Sequoia Capital

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Kanal • 3 program

Teknologi

Teknologi

Varje vecka
Näringsliv

Näringsliv

Varannan vecka
Entreprenörskap

Entreprenörskap

Varannan vecka

−6 D

What’s the Future of Vertical SaaS in an AGI World? Jamie Cuffe, CEO of Pace

Jamie Cuffe is solving one of AI's hardest problems: getting conservative, regulated industries to trust autonomous agents with mission-critical work. At Pace, he's building AI that replaces traditional BPOs in insurance, handling everything from email triage to claims processing with 50-75% cost savings. Drawing on his experience at Retool, Jamie emphasizes the importance of "closing the distance" with customers through forward-deployed engineering and being "the rock" that clients can rely on. He shares how focusing on top-tier insurance carriers and maintaining exceptionally high standards is enabling Pace to capture a meaningful share of the $400 billion BPO market while building a durable business model - at AI-native velocity. Hosted by Lauren Reeder and Pat Grady, Sequoia Capital

−6 d

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52 min
27 JAN.

Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd

Zach Lloyd built Warp to modernize the terminal for professional developers, but the rise of coding agents transformed his company's trajectory. He discusses the convergence of IDEs and terminals into new workbenches built for prompting and agent orchestration, and why he thinks "coding will be solved" within a few years, making human expression of intent the ultimate bottleneck. Zach explains how Warp competes against subsidized tools from Anthropic and OpenAI, and why the terminal's time-based, text-oriented format makes it perfect for managing swarms of cloud agents. Hosted by Sonya Huang, Sequoia Capital

27 jan.

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48 min
2025-10-21

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

2025-10-21

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44 min
21 JAN.

Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase

Harrison Chase, cofounder of LangChain and pioneer of AI agent frameworks, discusses the emergence of long-horizon agents that can work autonomously for extended periods. Harrison breaks down the evolution from early scaffolding approaches to today's harness-based architectures, explaining why context engineering - not just better models - has become fundamental to agent development. He shares insights on why coding agents are leading the way, the role of file systems in agent workflows, and how building agents differs from traditional software development - from the importance of traces as the new source of truth to memory systems that enable agents to improve themselves over time. Hosted by Sonya Huang and Pat Grady

21 jan.

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40 min
14 JAN.

How Ricursive Intelligence’s Founders are Using AI to Shape The Future of Chip Design

Anna Goldie and Azalia Mirhoseini created AlphaChip at Google, using AI to design four generations of TPUs and reducing chip floor planning from months to hours. They explain how chip design has become the critical bottleneck for AI progress -- a process that typically takes years and costs hundreds of millions of dollars. Now at Ricursive Intelligence, they're enabling an evolution of the industry from “fabless” to "designless," where any company can create custom silicon with Ricursive Intelligence. Their vision: recursive self-improvement where AI designs more powerful chips, and faster, accelerating AI itself. Hosted by Stephanie Zhan and Sonya Huang

14 jan.

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37 min
2025-07-08

Mapping the Mind of a Neural Net: Goodfire’s Eric Ho on the Future of Interpretability

Eric Ho is building Goodfire to solve one of AI’s most critical challenges: understanding what’s actually happening inside neural networks. His team is developing techniques to understand, audit and edit neural networks at the feature level. Eric discusses breakthrough results in resolving superposition through sparse autoencoders, successful model editing demonstrations and real-world applications in genomics with Arc Institute's DNA foundation models. He argues that interpretability will be critical as AI systems become more powerful and take on mission-critical roles in society. Hosted by Sonya Huang and Roelof Botha, Sequoia Capital Mentioned in this episode: Mech interp: Mechanistic interpretability, list of important papers here Phineas Gage: 19th century railway engineer who lost most of his brain’s left frontal lobe in an accident. Became a famous case study in neuroscience. Human Genome Project: Effort from 1990-2003 to generate the first sequence of the human genome which accelerated the study of human biology Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs Zoom In: An Introduction to Circuits: First important mechanistic interpretability paper from OpenAI in 2020 Superposition: Concept from physics applied to interpretability that allows neural networks to simulate larger networks (e.g. more concepts than neurons) Apollo Research: AI safety company that designs AI model evaluations and conducts interpretability research Towards Monosemanticity: Decomposing Language Models With Dictionary Learning. 2023 Anthropic paper that uses a sparse autoencoder to extract interpretable features; followed by Scaling Monosemanticity Under the Hood of a Reasoning Model: 2025 Goodfire paper that interprets DeepSeek’s reasoning model R1 Auto-interpretability: The ability to use LLMs to automatically write explanations for the behavior of neurons in LLMs Interpreting Evo 2: Arc Institute's Next-Generation Genomic Foundation Model. (see episode with Arc co-founder Patrick Hsu) Paint with Ember: Canvas interface from Goodfire that lets you steer an LLM’s visual output in real time (paper here) Model diffing: Interpreting how a model differs from checkpoint to checkpoint during finetuning Feature steering: The ability to change the style of LLM output by up or down weighting features (e.g. talking like a pirate vs factual information about the Andromeda Galaxy) Weight based interpretability: Method for directly decomposing neural network parameters into mechanistic components, instead of using features The Urgency of Interpretability: Essay by Anthropic founder Dario Amodei On the Biology of a Large Language Model: Goodfire collaboration with Anthropic

