Sequoia Capitalのポッドキャスト番組

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6日前

Natera ft. Matthew Rabinowitz - A Personal Mission That Led to a Biotech Revolution

Founder Matthew Rabinowitz opens up about the intensely personal journey that set him on a course to revolutionizing healthcare. A PhD in electrical engineering, he had no background in genetics or biology, but after his sister had a baby with Down syndrome that hadn’t been detected and tragically died after 6 days, Matthew dedicated himself to solving this problem. After overcoming seemingly impossible obstacles, today Natera leverages molecular biology and novel bioinformatics technology to provide prenatal screening in nearly half of U.S. pregnancies, as well as transforming oncology and organ transplants. Hear about Matthew’s vision for the future of computational biology and its profound impact on human health. Host: Roelof Botha, Sequoia Capital Featuring: Matthew Rabinowitz, Jonathan Sheena, Steve Chapman, Chitra Kotwaliwale, Sarah Elliot

6日前

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53分
10月24日

DoorDash ft. Tony Xu – The “Wrong” Moves That Built a Giant

DoorDash faced skeptics from the start. Grubhub, Delivery.com, and others were already addressing the restaurant delivery market when CEO Tony Xu and his co-founders started in 2013. But after talking to hundreds of local small businesses, they realized there was still an unmet need: None of the competitors solved the problem of delivery with an on-demand workforce, the way Uber had done with drivers. After struggling to raise initial funding, DoorDash found traction. But the next few years would prove tumultuous, with cash scarcity and investor skepticism putting the company perilously close to the brink. The founders’ contrarian decisions, clarity on their commitment to serve small local businesses, and ability to out-operate competitors has turned DoorDash into one the decade’s startup success stories. In this episode, Tony brings us inside their decision-making, and what DoorDash saw that others missed. Host: Roelof Botha, Sequoia Capital Featuring: Tony Xu, Keith Yandell, Miki Kuusi, Alfred Lin

10月24日

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53分
11月14日

LIVE: DoorDash’s Tony Xu and Miki Kuusi Talk Scaling Operational Excellence

Tony Xu and Miki Kuusi share insights from building two of the world's most successful delivery platforms—DoorDash and Wolt—which merged in 2022 to create an $80B GOV business operating in 32 countries. In this candid conversation with Sequoia's Alfred Lin live at a Sequoia event in Europe, they discuss the challenges of scaling operational excellence, maintaining culture through hypergrowth and the future of commerce in cities. Host: Alfred Lin, Sequoia Capital Featuring: Tony Xu, Miki Kuusi

11月14日

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29分
8月29日

ServiceNow ft. Frank Slootman and Fred Luddy - From Starting Over at 50 to Dodging a $150B Mistake

In 2004, bankrupt after the company where he’d previously worked had imploded, Fred Luddy decided to start over as a first-time founder at age 50. His vision was to reinvent the nascent IT software field for the cloud era. What started as simple help desk replacement software would eventually become a ~$150B market cap company powering digital workflows across the enterprise—but success didn’t come easy. Initially bootstrapped and ultra-lean, the company’s infrastructure began buckling under its own success as customer demand spiked. When the legendary Frank Slootman joined as CEO to help scale the company, he describes being terrified to check his email every morning. Hear how Frank, Fred and the team stabilized the business, expanded their product offerings, and nearly made a $150B+ mistake by selling too early. Host: Roelof Botha, Sequoia Capital Featuring: Fred Luddy, Frank Slootman, Doug Leone, Pat Grady, Carl Eschenbach Transcript: https://www.sequoiacap.com/podcast/crucible-moments-servicenow/ 00:00 - Cold open 00:22 - Introduction 02:09 - Fred Luddy’s journey to coding 03:33 - Founding ServiceNow after financial ruin 07:11 - Finding product-market fit 15:16 - Finding a new CEO in Frank Slootman 22:19 - Overcoming scaling challenges 29:54 - Contemplating an acquisition offer 32:07 - Blocking the sale 38:17 - Lessons learned

8月29日

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42分
9月26日

Reddit ft. Steve Huffman - The Making (and Remaking) of the Front Page of the Internet

