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Why securing AI is harder than anyone expected and the approaching AI security crisis with Sander Schulhoff Sander is a leading researcher in the field of adversarial robustness, which is the art and science of getting AI systems to do things they shouldn't do, through jail-breaking and prompt injection....

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Lenny Rachitsky

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61,466 görüntüleme • 8 ay önce •via X (Twitter)

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Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon Aish and Kiriti Badam have built 50+ enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. Our goal with this conversation is to save you and your team a lot of pain and suffering while building your AI products. We discuss: 🔸 Two key ways AI products differ from traditional software 🔸 Common patterns and anti-patterns when building successful AI products 🔸 Their framework for iteratively building AI products 🔸 Why evals aren’t a cure-all 🔸 Why obsessing about customer trust and reliability is an underrated driver of successful AI products 🔸 The skills that matter most for builders in the AI era Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Strella — The AI-powered customer research platform: 🏆 Brex — The banking solution for startups:
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What world-class GTM looks like in 2026 with Jeanne DeWitt Grosser (Jeanne Grosser) Jeanne built Stripe's legendary sales team from the ground up, and is currently COO at Vercel, where she oversees marketing, sales, customer Success, and rev ops. In our conversation, we discuss: 🔸 Why GTM is becoming a huge differentiator in the AI era 🔸 How AI is changing sales 🔸 The rise of the "GTM engineer" role 🔸 How Vercel made their SDRs 10x more efficient 🔸 A primer on segmentation 🔸 How to build a sales org that product teams love 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 Lovable — Build apps by simply chatting with AI: 🏆 Stripe — Helping companies of all sizes grow revenue:
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What world-class GTM looks like in 2026 with Jeanne DeWitt Grosser (Jeanne Grosser) Jeanne built Stripe's legendary sales team from the ground up, and is currently COO at Vercel, where she oversees marketing, sales, customer Success, and rev ops. In our conversation, we discuss: 🔸 Why GTM is becoming a huge differentiator in the AI era 🔸 How AI is changing sales 🔸 The rise of the "GTM engineer" role 🔸 How Vercel made their SDRs 10x more efficient 🔸 A primer on segmentation 🔸 How to build a sales org that product teams love 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 Lovable — Build apps by simply chatting with AI: 🏆 Stripe — Helping companies of all sizes grow revenue:

Lenny Rachitsky

79,415 görüntüleme • 8 ay önce

.Jason ✨👾SaaStr.Ai✨ Lemkin used to have 10 salespeople. Now he has 10 empty desks—each one labeled with an AI agent's name. His sales team went from 10 humans → 1.2 humans + 20 AI agents. Same revenue. In his return to the podcast, we discuss: 🔸 Why mid-tier SDRs/BDRs will be "extinct" within a year 🔸 Where to start integrating AI into your sales motion 🔸 The specific AI tools that have worked best (and which flopped) 🔸 His 2026 predictions for GTM and sales 🔸 How to become "hyper-employable" in the age of AI Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Vercel — Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform:
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.Jason ✨👾SaaStr.Ai✨ Lemkin used to have 10 salespeople. Now he has 10 empty desks—each one labeled with an AI agent's name. His sales team went from 10 humans → 1.2 humans + 20 AI agents. Same revenue. In his return to the podcast, we discuss: 🔸 Why mid-tier SDRs/BDRs will be "extinct" within a year 🔸 Where to start integrating AI into your sales motion 🔸 The specific AI tools that have worked best (and which flopped) 🔸 His 2026 predictions for GTM and sales 🔸 How to become "hyper-employable" in the age of AI Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Vercel — Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform:

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341,897 görüntüleme • 7 ay önce

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”
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Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

X Freeze

29,537 görüntüleme • 10 gün önce

From managing people to managing AI with Julie Zhuo (Julie Zhuo) In a very special episode, my first-ever podcast guest returns (3 years and over 30M downloads later!) to explain why everyone's about to become a manager—of AI. Spoiler: The skills that make you a great manager also make you great at AI. In our conversation, we discuss: 🔸 The three core manager skills that translate directly to working with AI tools 🔸 Why her startup has zero PMs 🔸 How her team at Sundial uses AI to learn new skills 10x faster 🔸 The “diagnose with data, treat with design” framework for balancing instinct and data 🔸 How to give feedback that actually lands—including Julie’s exact script for difficult conversations Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury—The art of simplified finances: 🏆 DX—The developer intelligence platform designed by leading researchers: 🏆 PostHog—How developers build successful products:
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From managing people to managing AI with Julie Zhuo (Julie Zhuo) In a very special episode, my first-ever podcast guest returns (3 years and over 30M downloads later!) to explain why everyone's about to become a manager—of AI. Spoiler: The skills that make you a great manager also make you great at AI. In our conversation, we discuss: 🔸 The three core manager skills that translate directly to working with AI tools 🔸 Why her startup has zero PMs 🔸 How her team at Sundial uses AI to learn new skills 10x faster 🔸 The “diagnose with data, treat with design” framework for balancing instinct and data 🔸 How to give feedback that actually lands—including Julie’s exact script for difficult conversations Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury—The art of simplified finances: 🏆 DX—The developer intelligence platform designed by leading researchers: 🏆 PostHog—How developers build successful products:

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Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:

Lenny Rachitsky

314,081 görüntüleme • 1 yıl önce

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:
1:40

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:

Lenny Rachitsky

250,455 görüntüleme • 9 ay önce

“Extraordinary results demand extraordinary effort” A powerful conversation with Matt MacInnis (Matt MacInnis), long-time COO and newly minted CPO at Rippling We discuss: 🔸 Matt’s transition from COO to CPO and what surprised him about leading product 🔸 The “high alpha, low beta” framework for evaluating people, processes, and products 🔸 Why you should deliberately understaff projects 🔸 Why you should treat escalations as gifts 🔸 Why processes exist to reduce volatility—and why it will also suppress creativity 🔸 When founders should quit their startups (hint: much earlier than VCs want you to) 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Google Gemini — Your everyday AI assistant: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 GoFundMe Giving Funds — Make year-end giving easy:
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“Extraordinary results demand extraordinary effort” A powerful conversation with Matt MacInnis (Matt MacInnis), long-time COO and newly minted CPO at Rippling We discuss: 🔸 Matt’s transition from COO to CPO and what surprised him about leading product 🔸 The “high alpha, low beta” framework for evaluating people, processes, and products 🔸 Why you should deliberately understaff projects 🔸 Why you should treat escalations as gifts 🔸 Why processes exist to reduce volatility—and why it will also suppress creativity 🔸 When founders should quit their startups (hint: much earlier than VCs want you to) 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Google Gemini — Your everyday AI assistant: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 GoFundMe Giving Funds — Make year-end giving easy:

Lenny Rachitsky

461,415 görüntüleme • 7 ay önce

I asked here on Twitter who's the best IC product manager you've ever worked with, and shot to the top of the list. Aman Khan is a long-time AI product manager. He's currently Director of Product at Arize AI, and was previously at Spotify, Victoria Clayton ❤️ Memecoin, Zipline, and Apple. In our conversation, we discuss: 🔸 What exactly is an “AI product manager”? 🔸 How to break into AI PM 🔸 What separates top 5% AI PMs 🔸 How to thrive as an individual-contributor PM 🔸 Common pitfalls to avoid when building AI products 🔸 The importance of energy and curiosity in product roles 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:
1:03

I asked here on Twitter who's the best IC product manager you've ever worked with, and shot to the top of the list. Aman Khan is a long-time AI product manager. He's currently Director of Product at Arize AI, and was previously at Spotify, Victoria Clayton ❤️ Memecoin, Zipline, and Apple. In our conversation, we discuss: 🔸 What exactly is an “AI product manager”? 🔸 How to break into AI PM 🔸 What separates top 5% AI PMs 🔸 How to thrive as an individual-contributor PM 🔸 Common pitfalls to avoid when building AI products 🔸 The importance of energy and curiosity in product roles 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:

Lenny Rachitsky

46,963 görüntüleme • 1 yıl önce

Tom Lee says semis and AI infrastructure stocks are going to rip higher later this year. “Semis and infrastructure companies are at the center of one of the most important strategic initiatives for the US, which is AI and AI infrastructure, and that runway has years ahead. The last couple of weeks have been a rough ride. I think those names are going to bounce later this year. I don’t think the trade is over. It’s just taking a beating.” We don’t know who will ultimately build the best AI model. But we do know which companies are building the infrastructure that will make the AI revolution possible. That’s why I’m buying $CRWV, $ORCL, and $IREN.
0:42

Tom Lee says semis and AI infrastructure stocks are going to rip higher later this year. “Semis and infrastructure companies are at the center of one of the most important strategic initiatives for the US, which is AI and AI infrastructure, and that runway has years ahead. The last couple of weeks have been a rough ride. I think those names are going to bounce later this year. I don’t think the trade is over. It’s just taking a beating.” We don’t know who will ultimately build the best AI model. But we do know which companies are building the infrastructure that will make the AI revolution possible. That’s why I’m buying $CRWV, $ORCL, and $IREN.

