for a deep dive into the future of AI, where Thomas explains why the development of novel materials and drugs may have the most transformative impact on our economy. Plus, hear about his latest work on multi-instance learning, weak supervision, and the role of reinforcement learning in real-world applications like wildfire management.
Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest trends and insights in AI and machine learning!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Thomas Dietterich's Machine Learning Journey (02:34) The Early Days of Machine Learning and AI Systems (04:29) Tackling the Multiple Instance Problem in Drug Design (05:41) AI in Sustainability (07:17) The Challenge of Novelty Detection in AI Systems (08:00) Addressing the Open Set Problem in Cybersecurity and Computer Vision (09:11) The Evolution of Deep Learning in Computer Vision (11:21) How Deep Learning Handles Novel Representations (12:01) Foundation Models and Self-Supervised Learning (14:11) Vision Transformers vs. Convolutional Neural Networks (16:05) The Role of Multi-Instance Learning in Weakly Labeled Data (18:36) Ensemble Learning and Deep Networks in Machine Learning (20:33) The Future of AI: Large Language Models and Their Applications (23:51) Symbolic Regression and AI’s Role in Scientific Discovery (34:44) AI in Wildfire Management: Using Reinforcement Learning (39:32) AI-Driven Problem Formulation and Optimization in Industry (41:30) The Future of AI Reasoning Systems and Problem Solving (45:03) The Limits of Large Language Models in Scientific Research (50:12) Closing Thoughts: Open Challenges and Opportunities in AI
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| 20 May 2020 | Episode 39 - Katharina McFarland | 00:42:06 | |
In the third episode of six episodes looking at the National Security Commission on AI 's first quarter recommendations to Congress, we speak with Katharina McFarland, a former Assistant Secretary of Defense for Acquisition, about the commission's recommendation that the Department of Defense and the Office of the Director of National Intelligence establish a steering committee on emerging technology to ensure that AI for national security gets top priority in the years ahead. | |||
| 18 Oct 2023 | #146 Viren Jain: How Google's AI is Pioneering Brain Mapping Research | 01:03:16 | |
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.
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
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| 19 Aug 2020 | The Conundrum of AI Export Controls with Jason Matheny | 00:38:31 | |
Jason Matheny, an NSCAI commissioner who now leads a think tank at Georgetown University focused on the intersections of technology, policy and national security, | |||
| 13 Apr 2023 | Yoshua Bengio: Pausing More Powerful AI Models and His Work on World Models | 00:40:57 | |
In this episode of the Eye on A.I. podcast, host Craig Smith interviews Yoshua Bengio, one of the founding fathers of deep learning and a Turing Award winner. Bengio shares his insights on the famous pause letter, which he signed along with other prominent A.I. researchers, calling for a more responsible approach to the development of A.I. technologies. He discusses the potential risks associated with increasingly powerful A.I. models and the importance of ensuring that models are developed in a way that aligns with our ethical values. | |||
| 18 Sep 2024 | #208 Michael Martin: How AI is Saving Lives Every Day (Inside RapidSOS’s Groundbreaking Tech) | 00:54:26 | |
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
In this episode of the Eye on AI podcast, Craig Smith sits down with Michael Martin, CEO of RapidSOS, to explore how AI and connected devices are aiding emergency response and public safety.
With billions of sensor feeds from over 540 million devices—including wearables, vehicles, and security systems—RapidSOS integrates life-saving data to provide real-time support for 911 and first responders across the U.S. and beyond. Michael shares how their platform is reducing response times, improving accuracy, and transforming the way emergencies are handled by public safety agencies.
We dive deep into RapidSOS’s AI-powered platform, which fuses human and machine intelligence to deliver faster, more effective emergency responses. Michael also discusses the challenges of scaling such technology globally, the role of AI in predictive emergency management, and the importance of integrating these solutions into legacy systems used by first responders.
Whether it’s saving lives through faster 911 responses, preventing emergencies before they happen, or leveraging AI to enhance public safety, this episode offers a compelling look at the future of emergency services. Join us to uncover how technology is reshaping public safety and emergency response on a global scale.
Don’t forget to like, subscribe, and hit the notification bell for more cutting-edge discussions on AI, emergency services, and technology innovation!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview (01:58) RapidSOS and Michael Martin’s Journey (06:39) Integration w/ Wearable Devices and Home Systems (11:59) RapidSOS’s Use Cases (23:12) RapidSOS’ Foundational Models (31:31) How RapidSOS Handles Data (36:11) How RapidSOS Aids Public Safety (49:56) Is RapidSOS Integrated into Hospitals? (53:00) EmergencyProfile.org Role In Helping First Responders (55:36) The Future of Public Safety with AI and RapidSOS | |||
| 27 Sep 2023 | #140 Isabelle Guyon: The Future of AI and Support Vector Machines | 00:47:11 | |
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
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| 04 Nov 2019 | Episode 27 - Eric Schmidt and Robert O. Work | 00:46:15 | |
Former Google chief executive Eric Schmidt and former Deputy Defense Secretary Bob Work, co-chairs of the U.S. National Security Commission on AI, talk about the challenges the government faces in winning support from a skeptical private sector and in maintaining engagement with China while ensuring that that engagement doesn’t work to America’s detriment.