Reddit is one of the largest and most culturally influential sites on the internet—and its journey is one of the most unusual company stories in internet history. College roommates Steve Huffman and Alexis Ohanian founded Reddit in 2005 and scaled it on a shoestring until Condé Nast acquired it the following year. Struggling for direction under its parent company, the founders left, and Condé Nast ultimately spun it out as an independent company once again. With Reddit buckling under user discontent in 2015, founder Steve Huffman returned as CEO to save the company and navigate the way forward. Over the following nine years, Reddit stabilized and the company’s revenue grew more than 50-fold to a successful IPO 19 years in the making. Host: Roelof Botha, Sequoia Capital Featuring: Steve Huffman, Alexis Ohanian, Chris Slowe, Jen Wong, Alfred Lin

9月26日

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43分
9月12日

MongoDB ft Dev Ittycheria - How an Early Pivot Catalyzed an Open Source Movement

MongoDB, founded in 2007, originally aimed to create a platform-as-a-service system with a new database layer. Facing competition from Google, the founders pivoted to focus solely on their database product, MongoDB—a new kind of database built for the scale of the internet era. Founder Dwight Merriman built a product that developers loved, but scaling the company proved challenging until Dev Ittycheria took the reins as CEO in 2014. As cloud computing grew, MongoDB transitioned from on-premise software to Atlas, a fully-managed cloud service. Despite initial skepticism, Atlas now represents 70% of MongoDB's revenue. As Atlas scaled, MongoDB faced another controversial decision: whether to change its open source license model to maintain its commercial moat. These pivotal decisions transformed MongoDB from a niche database to nearly $2 billion in annual revenue. Host: Roelof Botha, Sequoia Capital Featuring: Dwight Merriman, Dev Ittycheria and Tom Killalea Transcript: https://www.sequoiacap.com/podcast/crucible-moments-mongodb/ 00:00 - Cold Open 00:19 - Introduction 05:30 - The NoSQL movement 09:52 - Scrapping the platform for the database 14:57 - Launching as MongoDB 19:52 - Moving to the cloud with Atlas 24:52 - Assigning a directly responsible individual 30:15 - How Atlas changed MongoDB 35:03 - Updating the licensing model to avoid “strip mining” 39:50 - Evolving back into a platform 41:26 - Executing on points of leverage

9月12日

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44分
10月10日

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

10月10日

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42分
10月2日

OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better

Combining LLMs with AlphaGo-style deep reinforcement learning has been a holy grail for many leading AI labs, and with o1 (aka Strawberry) we are seeing the most general merging of the two modes to date. o1 is admittedly better at math than essay writing, but it has already achieved SOTA on a number of math, coding and reasoning benchmarks. Deep RL legend and now OpenAI researcher Noam Brown and teammates Ilge Akkaya and Hunter Lightman discuss the ah-ha moments on the way to the release of o1, how it uses chains of thought and backtracking to think through problems, the discovery of strong test-time compute scaling laws and what to expect as the model gets better. Hosted by: Sonya Huang and Pat Grady, Sequoia Capital Mentioned in this episode: Learning to Reason with LLMs: Technical report accompanying the launch of OpenAI o1. Generator verifier gap: Concept Noam explains in terms of what kinds of problems benefit from more inference-time compute. Agent57: Outperforming the human Atari benchmark, 2020 paper where DeepMind demonstrated “the first deep reinforcement learning agent to obtain a score that is above the human baseline on all 57 Atari 2600 games.” Move 37: Pivotal move in AlphaGo’s second game against Lee Sedol where it made a move so surprising that Sedol thought it must be a mistake, and only later discovered he had lost the game to a superhuman move. IOI competition: OpenAI entered o1 into the International Olympiad in Informatics and received a Silver Medal. System 1, System 2: The thesis if Danial Khaneman’s pivotal book of behavioral economics, Thinking, Fast and Slow, that positied two distinct modes of thought, with System 1 being fast and instinctive and System 2 being slow and rational. AlphaZero: The predecessor to AlphaGo which learned a variety of games completely from scratch through self-play. Interestingly, self-play doesn’t seem to have a role in o1. Solving Rubik’s Cube with a robot hand: Early OpenAI robotics paper that Ilge Akkaya worked on. The Last Question: Science fiction story by Isaac Asimov with interesting parallels to scaling inference-time compute. Strawberry: Why? O1-mini: A smaller, more efficient version of 1 for applications that require reasoning without broad world knowledge. 00:00 - Introduction 01:33 - Conviction in o1 04:24 - How o1 works 05:04 - What is reasoning? 07:02 - Lessons from gameplay 09:14 - Generation vs verification 10:31 - What is surprising about o1 so far 11:37 - The trough of disillusionment 14:03 - Applying deep RL 14:45 - o1’s AlphaGo moment? 17:38 - A-ha moments 21:10 - Why is o1 good at STEM? 24:10 - Capabilities vs usefulness 25:29 - Defining AGI 26:13 - The importance of reasoning 28:39 - Chain of thought 30:41 - Implication of inference-time scaling laws 35:10 - Bottlenecks to scaling test-time compute 38:46 - Biggest misunderstanding about o1? 41:13 - o1-mini 42:15 - How should founders think about o1?

