Securing the AI Frontier: Irregular Co-founder Dan Lahav
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
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Why AI Will Transform Customer Experience: Cresta CEO Ping Wu and Sequoia’s Doug Leone
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
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Block CTO Dhanji Prasanna: Building the AI-First Enterprise with Goose, their Open Source Agent
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
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Why Businesses Are Rejecting the AI They’ve Asked For: Agency CEO Elias Torres
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
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Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI
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
Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society.
The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.
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