2025-07-08

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47 min
2025-12-04

Palo Alto Networks ft Nir Zuk & Nikesh Arora - The Grudge That Transformed Cybersecurity

In the early 2000s, the cybersecurity industry was dominated by incumbents focused on high margins, not innovation. Nir Zuk tells the story of how, frustrated by this stagnant culture, he set out on his own with a radical idea: the Next-Generation Firewall. His vision was to unify dozens of security functions into a single, intelligent platform delivered via cloud—an approach everyone thought was crazy. Palo Alto Networks started as a disruptive startup with Nir sporting a "Check Point Killer" vanity license plate, and grew to dominate cybersecurity. We explore the crucible moments that defined its path: the controversial decision to insist on being a new kind of "firewall" vs. a “firewall helper,” the challenge of scaling a hyper-growth company, and the critical pivot from building everything in-house to current CEO Nikesh Arora’s aggressive acquisition strategy that remade the company for the cloud era. Nir, Nikesh, and the core leadership team offer a masterclass in product conviction, strategic transformation, and the courage to disrupt yourself before the market does it for you. Featuring: Nir Zuk, Nikesh Arora, Lee Klarich, Rajiv Batra, Mark McLaughlin, Jim Goetz, Asheem Chandra Hosted by: Roelof Botha, Sequoia Capital

2025-12-04

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47 min
15 JAN.

Harvey CEO Winston Weinberg: Why You Should Reinvent Yourself Every 4 Months

This might be my favorite episode yet. Harvey’s Winston Weinberg is the canonical 2026 hypergrowth CEO. He takes us inside what it's really like to scale from zero to $190M run rate in just a few years. What stands out? His obsessive intensity and willingness to do uncomfortable things on a weekly basis. Winston shares how he cold-messaged thousands of lawyers to land his first customers, why he deliberately chose the hardest enterprise law firms as his first target customers, and how he thinks about hiring and org structure when everything breaks every four months. We also explore his unconventional background - he wasn't a developer, was new to the legal industry, and figured out sales from scratch. It's raw, honest, and incredibly practical for any founder navigating (or hoping to navigate) the chaos of hypergrowth.

15 jan.

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57 min
2025-11-20

Bolt ft. Markus Villig - From Bootstrapping in Estonia to a Global Leader in Mobility

At 19, Markus Villig borrowed €5,000 from his parents to fix Estonia's broken taxi system. What happened next defied every conventional startup playbook. Markus started by making fleet dispatch software for local taxi companies. But when it became clear they weren’t embracing the on-demand revolution, he pivoted the business to ride-hailing for drivers, competing directly against what had been his core customer. The product took off in Estonia. But when Bolt's first expansion into Western Europe nearly bankrupted the company, Markus and team made another counterintuitive pivot: they built a data model that pointed to African cities no one else was targeting. They launched in Johannesburg remotely with a university student and a credit card. While investors warned against emerging markets, Bolt's data proved them wrong. This episode chronicles Bolt's inflection points to become the number-one ridehailing and delivery app across much of Europe, Africa and the Middle East by treating expansion as "a portfolio of bets" and staying ruthlessly pragmatic about what works. Featuring: Markus Villig, Jevgeni Kabanov, Pavel Karagjaur, Andrew Reed Hosted by: Roelof Botha, Sequoia Capital

2025-11-20

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43 min
2025-11-06

Supercell ft Ilkka Paananen - How an Early Pivot Led to ‘Clash of Clans’ and ‘Brawl Stars’

Founder and CEO Ilkka Paananen set out to create a different kind of game company—one where the game development teams would have decision-making power, not upper management. Ilkka recalls the early decision to scrap their first game and the entire cross-platform strategy that had landed them a Series A financing in order to make a counterintuitive pivot and focus exclusively on mobile. The decision launched one of gaming's most remarkable success stories: By obsessing over quality and treating failures as learning opportunities, Supercell created enduring hits like “Clash of Clans,” “Hay Day,” and “Brawl Stars,” and defined a new standard for mobile gaming. But success brought new challenges. By 2023, Supercell had slipped from the top 10 mobile publishers for the first time in a decade. Ilkka reveals how the company reinvented itself yet again to set a record-breaking year in 2024, and discusses Supercell’s future in the AI era. Featuring: Ilkka Paananen, Maya Hoffree, Joost van Dreunen Hosted by: Roelof Botha, Sequoia Capital

2025-11-06

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43 min

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