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| 20 Feb 2025 | #238 Dominic Williams Reveals His Vision for the Internet Computer (ICP) | 01:14:52 | |
This episode is sponsored by Indeed. Stop struggling to get your job post seen on other job sites. Indeed's Sponsored Jobs help you stand out and hire fast. With Sponsored Jobs your post jumps to the top of the page for your relevant candidates, so you can reach the people you want faster.
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Dominic Williams’ Bold Vision for The Internet Computer (ICP) | The Future of Decentralized Computing
The internet is broken—can blockchain fix it? In this episode, Dominic Williams, the visionary behind The Internet Computer (ICP) and founder of DFINITY, reveals his plan to build a decentralized alternative to cloud computing. Discover how ICP is challenging Big Tech, replacing traditional IT infrastructure, and creating a tamper-proof, autonomous internet powered by smart contracts.
What You'll Learn in This Episode:
Don't miss this deep dive into the future of the internet! If you're interested in blockchain, decentralization, and the next evolution of the web, this episode is for you.
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) The Origins of The Internet Computer (02:57) Dominic Williams’ Background in Tech (04:28) Early Innovations in Distributed Computing (07:08) The Birth of a 'World Computer' Concept (11:22) Reimagining IT: A Decentralized Alternative (13:45) The Creation of DFINITY and ICP (16:29) How ICP Differs from Traditional Blockchains (22:05) The Problem with Cloud-Based Blockchains (25:35) How ICP Ensures True Decentralization (29:25) AI & The Self-Writing Internet (35:24) How ICP Hosts AI & Smart Contracts (40:23) Understanding Reverse Gas and ICP’s Economy (45:03) The Vision: A Truly Decentralized Internet (49:09) How To Use The Internet Computer (52:01) The Role of Nodes & Incentives in ICP (56:53) The Future of Web3 & Decentralized Applications (01:05:49) The Misconception of ‘On-Chain’ & Blockchain Hype
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| 27 May 2020 | Episode 40 - Jason Matheny | 00:35:55 | |
NSCAI Commissioner Jason Matheny talks about his line of effort regarding cooperation on AI with key allies and partners. He spoke about his group's recommendations that the government establish a senior national security point of contact for AI and convene a multilateral working group for AI collaboration and interoperability - as well as the need for AI war games. | |||
| 05 Jun 2019 | Episode 16 - Trae Stephens and Brian Schimpf | 00:52:53 | |
This week I talk to Trae Stephens and Brian Schimpf from Anduril Industries, an AI defense contractor, about the current state of AI research and deployment for national security, including how the US stacks up against China. We also talked about the resistance among US engineers to work on defense applications and whether that hobbles the US in the global AI arms race. | |||
| 28 Apr 2023 | Danny Tobey: At the Intersection of Law and Artificial Intelligence | 00:55:42 | |
In this podcast, we sit down with Danny Tobey, an attorney with the global law firm DLA Piper, to discuss the changing legal dynamics surrounding artificial intelligence. As one of the leading experts in the field, Danny provides valuable insights into the current state of legislation and regulation, the efforts of regulatory bodies like the Federal Trade Commission in tackling issues related to AI, and how the law firm of the future will look as AI continues to transform the economy. | |||
| 18 Nov 2024 | #219 Avthar Sewrathan: How to Build Smarter AI Applications with PostgreSQL | 00:51:09 | |
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, Avthar Sewrathan, Lead Technical Product Marketing Manager at Timescale joins Craig Smith to explore how Postgres is transforming AI development with cutting-edge tools and open-source innovation.
With its robust, extensible framework, Postgres has become the go-to database for AI applications, from semantic search to retrieval-augmented generation (RAG). Avthar takes us through Timescale's journey from its IoT origins to disrupting the way developers handle vector search, embedding management, and high-performance AI workloads—all within Postgres.
We dive into Timescale's tools like PGVector, PGVector Scale, and PGAI Vectorizer, uncovering how they aid developers to build AI-powered systems without the complexity of managing multiple databases. Avthar explains how Postgres seamlessly handles structured and unstructured data, making it the perfect foundation for next-gen AI applications.
Learn how Postgres supports AI-driven use cases across industries like IoT, finance, and crypto, and why its open-source ecosystem is key to fostering collaboration and innovation.
Tune in to discover how Postgres is redefining AI databases, why Timescale’s tools are a game-changer for developers, and what the future holds for AI innovation in the database space.
Don’t forget to like, subscribe, and hit the notification bell for more AI insights!
Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Avthar and Timescale (02:35) The origins of Timescale and TimescaleDB (05:06) What makes Postgres unique and reliable (07:17) Open-source philosophy at Timescale (12:04) Timescale's early focus on IoT and time series data (16:17) Applications in finance, crypto, and IoT (19:03) Postgres in AI: From RAG to semantic search (22:00) Overcoming scalability challenges with PGVector Scale (24:33) PGAI Vectorizer: Managing embeddings seamlessly (28:09) The PGAI suite: Tools for AI developers (30:33) Vectorization explained: Foundations of AI search (32:24) LLM integration within Postgres (35:26) Natural language interfaces and database workflows (38:11) Structured and unstructured data in Postgres (41:17) Postgres for everything: Simplifying complexity (44:52) Timescale’s accessibility for startups and enterprises (47:46) The power of open source in AI | |||