Eye On A.I.

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.

Paras Jain, CEO and co-founder of Genmo, dives into the revolutionary realm of AI video generation. He shares insights on their model, Mochi One, which enhances motion quality and prompt adherence. The discussion covers the significance of open source in fostering innovation and customization, highlighting Genmo's major advancements, including a 10 billion parameter model. Jain also explores the intersection of video tech with gaming, emphasizing future possibilities like interactive environments. Discover how Genmo is set to redefine creative storytelling in the digital era!

Jamie Lerner, CEO of Quantum, is at the helm of innovations in unstructured data management and storage for industries like healthcare and media. He discusses transformative technologies including high-speed flash storage and cost-effective tape solutions. Lerner dives into the challenges of managing unstructured data, the role of metadata for efficiency, and how Quantum is enhancing AI workflows. The conversation also touches on future data storage trends and the importance of compliance and innovative archival strategies.

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 dive into the transformative world of AI compute infrastructure with Mitesh Agrawal, Head of Cloud/COO at Lambda   Mitesh takes us on a journey from Lambda Labs' early days as a style transfer app to its rise as a leader in providing scalable, deep learning infrastructure. Learn how Lambda Labs is reshaping AI compute by delivering cutting-edge GPU solutions and accessible cloud platforms tailored for developers, researchers, and enterprises alike.   Throughout the episode, Mitesh unpacks Lambda Labs’ unique approach to optimizing AI infrastructure—from reducing costs with transparent pricing to tackling the global GPU shortage through innovative supply chain strategies. He explains how the company supports deep learning workloads, including training and inference, and why their AI cloud is a game-changer for scaling next-gen applications.   We also explore the broader landscape of AI, touching on the future of AI compute, the role of reasoning and video models, and the potential for localized data centers to meet the growing demand for low-latency solutions. Mitesh shares his vision for a world where AI applications, powered by Lambda Labs, drive innovation across industries.   Tune in to discover how Lambda Labs is democratizing access to deep learning compute and paving the way for the future of AI infrastructure.   Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest in AI, deep learning, and transformative tech! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction and Lambda Labs' Mission (01:37) Origins: From DreamScope to AI Compute Infrastructure (04:10) Pivoting to Deep Learning Infrastructure (06:23) Building Lambda Cloud: An AI-Focused Cloud Platform (09:16) Transparent Pricing vs. Hyperscalers (12:52) Managing GPU Supply and Demand (16:34) Evolution of AI Workloads: Training vs. Inference (20:02) Why Lambda Labs Sticks with NVIDIA GPUs (24:21) The Future of AI Compute: Localized Data Centers (28:30) Global Accessibility and Regulatory Challenges (32:13) China’s AI Development and GPU Restrictions (39:50) Scaling Lambda Labs: Data Centers and Growth (45:22) Advancing AI Models and Video Generation (50:24) Optimism for AI's Future (53:48) How to Access Lambda Cloud