Ship AI

Manav Gupta
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  • TECHNOLOGY

From 0 to Production. Practical tips, tricks, and best practices to make AI useful for production in the real world!

Episodes

  1. 1D AGO

    Episode 5 - AI Gets a Body

    Episode Summary: When AI Gets a Body This episode explores the paradigm shift from digital AI to physical AI—what happens when chatbots become robots. We trace the evolution from Karel Čapek's 1920 coining of "robot" to today's Cambrian explosion of humanoids, autonomous vehicles, drones, and brain-computer interfaces. Chapters:00:00 The Dawn of Physical AI 11:32 The $50 Trillion Opportunity15:54 Basics of Robotics28:07 Humanoids37:56 Autonomous Vehicles45:13 Defense AI54:17 Space AI57:22 Brain Computer Interface01:07:42 The Human Dimension01:11:15 Key Takeaways

    1h 14m

  2. FEB 10

    Lawrence Wan, Chief Architect, BMO

    Episode Overview Lawrence Wan, Chief Architect and Innovation Officer at Bank of Montreal, shares insights on how one of Canada's largest financial institutions approaches technology transformation, AI adoption, and the future of agentic systems in a heavily regulated industry. 00:00 Introduction to Lawrence Van and BMO 05:01 The Role of Technology in Banking 11:19 Designing for Scale and Future Technologies 16:57 AI in Banking: Current Applications and Future Prospects 21:50 Generative AI: Productivity Gains and Challenges 28:22 The Future of AI Agents in Banking 33:34 The Evolving Role of Technologists in Banking

    39 min

  3. FEB 3

    AI In Banking - Vinh Tran, RBC

    AI In Banking - Vinh Tran, VP Data & AI, RBC In this episode, Vinh Tran—VP of Data and AI Platforms at RBC and an RBC Fellow—shares how one of the world's largest banks is approaching AI at enterprise scale. Key Takeaways "You have to control AI in order to scale it." Vinh explains that governance isn't about going slow—it's about building confidence. RBC invests heavily upfront in platforms, guardrails, and standardization so they can then open the doors and scale with assurance. The Control Plane Approach: RBC has built a comprehensive AI control plane that includes: A centralized LLM gateway controlling which models can be used (currently 6-8 rigorously validated models)An MCP gateway for managing agent-to-tool connections with proper authenticationA controlled runtime environment for monitoring agent behavior at the transport levelAn agent registry for inventory management and lifecycle control 00:00 Introduction to AI in Banking 02:01 The Role of AI in Enhancing Customer Experience 04:03 Governance and Compliance in AI Models 08:53 Control Plane: Ensuring Safe AI Deployment 14:53 Control Plane for Scaling AI 20:47 AI Guardrails 26:05 AI Agents and Standards 32:20 Predictions for the future 36:34 Advice for Aspiring Technologists

    41 min

  4. FEB 2

    Episode 4 - AI At Work

    The conversation explores the impact of AI adoption on the labor market, job tasks, disruption, and fluency. It delves into the Jevons Paradox, AI maturity gap, CEO mandates, labor market divergence, and productivity evidence, highlighting the reshaping of the labor market and the baseline expectation of AI proficiency at organizations. Slides can be found at: https://manavgup.github.io/shipai/state-of-ai/ep04/1 Takeaways AI adoption is reshaping the labor marketAI proficiency is now a baseline expectation at many organizations Chapters 00:00 The State of AI in the Labor Market00:00 Introduction to AI's Impact on the Job Market10:51 CEO Mandates for AI Proficiency15:58 The AI Maturity Gap in Companies21:14 The Reality of AI Adoption and Worker Sentiment28:40 Week-Long Action Plan for AI Adoption29:56 Wrapping Up31:45 Preview of Next Episode

    33 min

  5. JAN 27

    Episode 3 - The Red Silicon Curtain

    Sanctions didn't kill Chinese AI—they mutated it into something more formidable: a leaner, inference-optimized, vertically-integrated competitor. In this episode, we unpack how US export controls forced Chinese AI labs to innovate "up the stack," producing breakthroughs like DeepSeek's R1 model that matched frontier performance at a fraction of the cost. We explore China's $47.5 billion sovereign compute bet, the open-source war between Qwen, Llama, and Yi, and why China is deploying "good enough" humanoid robots at $16,000 while the West waits for AGI at $100,000+. This is the story of how constraint creates innovation—and what it means for enterprise leaders navigating a bifurcating global AI landscape. Chapters: 00:00 The Mutation of Chinese AI05:15 DeepSeek's Disruption and Innovations15:53 The Open Source Revolution in AI29:04 China's National AI Strategy36:32 The Rise of Humanoid Robots46:29 Enterprise Implications and Strategic Questions

