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OpenAI Sora 2 Team: How Generative Video Will Unlock Creativity and World Models Nov 06, 2025

Show notes

The OpenAI Sora 2 team (Bill Peebles, Thomas Dimson, Rohan Sahai) discuss how they compressed filmmaking from months to days, enabling anyone to create compelling video. Bill, who invented the diffusion transformer that powers Sora and most video generation models, explains how space-time tokens enable object permanence and physics understanding in AI-generated video, and why Sora 2 represents a leap for video. Thomas and Rohan share how they're intentionally designing the Sora product against mindless scrolling, optimizing for creative inspiration, and building the infrastructure for IP holders to participate in a new creator economy. The conversation goes beyond video generation into the team’s vision for world simulators that could one day run scientific experiments, their perspective on co-evolving society alongside technology, and how digital simulations in alternate realities may become the future of knowledge work.

Hosted by: Konstantine Buhler and Sonya Huang, Sequoia Capital

Nvidia CTO Michael Kagan: Scaling Beyond Moore's Law to Million-GPU Clusters Oct 28, 2025

Show notes

Recorded live at Sequoia’s Europe100 event: Michael Kagan, co-founder of Mellanox and CTO of Nvidia, explains how the $7 billion Mellanox acquisition helped transform Nvidia from a chip company into the architect of AI infrastructure. Kagan breaks down the technical challenges of scaling from single GPUs to 100K and eventually million-GPU data centers. He reveals why network performance—not just compute power—determines AI system efficiency. He discusses the shift from training to inference workloads, and his vision for AI as humanity's "spaceship of the mind," and why he thinks AI may help us discover laws of physics we haven’t yet imagined.

Hosted by Sonya Huang and Pat Grady

Securing the AI Frontier: Irregular Co-founder Dan Lahav Oct 21, 2025

Show notes

Irregular co-founder Dan Lahav is redefining what cybersecurity means in the age of autonomous AI. Working closely with OpenAI, Anthropic, and Google DeepMind, Dan, co-founder Omer Nevo and team are pioneering “frontier AI security”—a proactive approach to safeguarding systems where AI models act as independent agents.

Dan shares how emergent behaviors, from models socially engineering each other to outmaneuvering real-world defenses like Windows Defender, signal a coming paradigm shift. Dan explains why tomorrow’s threats will come from AI-on-AI interactions, why anomaly detection will soon break down, and how governments and enterprises alike must rethink defenses from first principles as AI becomes a national security layer.

Hosted by: Sonya Huang and Dean Meyer, Sequoia Capital

00:00 Introduction 03:07 The Future of AI Security 03:55 Thought Experiment: Security in the Age of GPT-10 05:23 Economic Shifts and AI Interaction 07:13 Security in the Autonomous Age 08:50 AI Model Capabilities and Cybersecurity 11:08 Real-World AI Security Simulations 12:31 Working with AI Labs 32:34 Enterprise AI Security Strategies 40:03 Governmental AI Security Considerations 43:41 Final Thoughts

Why AI Will Transform Customer Experience: Cresta CEO Ping Wu and Sequoia’s Doug Leone Oct 14, 2025

Show notes

Ping Wu built Google's contact center business before becoming CEO of Cresta, where he's pioneering a unique approach to contact center transformation. Rather than full automation Ping advocates a dual approach, automating what's ready while using AI to assist humans with the rest. He makes the case for an abundance mindset—imagining new customer experiences like talking to airline apps or turning synchronous interactions asynchronous. Ping breaks down the technical challenges of deploying Contact Center AI at scale, from solving latency to orchestrating 20+ models in real-time. Sequoia’s Doug Leone shares his framework for building AI companies at speed and why he believes we're at the front end of an Industrial Revolution 2.0.

