Masters of Automation

Alp Uguray
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Masters of Automation is a podcast and article series on creative technologists, startup founders, and entrepreneurs who change the future of work and our lives through automation and artificial intelligence. We will cover their personal stories on what led them to innovate and build new products and services. The automation ecosystem evolves every day with new startups forming and technologies building, and it's best to hear the stories from the true #MastersofAutomation.

  1. 30 Mar

    ex-WHOOP PM, YC Founder Ben Katz: AI-Native Sports Training for Everyday Athletes & Why Coding Agents Are the New 10x Workforce

    The following is a conversation between Alp Uguray and Ben Katz. Summary In this episode of Masters of Automation, Alp Uguray sits down with Ben Katz, co-founder of Hybrd and former growth product manager at Whoop, to explore what happens when a lifelong athlete turns a personal frustration into a Y Combinator-backed AI fitness platform — and why the rules of building a startup have fundamentally changed. Ben's path is anything but linear. He started in sales, moved into analytics at Wayfair, spent years trying to break into product management, and eventually landed at Whoop — where he found the rare intersection of passion, craft, and career. After a stint at Apex, a mobile app portfolio company, he realized the founders he was evaluating weren't smarter than he was — they just had the agency to start. That was the push. Together with three co-founders — including a U.S. national rowing team member, a former Whoop analytics lead, and a senior AWS engineer who also happens to be a former U.S. national rugby player — Ben launched HYBRD on a plane to San Francisco, writing the first line of code en route to Y Combinator. The conversation opens with Ben's unconventional career arc — what he calls "getting an MBA by doing" — and how sales became the most underrated founder skill. From there, Alp and Ben trace the development of HYBRD: from the initial hypothesis that serious athletes don't want an app telling them what to do (which turned out to be wrong), to the breakthrough of invite-only user acquisition, to the science-backed training plan engine built in partnership with the University of Utah and Complete Human Performance, the company founded by Alex Viada — the man who literally wrote the book on HYBRD athletic training.…

    ex-WHOOP PM, YC Founder Ben Katz: AI-Native Sports Training for Everyday Athletes & Why Coding Agents Are the New 10x Workforce

  2. 17 Feb

    Snowflake VP of AI Baris Gultekin: No AI Strategy Without a Data Strategy & Why Skills Are the New Apps

    Baris Gultekin — VP of AI at Snowflake and co-creator of Google Now — joins Alp Uguray to unpack why the next era of AI won't be defined by better models, but by where intelligence lives relative to data. From the hard lessons of Google Assistant's brittle architecture to Snowflake's "bring AI to the data" thesis, Baris explains why trust, governance, and semantic understanding are the real unlock for enterprise agents. They explore how skills — modular instructions that agents load on-demand like Neo learning karate in The Matrix — are replacing traditional applications, how agent-to-agent protocols like MCP are reshaping the enterprise stack, and why the pie is growing so fast that the entire AI economy is lifting all boats.

    Snowflake VP of AI Baris Gultekin: No AI Strategy Without a Data Strategy & Why Skills Are the New Apps

  3. 24 Jan

    MIT Prof. Ramesh Raskar: The Internet of AI Agents: Why AGI Won’t Be One “God Model”?

    The following is a conversation between Alp Uguray and Professor Ramesh Raskar. Summary In this episode of Masters of Automation, Alp Uguray sits down with MIT Professor Ramesh Raskar to explore a future where AI shifts from centralized “foundries” (massive cloud models) to a world of personal, edge-based agents that we own, customize, and connect—an Internet of AI Agents (see Project NANDA). Raskar traces his journey from a small town near Nashik—where curiosity and constraint shaped his mindset—to being inspired by Jurassic Park, then “waking up” to the power of storytelling and human realism through South Park, which ultimately pulled him from computer graphics into machine learning and systems thinking. From there, the conversation dives into his core thesis: the next frontier isn’t bigger models—it’s AI that’s closer to your data, your context, and your control. They unpack the idea of Agent Zero (a private AI agent for every person), how agents might evolve through foundations → commerce → societies, and why the next big economic layer may be agent teaming/orchestration rather than models or apps. They also confront the two diverging futures: a “quiet dystopia” dominated by a few agent stores versus a “green curve” world of billions of micro-AIs empowering global creativity and shared prosperity. The episode closes with Project NANDA—Raskar’s effort to build core infrastructure for trust, naming, certification, interoperability, and ongoing attestation in an open agentic ecosystem (open-source repo, research paper). Guest Bio Professor Ramesh Raskar is an MIT professor and researcher known for building ambitious, system-level technologies spanning computer vision, machine learning, human-computer interaction, and decentralized AI.…