Daniel

110,219 görüntüleme • 1 ay önce

Everyone's talking, reading, or writing about how much is changing in how we build products in the future, but very few people have actually experienced what the most cutting edge tools are capable of. In a new series on my podcast, I'm going to sit down with the founders of the most advanced product development tools to live demo what these tools can do, and then talk about the implications of this on product people's careers and lives. To kick things off, I sat down with Amjad Masad (Amjad Masad), co-founder and CEO of Replit ⠕, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. In our conversation, Amjad shares: 🔸 A live demo of Replit building a full-stack web app from a text prompt 🔸 The implications of AI-powered development for product managers, designers, and engineers 🔸 What skills will matter more, and less, in the future 🔸 How this might reshape companies and careers 🔸 Why being “generative” will become an increasingly valuable skill 🔸 “Amjad’s law” and how learning to debug AI-generated code is becoming ever more valuable 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 — A global leader in digital identity verification: 🏆 @LinkedInMktg — Reach professionals and drive results for your business:
1:06

Everyone's talking, reading, or writing about how much is changing in how we build products in the future, but very few people have actually experienced what the most cutting edge tools are capable of. In a new series on my podcast, I'm going to sit down with the founders of the most advanced product development tools to live demo what these tools can do, and then talk about the implications of this on product people's careers and lives. To kick things off, I sat down with Amjad Masad (Amjad Masad), co-founder and CEO of Replit ⠕, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. In our conversation, Amjad shares: 🔸 A live demo of Replit building a full-stack web app from a text prompt 🔸 The implications of AI-powered development for product managers, designers, and engineers 🔸 What skills will matter more, and less, in the future 🔸 How this might reshape companies and careers 🔸 Why being “generative” will become an increasingly valuable skill 🔸 “Amjad’s law” and how learning to debug AI-generated code is becoming ever more valuable 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 — A global leader in digital identity verification: 🏆 @LinkedInMktg — Reach professionals and drive results for your business:

Lenny Rachitsky

81,955 görüntüleme • 1 yıl önce

The fastest company in history to $1B did it with no VC money and fewer than 100 people. Surge AI has become the secret weapon behind Anthropic and Google's best models. Founder Edwin Chen (echen) built it without playing the Silicon Valley game—no viral posts, no fundraising treadmill. In my powerful conversation with Edwin Chen, we discuss: 🔸 How Claude got so good at coding and writing 🔸 Why the AI industry is optimizing for "dopamine instead of truth"—and delaying AGI 🔸 The problems with AI benchmarks and leaderboards 🔸 Why RL environments are the next frontier in AI training 🔸 Why taste and human judgment determine which AI models win 🔸 Why Edwin believes we’re still a decade away from AGI Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Coda (Superhuman Docs) — The all-in-one collaborative workspace:
1:38

The fastest company in history to $1B did it with no VC money and fewer than 100 people. Surge AI has become the secret weapon behind Anthropic and Google's best models. Founder Edwin Chen (echen) built it without playing the Silicon Valley game—no viral posts, no fundraising treadmill. In my powerful conversation with Edwin Chen, we discuss: 🔸 How Claude got so good at coding and writing 🔸 Why the AI industry is optimizing for "dopamine instead of truth"—and delaying AGI 🔸 The problems with AI benchmarks and leaderboards 🔸 Why RL environments are the next frontier in AI training 🔸 Why taste and human judgment determine which AI models win 🔸 Why Edwin believes we’re still a decade away from AGI Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Coda (Superhuman Docs) — The all-in-one collaborative workspace:

Lenny Rachitsky

481,159 görüntüleme • 8 ay önce

.Applied Intuition wants to make robotics as easy as building an iPhone app: "Dana is our new agentic platform for physical AI. This really is the culmination of pretty much everything we've worked on now over the last decade." "Building physical AI is extremely complicated... We know how to make the chips. We know how to make the hardware for these systems. It's more so actually developing all of this technology and getting it to work that is very, very difficult." "With modern AI and with this new Dana platform, we're really drastically reducing the barrier to entry to building physical AI and deploying it in the real world." "If you're building an app for an iPhone, high school kids can do that now because there's all of these things that exist and that make it easy... It's very hard to do that in terms of robotics." "The thing that Peter's really emphasizing and thing that we really wanna do is just lower the bar. So anybody really out there, starting with engineers, but ultimately really anybody can develop robots." Applied Intuition Co-founders Peter Ludwig and Qasar Younis on Business Breakdowns
2:24