10月2日

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45分
10月22日

OpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI

In recent years there’s been an influx of theoretical physicists into the leading AI labs. Do they have unique capabilities suited to studying large models or is it just herd behavior? To find out, we talked to our former AI Fellow (and now OpenAI researcher) Dan Roberts. Roberts, co-author of The Principles of Deep Learning Theory, is at the forefront of research that applies the tools of theoretical physics to another type of large complex system, deep neural networks. Dan believes that DLLs, and eventually LLMs, are interpretable in the same way a large collection of atoms is—at the system level. He also thinks that emphasis on scaling laws will balance with new ideas and architectures over time as scaling asymptotes economically. Hosted by: Sonya Huang and Pat Grady, Sequoia Capital Mentioned in this episode: The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks, by Daniel A. Roberts, Sho Yaida, Boris Hanin Black Holes and the Intelligence Explosion: Extreme scenarios of AI focus on what is logically possible rather than what is physically possible. What does physics have to say about AI risk? Yang-Mills & The Mass Gap: An unsolved Millennium Prize problem AI Math Olympiad: Dan is on the prize committee

10月22日

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42分
10月15日

Google NotebookLM’s Raiza Martin and Jason Spielman on Creating Delightful AI Podcast Hosts and the Potential for Source-Grounded AI

NotebookLM from Google Labs has become the breakout viral AI product of the year. The feature that catapulted it to viral fame is Audio Overview, which generates eerily realistic two-host podcast audio from any input you upload—written doc, audio or video file, or even a PDF. But to describe NotebookLM as a “podcast generator” is to vastly undersell it. The real magic of the product is in offering multi-modal dimensions to explore your own content in new ways—with context that’s surprisingly additive. 200-page training manuals become synthesized into digestible chapters, turned into a 10-minute podcast—or both—and shared with the sales team, just to cite one example. Raiza Martin and Jason Speilman join us to discuss how the magic happens, and what’s next for source-grounded AI. Hosted by: Sonya Huang and Pat Grady, Sequoia Capital

10月15日

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32分

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トップ番組

Natera ft. Matthew Rabinowitz - A Personal Mission That Led to a Biotech Revolution

DoorDash ft. Tony Xu – The “Wrong” Moves That Built a Giant

LIVE: DoorDash’s Tony Xu and Miki Kuusi Talk Scaling Operational Excellence

ServiceNow ft. Frank Slootman and Fred Luddy - From Starting Over at 50 to Dodging a $150B Mistake

Reddit ft. Steve Huffman - The Making (and Remaking) of the Front Page of the Internet

MongoDB ft Dev Ittycheria - How an Early Pivot Catalyzed an Open Source Movement

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

OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better

OpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI

Google NotebookLM’s Raiza Martin and Jason Spielman on Creating Delightful AI Podcast Hosts and the Potential for Source-Grounded AI

番組について

トップ番組

トップエピソード

Natera ft. Matthew Rabinowitz - A Personal Mission That Led to a Biotech Revolution

DoorDash ft. Tony Xu – The “Wrong” Moves That Built a Giant

LIVE: DoorDash’s Tony Xu and Miki Kuusi Talk Scaling Operational Excellence

ServiceNow ft. Frank Slootman and Fred Luddy - From Starting Over at 50 to Dodging a $150B Mistake

Reddit ft. Steve Huffman - The Making (and Remaking) of the Front Page of the Internet

MongoDB ft Dev Ittycheria - How an Early Pivot Catalyzed an Open Source Movement

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

OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better

OpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI

Google NotebookLM’s Raiza Martin and Jason Spielman on Creating Delightful AI Podcast Hosts and the Potential for Source-Grounded AI

番組について