    MIT Prof. Ramesh Raskar: The Internet of AI Agents: Why AGI Won’t Be One “God Model”?

  4. 15/08/2025

    Liquid AI Head of Post Training Maxime Labonne, PhD: Edge AI and the Future of Localized Intelligence with Private, offline LLMs

    The following is a conversation between Alp Uguray and Maxime Labonne. Summary In this episode of the Masters of Automation podcast, host Alp Uguray interviews Maxime Labonne, discussing the challenges and innovations in running large language models (LLMs) on edge devices. They explore the importance of post-training techniques for enhancing small models, the future of local AI models, and the integration of AI into everyday applications. The conversation also touches on the role of context in AI performance, architectural considerations, and the dual paths of AI development. Maxim shares his journey from cybersecurity to AI, the use of AI in spam detection, and the potential of agent-to-agent communication. The episode concludes with insights on the future of AI in gaming and the importance of community in AI development. Takeaways Running LLMs on edge devices presents challenges like latency and model quality. Post-training techniques are crucial for enhancing small models' performance. Local AI models can provide privacy and customization for users. Agentic workflows can enhance AI's functionality in applications. Context windows are vital for AI reasoning and performance. Model architecture significantly impacts AI capabilities and efficiency. There are two paths in AI development: AGI and interpretable models. Maxime transitioned from cybersecurity to AI due to the open community. AI can be effectively used in cybersecurity for spam detection. Agent-to-agent communication in AI is still in its infancy.

    Liquid AI Head of Post Training Maxime Labonne, PhD: Edge AI and the Future of Localized Intelligence with Private, offline LLMs

  5. 15/07/2025

    MIT Prof. Stephen Wolfram: Computation, AGI, Language & the Future of Reasoning.

    In this conversation, Alp Uguray hosts Stephen Wolfram to discuss the intersection of computation, AI, and human intelligence. They explore the differences between large language models and formal computation, the concept of the Ruliad, and the limitations of AI in understanding complex mathematical proofs. The discussion also delves into the future of AI, the nature of communication and knowledge transfer among AI systems, and the implications of computational processes in the natural world. In this conversation, Stephen Wolfram discusses the nature of sensory data in AI, the implications of quantum mechanics on human cognition, and the future of education with a focus on computational thinking. He emphasizes the importance of foundational understanding in entrepreneurship and the need for adaptability in business. The discussion highlights the evolving landscape of technology and education, advocating for a shift from specialized skills to a more generalized approach to learning and thinking.

    MIT Prof. Stephen Wolfram: Computation, AGI, Language & the Future of Reasoning.

  6. 09/07/2025

    Part I: From MIT Researcher to YC Entrepreneur. Building Workflow Stack with AI w/ Bernard Aceituno

    The following is Part I of my conversation with Bernard Aceituno, Co-Founder of Stack AI (YC) and previously PhD at MIT. I will release Part II at another point as we will do the recording again. Here is a snippet of our conversation at MIT CSAIL, where Bernard spent 5 years researching. Summary In this engaging conversation, Bernard shares his eclectic journey from Venezuela to becoming a co-founder of Stack AI, detailing his academic background, entrepreneurial spirit, and the challenges faced in the startup world. He discusses the importance of collaboration, the evolution of AI in industry, and the significance of understanding customer needs. The conversation also touches on the dynamics of building a team, the role of research in product development, and the future of AI in enterprise automation. Takeaways Bernard's journey began in Venezuela, where he pursued his passion for science and technology. He transitioned from academia to entrepreneurship, driven by a desire to impact the world with technology. The importance of being in an entrepreneurial environment to stay motivated and focused. Collaboration with Tony led to the creation of Stack AI, focusing on solving real-world problems with AI. Y Combinator provided crucial support and validation for their startup idea. Understanding customer needs is essential for product development and success. The shift towards enterprise automation presents both challenges and opportunities for startups. Building a strong team with shared values is critical for growth and success. Transparency and explainability in AI are vital for building trust with customers. Immigrant founders often face unique challenges but also have access to valuable mentorship opportunities.

