When AI makes creating content and code nearly free, how do you stand out? Differentiation now hinges on two things: unique taste and effective distribution.

This week, Bharat Vasan, founder & CEO at Intangible and a "recovering VC," explains why the AI landscape compelled him to return to founding. He sees AI sparking a new creative revolution, similar to the early internet, that makes it easier than ever to bring ideas to life. The conversation delivers essential advice for founders, revealing why relentless shipping is the ultimate clarifier for a business and why resilience, not just intelligence, is the key to survival.

Drawing from his experience on both sides of the venture table, Bharat breaks down the brutally competitive VC landscape and shares Intangible's mission: to simplify 3D creative tools with AI, finally bridging the gap between human vision and machine power. Listeners will gain insights on company building, brand strategy, and why customer obsession is the ultimate moat in the AI age.

Chapters:

00:00 Introduction

00:45 From Founder to VC and Back

03:17 Human Creativity in the Age of AI

07:50 The Role of Taste and Distribution

11:49 Building a Brand in the AI Era

16:17 The Venture Capital Landscape for AI Startups

20:11 Advice for Founders in the AI Boom

23:55 Incumbents vs. Startups

27:10 The New Generation of Innovators

29:19 Pirate Mentality in Startups

30:00 Building a Brand

36:28 Shipping and Resilience

41:49 Customer Obsession

46:58 The Vision for Intangible

51:52 Conclusion

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Connect with Bharat on LinkedIn.

Follow Bharat on X.

Learn more about Intangible at intangible.ai.

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Unlocking AI agents for knowledge work automation and scaling intelligent, multi-agent systems within enterprises fundamentally requires measurability, reliability, and trust.

João Moura, founder & CEO of CrewAI, joins Galileo’s Conor Bronsdon and Vikram Chatterji to unpack and define the emerging AI agent stack. They explore how enterprises are moving beyond initial curiosity to tackle critical questions around provisioning, authentication, and measurement for hundreds or thousands of agents in production. The discussion highlights a crucial "gold rush" among middleware providers, all racing to standardize the orchestration and frameworks needed for seamless agent deployment and interoperability. This new era demands a re-evaluation of everything from cloud choices to communication protocols as agents reshape the market.

João and Vikram then dive into the complexities of building for non-deterministic multi-agent systems, emphasizing the challenges of increased failure modes and the need for rigorous testing beyond traditional software. They detail how CrewAI is democratizing agent access with a focus on orchestration, while Galileo provides the essential reliability platform, offering advanced evaluation, observability, and automated feedback loops. From specific use cases in financial services to the re-emergence of core data science principles, discover how companies are building trustworthy, high-quality AI products and prepare for the coming agent marketplace.

Chapters:

00:00 Introduction and Guest Welcome

02:04 Defining the AI Agent Stack

03:49 Challenges in Building AI Agents

05:52 The Future of AI Agent Marketplaces

06:59 Infrastructure and Protocols

09:05 Interoperability and Flexibility

20:18 Governance and Security Concerns

24:12 Industry Adoption and Use Cases

25:57 Unlocking Faster Development with Success Metrics

28:40 Challenges in Managing Complex Systems

30:10 Introducing the Insights Engine

30:33 The Importance of Observability and Control

32:33 Democratizing Access with No-Code Tools

35:39 Ensuring Quality and Reliability in Production

41:08 Future of Agentic Systems and Industry Transformation

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Joao Moura: LinkedIn | X/Twitter

CrewAI: crewai.com | X/Twitter

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How is an open ecosystem powering the next generation of AI for developers and leaders?

Broadcasting live from the heart of the action at AMD's Advancing AI 2025, Chain of Thought host Conor Bronsdon welcomes AMD’s Anush Elangovan, VP of AI Software, and Sharon Zhou, VP of AI. They unpack AMD's groundbreaking transformation from a hardware giant to a leader in full-stack AI, committed to an open ecosystem. Discover how new MI350 GPUs deliver mind-blowing performance with advanced data types and why ROCm 7 and AMD Developer Cloud offer Day Zero support for frontier models.

Then Conor welcomes Sharon Zhou, VP of AI at AMD, to discuss making AMD's powerful software stack truly accessible and how to drive developer curiosity. Sharon explains strategies for creating a "happy path" for community contributions, fostering engagement through teaching, and listening to developers at every stage. She shares her predictions for the future, including the rise of self-improving AI, the critical role of heterogeneous compute, and the potential of "vibes based feedback" to guide models. This vision for democratizing access to high-performance AI, driven by a deep understanding of the developer journey, promises to unlock the next generation of applications.

Chapters:

00:00 Live from AMD's Advancing AI 2025 Event

00:30 Introduction to Anush Elangovan

01:38 The MI350 GPU Series Unveiled

04:57 CDNA4 Architecture Explained

07:00 The Future of AI Infrastructure

08:32 AMD's Developer Cloud and ROCm 7

11:50 Cultural Shift at AMD

14:48 Open Source and Community Contributions

18:35 Software Longevity and Ecosystem Strategy

22:19 AI Agents and Performance Gains

27:36 AI's Role in Solving Power Challenges

28:11 Thanking Anush

28:42 Introduction to Sharon Zhou

29:45 Sharon's Focus at AMD

30:39 Engaging Developers with AMD's AI Tools

31:24 Listening to the AI Community

33:56 Open Source and AI Development

45:04 Future of AI and Self-Improving Models

48:04 Final Thoughts and Farewell

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Follow Today's Guest(s)

Anush Elangovan: LinkedIn

Sharon Zhou: LinkedIn

AMD Official Site: amd.com

AMD Developer Resources: AMD Developer Central

Check out Galileo

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