    51 min

  6. JAN 20

    Episode 2 - Follow the Money

    In 2014, the largest tech companies spent $44 billion on capital investments. By 2024, that number passed $200 billion—almost all of it tied to AI. This isn't an innovation budget. This is the largest concentrated capital investment in corporate history. In this episode, we follow the actual dollars: where they're going, why they're going there, and what has to be true for this multi-trillion dollar bet to pay off. We unpack the circular funding loops between OpenAI, Microsoft, NVIDIA, and Oracle. We examine why training costs 2.25x more than inference—and why that ratio has to flip. We explore the hidden taxes emerging around data licensing, regulatory compliance, and talent wars. But here's what changes everything: nation states have committed over $500 billion to AI infrastructure since 2024. Saudi Arabia, UAE, France, South Korea—they're not playing by Silicon Valley rules. This is sovereign capital operating on political timelines, and it's providing a floor that reshapes the entire investment thesis. Takeaways AI infrastructure investments are driven by nation states and tech giantsThe emergence of a circular funding ecosystem is reshaping the AI industry Small language models offer efficiency, speed, and accessibility, leading to productivity gains and cost savings for enterprises.The AI industry faces challenges related to hidden costs, margin compression, regulatory compliance, and the impact of new entrants on the market. Chapters 00:00 Act 1 - The State of AI Investment08:48 AI Circular Economy17:24 $4T TAM19:42 Act 2 - The AI Machine25:39 Energy Constraints and Rise of Energy Industrial Complex28:23 Act 3 - The Hidden Costs37:11 Act 4- Business Model Crisis48:42 Act 5 - The Path Forward51:31 Nation States as New Players in AI54:22 Global AI Investment Landscape57:42 Emerging AI Business Models01:00:31 The Rise of Open Source AI01:03:20 Vertical AI Economics and New Models01:06:10 The Shift to Small Language Models• • 01:09:03 Future Trends in AI Investment

    1h 11m

  7. JAN 13

    Episode 1 - The Speed of Now

    The conversation delves into the exponential growth of AI models, the impact of compute abundance, global adoption of AI, and the comparison of AI performance with human capability. It explores the rapid evolution of AI technology and its implications on various aspects of society and industry. All slides can be found at: https://manavgup.github.io/shipai/state-of-ai/ep01/1 Takeaways Exponential Growth of AI ModelsImpact of Compute AbundanceGlobal Adoption of AIAI Performance vs. Human Capability AI performance is tightly coupled to the size of the training dataFrontier AI models are fundamentally data-drivenCompute investments into AI models determine their size and learning capabilityAI progress is driven by compute, algorithms, and dataAI adoption is accelerating faster than any previous technology wave Chapters 00:00 The Speed of Now: Understanding AI's Rapid Evolution03:01 The Forces Behind AI's Acceleration05:47 The Impact of Moore's Law on AI08:31 The Role of Major Tech Companies in AI Growth11:27 Historical Context: 70 Years of AI Development14:38 NVIDIA's Rise and the End of Geographic Lag17:29 The Four Enablers of AI's Meteoric Rise20:20 Global Adoption and the New Reality of AI23:24 The Cambrian Explosion of AI Models26:17 AI Performance vs. Human Performance29:01 The Growth of Data Sets in AI Models29:47 The Exponential Growth of AI Data Sets32:58 The Role of Compute in AI Advancement36:42 Algorithmic Progress and Its Impact39:38 Benchmarking AI Performance Against Human Intelligence45:10 Enterprise Adoption of AI Technologies52:46 Key Learnings from AI Implementations

    1 hr

  8. 08/10/2025

    Episode 1: GPT-5, Opus 4.1, GPT-OSS-2B, and more!

    In this first episode, Manav Gupta and Mihai Criveti put the latest AI models through their paces in a head-to-head coding challenge. Watch as Claude Opus 4.1, GPT-5, and the open-source GPT OSS 20 billion compete to build interactive games and applications from simple prompts. Highlights: Live coding challenges including Snake, Minesweeper, and a Prince of Persia cloneReal-time comparison of how each model handles game development, from basic functionality to "kawaii" stylingTesting complex technical tasks like creating IBM mainframe architecture diagramsClassic AI benchmark tests (counting letters, arithmetic problems) with surprising resultsMihai runs GPT OSS locally on his own GPU, showcasing impressive open-source capabilitiesKey Takeaways: Claude Opus 4.1 emerges as the overall winner with cleaner interfaces and superior artifact managementGPT-5 shows promise but struggles with canvas implementationOpen-source models are rapidly closing the gap with commercial offeringsDiscussion on how these tools are reshaping the future of software development

    40 min
  • 8 Episodes

About

From 0 to Production. Practical tips, tricks, and best practices to make AI useful for production in the real world!

Information

  • Creator
    Manav Gupta
  • Years Active
    2025 - 2026
  • Episodes
    8
  • Rating
    Clean
  • Copyright
    © 2025 Manav Gupta
  • Show Website
    Ship AI