    Part I: From MIT Researcher to YC Entrepreneur. Building Workflow Stack with AI w/ Bernard Aceituno

  7. 09/07/2025

    The future of Digital Biomarkers, Responsible AI and Wearables w/Duke Prof. of AI Dr. Brinnae Bent

    Summary In this episode of the Masters Automation Podcast, Dr. Brinnae Bent shares her journey from a childhood filled with diverse experiences to becoming a leader in the intersection of healthcare and artificial intelligence. She discusses her work on digital biomarkers, the evolution of wearable technology, and the importance of responsible AI in healthcare. Dr. Bent also delves into her experiences as an ultra-marathoner, the impact of stress on performance, and the challenges of predictive healthcare models. In this conversation, Brinnae Bent discusses the complexities of AI, particularly in the context of healthcare and neuroscience. She emphasizes the importance of explainability in AI models, especially large language models (LLMs), and how they can be made more interpretable. The discussion also covers the role of education in shaping future technologies, with a focus on student engagement and the integration of AI in teaching. Bent shares insights on how students are approaching problem-solving in AI and the significance of open-ended projects. The conversation concludes with rapid-fire questions that explore personal insights and future aspirations in the field of AI. Takeaways Dr. Bent's journey into healthcare and AI was influenced by her early experiences as a certified nurse assistant. The evolution of wearable technology has democratized health monitoring. Digital biomarkers can transform vast amounts of data into actionable health insights. Open source projects in technology foster collaboration and innovation. Understanding the brain's functioning is crucial for developing effective healthcare solutions. Wearable devices have the potential to predict health conditions before traditional methods. Personal health data can encourage better lifestyle choices and interventions. Stress impacts the body similarly, regardless of its source. Acute stress can enhance performance, while chronic stress can lead to burnout.…

    The future of Digital Biomarkers, Responsible AI and Wearables w/Duke Prof. of AI Dr. Brinnae Bent

  8. 03/10/2024

    Building the Future of Enterprise AI: From Harvard PhD to YC Founder w/ Gokhan Egri

    Summary In this episode of Masters of Automation, host Alp Uguray interviews Gokhan Egri, a successful entrepreneur who transitioned from academia to the startup world. Gokhan shares his journey from Turkey to Harvard, his experiences in Y Combinator, and the evolution of his companies, O'Leo and Brainbase. The conversation delves into the challenges of being a solo founder, the importance of customer feedback, and the future of AI and automation in the workplace. Gokhan emphasizes the need for transparency in automation processes and discusses the unique insights that drive his approach to enterprise AI. The episode concludes with reflections on the immigrant founder experience and the personal inspirations that fuel Gokhan's entrepreneurial spirit. Key Takeaways Gokhan transitioned from academia to entrepreneurship after realizing the potential of AI. His first startup, O'Leo, was born out of a need for automation in education. Brainbase evolved from O'Leo, focusing on enterprise AI solutions. Customer feedback is crucial for shaping product development and messaging. The concept of the 'digital worker' is central to Brainbase's mission. ROI in automation can be measured through clear metrics and pilot programs. The 'black box test' helps identify automation opportunities within organizations. AI can significantly improve the efficiency of enterprise operations. Transparency in automation processes is essential for enterprise adoption. Immigrant founders often possess unique grit and adaptability that contribute to their success.

    Building the Future of Enterprise AI: From Harvard PhD to YC Founder w/ Gokhan Egri
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About

Masters of Automation is a podcast and article series on creative technologists, startup founders, and entrepreneurs who change the future of work and our lives through automation and artificial intelligence. We will cover their personal stories on what led them to innovate and build new products and services. The automation ecosystem evolves every day with new startups forming and technologies building, and it's best to hear the stories from the true #MastersofAutomation.

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