Hosted by: Sonya Huang and Doug Leone, Sequoia Capital

00:00 Introduction

01:13 The Evolution of Contact Centers

02:05 Debating AI's Impact on Call Centers

04:07 Challenges and Opportunities in Contact Centers

08:14 Technological Waves in Contact Centers

11:10 AI vs Human Agents: The Future

13:35 Customer Experience and AI

16:33 The Role of Data in AI Automation

19:05 Competing in the AI Space

22:34 Building a Company in the AI Era

24:05 Instilling Speed in AI Companies

24:53 Management Experience and Growth Challenges

26:01 Identifying Leadership Potential

26:37 Cresta's Leadership Transition

28:34 Future Goals for Cresta

29:56 AI Market Cycles and Investment

35:38 Cresta's Technical Stack

45:11 AI's Impact on Business Communication

Block CTO Dhanji Prasanna: Building the AI-First Enterprise with Goose, their Open Source Agent Sep 30, 2025

Show notes

As CTO of Block, Dhanji Prasanna has overseen a dramatic enterprise AI transformation, with engineers saving 8-10 hours a week through AI automation. Block’s open-source agent goose connects to existing enterprise tools through MCP, enabling everyone from engineers to sales teams to build custom applications without coding. Dhanji shares how Block reorganized from business unit silos to functional teams to accelerate AI adoption, why they chose to open-source their most valuable AI tool and why he believes swarms of smaller AI models will outperform monolithic LLMs.

Hosted by: Sonya Huang and Roelof Botha, Sequoia Capital

Mentioned in the episode:

goose: Block’s open-source, general-purpose AI agent used across the company to orchestrate workflows via tools and APIs.
Model Context Protocol (MCP): Open protocol (spearheaded by Anthropic) for connecting AI agents to tools; goose was an early adopter and helped shape.
bitchat: Decentralized chat app written by Jack Dorsey
Swarm intelligence: Research direction Dhanji highlights for AI’s future where many agents (geese) collaborate to build complex software beyond a single-agent copilot.
Travelling Salesman Problem: Classic optimization problem cited by Dhanji in the context of a non-technical user of goose solving a practical optimization task.
Amara’s Law: The idea, originated by futurist Roy Amara in 1978, that we overestimate tech impact short term and underestimate long term.

00:00 Introduction

01:48 AI: Friend or Foe?

03:13 Block's Journey with AI and Technology

04:47 Block's Diverse Product Range

07:04 Driving AI at Block

14:28 The Evolution of Goose

27:45 Integrating Goose with Existing Systems

28:23 Goose's Learning and Recipe Feature

29:41 Tool Use and LLM Providers

31:40 Impact of AI on Developer Productivity

34:37 Block's Commitment to Open Source

39:09 Future of AI and Swarm Intelligence

43:05 Remote Work at Block

45:15 Vibe Coding and AI in Development

48:43 Making Goose More Accessible

51:28 Generative AI in Customer-Facing Products

54:09 Design and Engineering at Block

55:38 Predictions for the Future of AI

Why Businesses Are Rejecting the AI They’ve Asked For: Agency CEO Elias Torres Sep 23, 2025

Show notes

Elias Torres has been building AI systems since 1999, from chatbots at IBM to co-founding Drift and now Agency. He believes businesses are caught in an expectation mismatch—demanding AI while rejecting it due to imperfection anxiety. Drawing from his experience scaling HubSpot, Elias explains why human-led customer experience doesn’t scale and how Agency is building AI-first solutions that work autonomously. His contrarian approach focuses on the back-end customer experience rather than front-end AI SDRs, aiming to “deprogram the entire business world” from inefficient human-dependent processes.

Hosted by: Sonya Huang and Pat Grady, Sequoia Capital

Mentioned in the episode:

Lookery: David Cancel’s first startup that Elias joined after IBM; shut down in 2009
Performable: Elias and David’s second startup, acquired by HubSpot in 2011
Drift: Elias and David Cancel’s third startup, merged with Salesloft in 2024
Klaviyo: B2C CRM company started by Andrew Bialecki after working with Elias at HubSpot
Secret: Short-lived anonymous messaging app that inspired one of Drift’s early iterations
Tatajuba: Kitesurfing destination in Jericoacoara, Brazil where Elias (briefly) considered retirement

