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. Can AI learn like humans? In this episode, Patrick Pilarski, Canada CIFAR AI Chair and professor at the University of Alberta, breaks down The Alberta Plan—a bold roadmap for achieving Artificial General Intelligence (AGI) through reinforcement learning and real-time experience-based AI. Unlike large pre-trained models that rely on massive datasets, The Alberta Plan champions continual learning, where AI evolves from raw sensory experience, much like a child learning through trial and error. Could this be the key to unlocking true intelligence? Pilarski also shares insights from his groundbreaking work in bionic medicine, where AI-powered prosthetics are transforming human-machine interaction. From neuroprostheses to reinforcement learning-driven robotics, this conversation explores how AI can enhance—not just replace—human intelligence. What You’ll Learn in This Episode: Why reinforcement learning is a better path to AGI than pre-trained models The four core principles of The Alberta Plan and why they matter How AI-driven bionic prosthetics are revolutionizing human-machine integration The battle between reinforcement learning and traditional control systems in robotics Why continual learning is critical for AI to avoid catastrophic forgetting How reinforcement learning is already powering real-world breakthroughs in plasma control, industrial automation, and beyond The future of AI isn’t just about more data—it’s about AI that thinks, adapts, and learns from experience. If you're curious about the next frontier of AI, the rise of reinforcement learning, and the quest for true intelligence, this episode is a must-watch. Subscribe for more AI deep dives! (00:00) The Alberta Plan: A Roadmap to AGI   (02:22) Introducing Patrick Pilarski (05:49) Breaking Down The Alberta Plan’s Core Principles   (07:46) The Role of Experience-Based Learning in AI   (08:40) Reinforcement Learning vs. Pre-Trained Models   (12:45) The Relationship Between AI, the Environment, and Learning   (16:23) The Power of Reward in AI Decision-Making   (18:26) Continual Learning & Avoiding Catastrophic Forgetting   (21:57) AI in the Real World: Applications in Fusion, Data Centers & Robotics   (27:56) AI Learning Like Humans: The Role of Predictive Models   (31:24) Can AI Learn Without Massive Pre-Trained Models?   (35:19) Control Theory vs. Reinforcement Learning in Robotics   (40:16) The Future of Continual Learning in AI   (44:33) Reinforcement Learning in Prosthetics: AI & Human Interaction   (50:47) The End Goal of The Alberta Plan  

Manos Koukoumidis, CEO of OUMI, champions the open-source AI movement, advocating for a transparent and collaborative approach to AI development. He argues that open-source is the sustainable path forward, contrasting it with the limitations of closed AI systems. The discussion delves into how OUMI empowers innovators to train and deploy AI models effortlessly, potentially leading to a pivotal moment for the industry. Koukoumidis also highlights the importance of shared resources in fostering ethical practices and diversity in AI.

Tuhin Srivatsa is the CEO and Co-founder of Baseten, a company revolutionizing machine learning infrastructure. In this engaging discussion, he tackles the broken nature of AI deployment and how Baseten is streamlining the process for enterprises. Discover the shift towards open-source AI and why it's a game-changer. Tuhin also highlights the hidden costs of AI inference, the reasons many models fail in production, and the exciting future of scalable AI infrastructure. This insightful conversation is a must-listen for those navigating the AI landscape.

Dominic Williams, founder of DFINITY and the visionary behind the Internet Computer (ICP), dives into the flaws of the current internet and proposes a revolutionary decentralized alternative. He elaborates on how ICP challenges giants like AWS and Google Cloud, emphasizing smart contracts to enhance internet security and censorship resistance. Williams also discusses the journey of Internet Computer from concept to reality, alongside its innovative architecture and the reverse gas mechanism that supports efficient decentralized computing. Tune in for a glimpse into the future of Web3!

Pedro Domingos, a leading AI researcher and author of 'The Master Algorithm', explores the Symbolist approach to AI. He discusses how Symbolic AI, dominant from the 1950s to the early 2000s, remains vital today. Domingos explains the Physical Symbol System Hypothesis and inverse deduction, showcasing its applications like decision trees and random forests that often outperform deep learning. He also delves into challenges like the knowledge acquisition bottleneck and the dynamic landscape of AI techniques, emphasizing the need for a diverse toolkit in AI development.

Pedro Domingos, a distinguished AI researcher and author, dives into the fascinating world of machine learning. He contrasts Bayesian and Frequentist approaches, illuminating the historical divide in probability interpretation. Discussing Bayesian networks, he reveals their critical role in AI decision-making and success in fields like medical diagnosis. Pedro also critiques deep learning, suggesting it's merely a twist on nearest-neighbor learning. He questions conventional views on AI regulation and the challenges of scalability in these models.

In this insightful discussion, Vall Herard, CEO of Saifr.ai—a pioneer in AI-driven compliance for financial services—shares his journey from Wall Street to leading a tech-driven solution. He reveals how Saifr.ai acts as a 'grammar check' for regulatory compliance, integrating seamlessly into Microsoft tools to mitigate risks in AI-generated content. Vall delves into the challenges of regulatory oversight, the transformative potential of AI in finance, and how to safely harness generative AI while adhering to compliance standards.

Tyler Xuan Saltsman, CEO of Edgerunner and innovator in generative AI for military uses, joins the conversation on AI's revolutionary impact on combat and warfare. He discusses how AI enhances decision-making in logistics and real-time military scenarios. The dialogue explores AI-driven drones that can autonomously neutralize threats, alongside the ethical implications of such technologies. Tyler also highlights the significance of human oversight in AI operations, ensuring that technology complements rather than replaces human judgment in critical situations.

Matt Price, CEO of Crescendo, shares insights on how generative AI is reshaping customer service. He discusses Crescendo's innovative blend of AI and human expertise, highlighting its ability to deliver support in 56 languages. The conversation dives into the transformative potential of focusing on outcome-based service, which boosts employee engagement while minimizing turnover. Matt also explores the importance of effective integration and training, ensuring AI and human agents work harmoniously for improved customer satisfaction.

Sepp Hochreiter, the inventor of Long Short-Term Memory (LSTM) networks and founder of NXAI, dives into the world of AI with insights from his pioneering work. He discusses the origins of LSTMs and their critical role in processing sequence data like speech and text. Sepp compares LSTMs to the newer transformer models, exploring their ongoing relevance, especially in real-time robotics. He shares his optimistic vision for AI's future, emphasizing efficiency and scalability as key to revolutionizing industries such as healthcare and autonomous vehicles.