.Applied Intuition wants to make robotics as easy as building an iPhone app: "Dana is our new agentic platform for physical AI. This really is the culmination of pretty much everything we've worked on now over the last decade." "Building physical AI is extremely complicated... We know how to make the chips. We know how to make the hardware for these systems. It's more so actually developing all of this technology and getting it to work that is very, very difficult." "With modern AI and with this new Dana platform, we're really drastically reducing the barrier to entry to building physical AI and deploying it in the real world." "If you're building an app for an iPhone, high school kids can do that now because there's all of these things that exist and that make it easy... It's very hard to do that in terms of robotics." "The thing that Peter's really emphasizing and thing that we really wanna do is just lower the bar. So anybody really out there, starting with engineers, but ultimately really anybody can develop robots." Applied Intuition Co-founders Peter Ludwig and Qasar Younis on Business Breakdowns

a16z

33,977 görüntüleme • 24 gün önce

Elon Musk on Grok: “I think an AI that is sort of SpaceX’s baby will be a very good AI. I think SpaceX is a collection of some of the very best humans on Earth, both in capability and morality and goodness, and I think we want to have an AI that is born of that capability and that morality and that goodness. I think that’s very, very important. So I’d like to encourage people to help out, actually, with the AI hardware on the ground and the AI software and, of course, with the AI satellites. Solar is going to be a very important part of that. The TerraFab will be a very important part of that, but we must also succeed on the software front, and we’re going to be training Grok on the sum total of all SpaceX information. So in a way, it will be trained on you. You will effectively be the parents of the AI. It will inherit your thoughts and ideas and beliefs, and I think that’s a good thing. So, yeah, we’ve got to win here on the AI hardware and the AI software. That maybe is the most important message. I think that is actually the most important message I wanted to convey today is that we must win on AI because the future is overwhelmingly AI and robots. So we won’t ultimately be able to control the AI. It’ll be too smart for that. But just like if you have a child that is a super genius child, you can still instill in that child the values and beliefs that you think are good and right. And so that’s why it’s incredibly important that we succeed with Grok. So, yeah, well, Grok 4.5 you’ve tried probably. We’ve got 4.6 coming out in about a week. And then 4.7 should be really pretty special. So I’d like to encourage everyone at SpaceX to use AI and to make it better.”
2:56

Elon Musk on Grok: “I think an AI that is sort of SpaceX’s baby will be a very good AI. I think SpaceX is a collection of some of the very best humans on Earth, both in capability and morality and goodness, and I think we want to have an AI that is born of that capability and that morality and that goodness. I think that’s very, very important. So I’d like to encourage people to help out, actually, with the AI hardware on the ground and the AI software and, of course, with the AI satellites. Solar is going to be a very important part of that. The TerraFab will be a very important part of that, but we must also succeed on the software front, and we’re going to be training Grok on the sum total of all SpaceX information. So in a way, it will be trained on you. You will effectively be the parents of the AI. It will inherit your thoughts and ideas and beliefs, and I think that’s a good thing. So, yeah, we’ve got to win here on the AI hardware and the AI software. That maybe is the most important message. I think that is actually the most important message I wanted to convey today is that we must win on AI because the future is overwhelmingly AI and robots. So we won’t ultimately be able to control the AI. It’ll be too smart for that. But just like if you have a child that is a super genius child, you can still instill in that child the values and beliefs that you think are good and right. And so that’s why it’s incredibly important that we succeed with Grok. So, yeah, well, Grok 4.5 you’ve tried probably. We’ve got 4.6 coming out in about a week. And then 4.7 should be really pretty special. So I’d like to encourage everyone at SpaceX to use AI and to make it better.”

DogeDesigner

64,019 görüntüleme • 10 gün önce

The rise of the IC CEO with Howie Liu After a viral tweet claimed Airtable was dead based on incorrect data, Howie led a radical transformation: reorganizing the entire company into "fast" and "slow" thinking teams, becoming an “IC CEO” who codes daily, and encouraging employees to cancel all their meetings to play with AI. In our conversation, we discuss: 🔸 The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman) 🔸 Why CEOs must become ICs again in the AI era 🔸 Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment 🔸 Why evals can kill innovation (and when to use “vibes” instead) Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 LucidLink — Real-time cloud storage for teams: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Claude — The AI for problem solvers and enterprise:
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The rise of the IC CEO with Howie Liu After a viral tweet claimed Airtable was dead based on incorrect data, Howie led a radical transformation: reorganizing the entire company into "fast" and "slow" thinking teams, becoming an “IC CEO” who codes daily, and encouraging employees to cancel all their meetings to play with AI. In our conversation, we discuss: 🔸 The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman) 🔸 Why CEOs must become ICs again in the AI era 🔸 Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment 🔸 Why evals can kill innovation (and when to use “vibes” instead) Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 LucidLink — Real-time cloud storage for teams: 🏆 DX — The developer intelligence platform designed by leading researchers: 🏆 Claude — The AI for problem solvers and enterprise:

Lenny Rachitsky

243,711 görüntüleme • 11 ay önce

Microsoft CPO Aparna Chennapragada brought the 🔥 What you'll learn: 🔸 Why prompt sets are the new PRDs 🔸 Why the PM role isn’t dying in the AI era—it's actually becoming more important 🔸 How Aparna's teams live “one year in the future" 🔸 Why NLX (natural language experience) is the new UX 🔸 Why she believes Microsoft let other companies get so far ahead in the AI coding market 🔸 The three characteristics of AI agents: autonomy (delegation of tasks), complexity (handling multi-step challenges), and natural interaction (conversing beyond simple chat) 🔸 How to balance cutting-edge AI adoption with appropriate governance through dual-track approaches 🔸 Leadership differences between Microsoft’s Satya Nadella (known for multi-level thinking and early trendspotting) and Google’s Sundar Pichai (mastery of complex ecosystems) 🔸 A practical framework for evaluating zero-to-one product opportunities 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Aparna is CPO of AI at Work Microsoft, where she oversees AI product strategy for their productivity tools and their work on agents. Previously, she was the CPO at Robin Hood, spent 12 years at Google, and is also on the board of eBay and Capital One. Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Pragmatic Institute (formerly Pragmatic Marketing) — Industry‑recognized product, marketing, and AI training and certifications: 🏆 Coda — The all-in-one collaborative workspace:
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Microsoft CPO Aparna Chennapragada brought the 🔥 What you'll learn: 🔸 Why prompt sets are the new PRDs 🔸 Why the PM role isn’t dying in the AI era—it's actually becoming more important 🔸 How Aparna's teams live “one year in the future" 🔸 Why NLX (natural language experience) is the new UX 🔸 Why she believes Microsoft let other companies get so far ahead in the AI coding market 🔸 The three characteristics of AI agents: autonomy (delegation of tasks), complexity (handling multi-step challenges), and natural interaction (conversing beyond simple chat) 🔸 How to balance cutting-edge AI adoption with appropriate governance through dual-track approaches 🔸 Leadership differences between Microsoft’s Satya Nadella (known for multi-level thinking and early trendspotting) and Google’s Sundar Pichai (mastery of complex ecosystems) 🔸 A practical framework for evaluating zero-to-one product opportunities 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Aparna is CPO of AI at Work Microsoft, where she oversees AI product strategy for their productivity tools and their work on agents. Previously, she was the CPO at Robin Hood, spent 12 years at Google, and is also on the board of eBay and Capital One. Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Pragmatic Institute (formerly Pragmatic Marketing) — Industry‑recognized product, marketing, and AI training and certifications: 🏆 Coda — The all-in-one collaborative workspace:

Lenny Rachitsky

104,583 görüntüleme • 1 yıl önce

The rise of the professional vibe coder Lazar Jovanovic (Lazar 50 Jovanovic) gets paid to vibe-code full-time. That's his actual job. This is a new career path for non-technical people, and a fascinating glimpse into where product roles are heading. I found myself thinking more deeply about the future of PMs, designers, and engineers during this conversation than I have in a long time. We discuss: 🔸 Why having no coding background can be a big advantage when building with AI 🔸 His markdown file system that keeps AI agents aligned across complex builds 🔸 What to do when you get stuck: Lazar's 4x4 debugging workflow 🔸 Why you should be kicking off 4-5 parallel prototypes 🔸 Why design skills, and taste, are going to be the most important skills in the future Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Strella — The AI-powered customer research platform: 🏆 Samsara — Saving lives with AI built for physical operations: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs:
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The rise of the professional vibe coder Lazar Jovanovic (Lazar 50 Jovanovic) gets paid to vibe-code full-time. That's his actual job. This is a new career path for non-technical people, and a fascinating glimpse into where product roles are heading. I found myself thinking more deeply about the future of PMs, designers, and engineers during this conversation than I have in a long time. We discuss: 🔸 Why having no coding background can be a big advantage when building with AI 🔸 His markdown file system that keeps AI agents aligned across complex builds 🔸 What to do when you get stuck: Lazar's 4x4 debugging workflow 🔸 Why you should be kicking off 4-5 parallel prototypes 🔸 Why design skills, and taste, are going to be the most important skills in the future Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Strella — The AI-powered customer research platform: 🏆 Samsara — Saving lives with AI built for physical operations: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs:

Lenny Rachitsky

155,845 görüntüleme • 6 ay önce