Sequoia Capital

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١٠ فبراير

Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann

Will Brown and Johannes Hagemann of Prime Intellect discuss the shift from static prompting to "environment-based" AI development, and their Environments Hub, a platform designed to democratize frontier-level training. The conversation highlights a major shift: AI progress is moving toward Recursive Language Models that manage their own context and agentic RL that scales through trial and error. Will and Johannes describe their vision for the future in which every company will become an AI research lab. By leveraging institutional knowledge as training data, businesses can build models with decades of experience that far outperform generic, off-the-shelf systems.Hosted by Sonya Huang, Sequoia Capital

١٠ فبراير

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٤٥ من الدقائق
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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

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٤٧ من الدقائق
٣ فبراير

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

٣ فبراير

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٥٢ من الدقائق
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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

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٤٣ من الدقائق
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Why the Next AI Revolution Will Happen Off-Screen: Samsara CEO Sanjit Biswas

Sanjit Biswas is one of the rare founders who has scaled AI in the physical world – first with Meraki, and now with Samsara, a $20B+ public company with sensors deployed across millions of vehicles and job sites. Capturing 90 billion miles of driving data each year, Samsara operates at a scale matched only by a small handful of companies. Sanjit discusses why physical AI is fundamentally different from cloud-based AI, from running inference on two- to ten-watt edge devices to managing the messy diversity of real-world data—weather, road conditions, and the long tail of human behavior. He also shares how advances in foundation models unlock new capabilities like video reasoning, why distributed compute at the edge still beats centralized data centers for many autonomy workloads, and how AI is beginning to coach frontline workers—not just detect risk, but recognize good driving and improve fuel efficiency. Sanjit also explains why connectivity, sensors, and compute were the original “why now” for Samsara, and how those compounding curves will reshape logistics, field service, construction, and every asset-heavy industry. Hosted by Sonya Huang and Pat Grady, Sequoia Capital

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٣٨ من الدقائق
٢١ يناير

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

٢١ يناير

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٤٠ من الدقائق
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How End-to-End Learning Created Autonomous Driving 2.0: Wayve CEO Alex Kendall

Alex Kendall founded Wayve in 2017 with a contrarian vision: replace the hand-engineered autonomous vehicle stack with end-to-end deep learning. While AV 1.0 companies relied on HD maps, LiDAR retrofits, and city-by-city deployments, Wayve built a generalization-first approach that can adapt to new vehicles and cities in weeks. Alex explains how world models enable reasoning in complex scenarios, why partnering with automotive OEMs creates a path to scale beyond robo-taxis, and how language integration opens up new product possibilities. From driving in 500 cities to deploying with manufacturers like Nissan, Wayve demonstrates how the same AI breakthroughs powering LLMs are transforming the physical economy. Hosted by: Pat Grady and Sonya Huang

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٤٢ من الدقائق
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Goldman Sachs CEO David Solomon: What Startup Founders Get Wrong About the CEO Job

David Solomon, CEO of Goldman Sachs, says that no easy decisions reach the CEO’s desk - only “51/49” decisions. When I was leading HubSpot, I described the job as “choosing between two shitty options.” David discusses some of the tough calls he’s had to make in the CEO seat, including the difficult decision to wind down Goldman's consumer banking ambitions. His perspective coming from a 156-year old banking giant is a little different than the common Silicon Valley wisdom. Hear why he thinks experience is vastly underrated in Silicon Valley, why "smart enough" matters more than being the smartest person in the room, and why serendipity and timing play bigger roles in being a great CEO than people realize. David reflects on mentorship from Lloyd Blankfein and Hank Paulson and how he thinks apprenticeship culture will evolve with AI. There are some great, unexpected lessons here for founders who are scaling, confronting the messy reality of building enduring companies.

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٥٧ من الدقائق
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UiPath ft. Daniel Dines - From Bootstrapping in Bucharest to One of Software’s Biggest IPOs

The biggest enterprise software company to come out of Europe in the last decade didn’t come from London, Paris, Berlin or Stockholm—but Bucharest, Romania. UiPath, founded in 2005 and originally called DeskOver, was a scrappy handful of engineers bootstrapping out of an apartment in Bucharest for about a decade, seeking in vain for product-market fit. When they stumbled upon an opportunity in the nascent enterprise software category of Robotic Process Automation, the company did a hard pivot, changed their name to UiPath, and rocketed from obscurity to the fastest-growing SaaS company ever at the time. After a successful IPO, today they are the global category leader in RPA. The unlikely rise of UiPath is an inspiration and a reminder that you can build something great from anywhere. Host: Roelof Botha, Sequoia Capital Featuring: Daniel Dines, Andra Ciorici-Chelmus, Brandon Deer, Luciana Lixandru

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٤٢ من الدقائق
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The Rise of Generative Media: fal's Bet on Video, Infrastructure, and Speed

fal is building the infrastructure layer for the generative media boom. In this episode, founders Gorkem Yurtseven, Burkay Gur, and Head of Engineering Batuhan Taskaya explain why video models present a completely different optimization problem than LLMs, one that is compute-bound, architecturally volatile, and changing every 30 days. They discuss how fal's tracing compiler, custom kernels, and globally distributed GPU fleet enable them to run more than 600 image and video models simultaneously, often faster than the labs that trained them. The team also shares what they’re seeing from the demand side: AI-native studios, personalized education, programmatic advertising, and early engagement from Hollywood. They argue that generative video is following a trajectory similar to early CGI—initial skepticism giving way to a new medium with its own workflows, aesthetics, and economic models.Hosted by Sonya Huang, Sequoia Capital

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