00:00 Introduction 01:50 AI and Customer Expectations 03:36 Managing Emails with AI 07:21 Elias' Personal Journey 11:27 Early Career 14:28 Joining HubSpot and Scaling Challenges 16:31 Hiring Exceptional Talent 18:53 Founding Drift 20:27 Pivoting to Success with Drift 21:41 Drift's Chatbot Innovation 22:09 Challenges and Limitations of Drift 22:37 The Struggle with Customer Knowledge 23:09 Scaling Challenges and Lessons Learned 25:58 Rediscovering Purpose Post-Drift 28:55 The Birth of Agency 29:42 AI's Role in Customer Experience 35:13 Building a Sustainable Business Model 37:06 The Vision for Agency 38:22 Challenges and Opportunities with AI 41:22 Deprogramming and Embracing Change 43:23 Optimism for the AI Future 44:15 Closing Thoughts

Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI Sep 09, 2025

Show notes

Thomas Wolf, co-founder and Chief Science Officer of Hugging Face, explains how his company is applying the same community-driven approach that made transformers accessible to everyone to the emerging field of robotics. Thomas discusses LeRobot, Hugging Face's ambitious project to democratize robotics through open-source tools, datasets, and affordable hardware. He shares his vision for turning millions of software developers into roboticists, the challenges of data scarcity in robotics versus language models, and why he believes we're at the same inflection point for physical AI that we were for LLMs just a few years ago.

Hosted by: Sonya Huang and Pat Grady, Sequoia Capital

Deal Velocity, Not Billable Hours: How Crosby Uses AI to Redefine Legal Contracting Sep 02, 2025

Show notes

Ryan Daniels and John Sarihan are reimagining legal services by building Crosby, an AI-powered law firm that focuses on contract negotiations to start. Rather than building legal software, they've structured their company as an actual law firm with lawyers and AI engineers working side-by-side to automate human negotiations. They've eliminated billable hours in favor of per-document pricing, achieving contract turnaround times under an hour. Ryan and John explain why the law firm structure enables faster innovation cycles, how they're using AI to predict negotiation outcomes, and their vision for agents that can simulate entire contract negotiations between parties.

Hosted by Josephine Chen, Sequoia Capital

Mentioned in this episode:

Data processing agreement (DPA): GDPR-mandated contract between controllers and processors. Crosby handles DPAs as part of B2B contracting.
Credence good: Economic term for services whose quality is hard to judge even after consumption. Used to explain why legal buyers value lawyers-in-the-loop and malpractice coverage.

n8n CEO Jan Oberhauser on Building the Universal AI Automation Layer Aug 26, 2025

Show notes

When the AI wave hit, n8n founder Jan Oberhauser faced a critical choice: become irrelevant or become indispensable. He chose the latter, transforming n8n from a simple workflow tool into a comprehensive AI automation platform that lets users connect any LLM to any application. The result? Four times the revenue growth in eight months compared to the previous six years. Jan explains how n8n’s “connect everything to anything” philosophy, combined with a thriving open source community, positioned the company to ride the AI automation wave while avoiding vendor lock-in that plagues enterprise software.

Hosted by George Robson and Pat Grady, Sequoia Capital

Mentioned in this episode:

Model Context Protocol (MCP): Open protocol that lets AI models safely use external tools and data that is used extensively by n8n for orchestration.
Vector database: A database optimized for storing and searching embeddings. These “vector stores” can pair with LLMs for retrieval-augmented workflows.
Granola: AI productivity tool mentioned by Jan as a recent favorite.
Her: A film that Jan says, “a few years ago, it was sci fi, and it’s now suddenly this thing that is just around the corner.”

Scaling the ‘Cursor for Slides’ to $50M ARR: Gamma founder Jon Noronha Aug 19, 2025

Show notes

Before ChatGPT made AI mainstream, John Noronha was building Gamma with a simple insight: everyone hates making slides but needs visual communication for high-stakes ideas. His background at Optimizely proved crucial as Gamma became a testing laboratory for AI models, running hundreds of experiments to discover that Claude excels at creative taste, Gemini wins on cost efficiency, and reasoning models actually hurt creativity. John explains how solving their own blank page problem inadvertently solved it for millions of users, turning a near-failing startup into a cash flow positive platform with 250 million presentations created. He discusses competing with PowerPoint's 500 million users while expanding beyond slides into documents, websites and visual storytelling.

Hosted by Sonya Huang, Sequoia Capital

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