Loading video...

Video Failed to Load

Go Home

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....

lennysan's profile picture

Lenny Rachitsky

384,866 subscribers

61,414 views • 6 months ago •via X (Twitter)

EducationScience & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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:
1:41

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

79,123 views • 7 months ago

.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:
1:06

.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:

Lenny Rachitsky

341,382 views • 6 months ago

AI prompt engineering in 2025 with Sander Schulhoff Learn: - The top 5 most effective prompt engineering techniques - Why role prompting no longer works - Why threatening the AI no longer works - A primer on prompt injection and AI red teaming - Practical defenses to put in place for your AI products - Much more Sander is the OG prompt engineer. He created the very first prompt engineering guide on the internet (two months before ChatGPT’s release) and recently wrote the most comprehensive study of prompt engineering ever conducted (co-authored with OpenAI, Microsoft, Google, Princeton, and Stanford). He also partners with OpenAI to run what was the first and is the largest AI red teaming competition, HackAPrompt, which helps discover the most state-of-the-art prompt injection techniques. Sander also teaches AI red teaming on Maven, advises AI companies on security, and has educated millions of people on the most state-of-the-art prompt engineering techniques. Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 eppo — Run reliable, impactful experiments: 🏆 Stripe — Helping companies of all sizes grow revenue: 🏆 Vanta — Automate compliance. Simplify security:
1:13

AI prompt engineering in 2025 with Sander Schulhoff Learn: - The top 5 most effective prompt engineering techniques - Why role prompting no longer works - Why threatening the AI no longer works - A primer on prompt injection and AI red teaming - Practical defenses to put in place for your AI products - Much more Sander is the OG prompt engineer. He created the very first prompt engineering guide on the internet (two months before ChatGPT’s release) and recently wrote the most comprehensive study of prompt engineering ever conducted (co-authored with OpenAI, Microsoft, Google, Princeton, and Stanford). He also partners with OpenAI to run what was the first and is the largest AI red teaming competition, HackAPrompt, which helps discover the most state-of-the-art prompt injection techniques. Sander also teaches AI red teaming on Maven, advises AI companies on security, and has educated millions of people on the most state-of-the-art prompt engineering techniques. Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 eppo — Run reliable, impactful experiments: 🏆 Stripe — Helping companies of all sizes grow revenue: 🏆 Vanta — Automate compliance. Simplify security:

Lenny Rachitsky

46,408 views • 1 year ago

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:
1:29

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:

Lenny Rachitsky

183,085 views • 9 months ago

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:
0:58

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 views • 11 months ago

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 views • 7 months ago

“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:
1:39

“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 views • 6 months ago

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

46,853 views • 1 year ago

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 — 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 — The all-in-one collaborative workspace:

Lenny Rachitsky

480,821 views • 6 months ago

.Anthropic CPO and Instagram co-founder Mike Krieger (Mike Krieger) on what comes next Don't miss this one. We discuss: 🔸 How Claude Code now writes 90-95% (!!) of Claude Code 🔸 What new bottlenecks appear once so much of your code is written by AI 🔸 How Anthropic plans to compete with OpenAI long-term 🔸 How to use Claude as your product strategy partner (with specific prompting techniques) 🔸 Why Mike shut down Artifact, and what other founders can learn from it 🔸 Where AI startups should focus to avoid getting squashed by OpenAI, Anthropic, and Google 🔸 Why MCP might reshape how all software works 🔸 The counterintuitive metrics that matter for AI 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Stripe — Helping companies of all sizes grow revenue: 🏆 Productboard — Make products that matter: 🏆 OneSchema — Import CSV data 10x faster:
1:15

.Anthropic CPO and Instagram co-founder Mike Krieger (Mike Krieger) on what comes next Don't miss this one. We discuss: 🔸 How Claude Code now writes 90-95% (!!) of Claude Code 🔸 What new bottlenecks appear once so much of your code is written by AI 🔸 How Anthropic plans to compete with OpenAI long-term 🔸 How to use Claude as your product strategy partner (with specific prompting techniques) 🔸 Why Mike shut down Artifact, and what other founders can learn from it 🔸 Where AI startups should focus to avoid getting squashed by OpenAI, Anthropic, and Google 🔸 Why MCP might reshape how all software works 🔸 The counterintuitive metrics that matter for AI 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Stripe — Helping companies of all sizes grow revenue: 🏆 Productboard — Make products that matter: 🏆 OneSchema — Import CSV data 10x faster:

Lenny Rachitsky

293,184 views • 1 year ago

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:
0:56

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

243,708 views • 10 months ago

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:
1:11

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 views • 1 year ago

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:
1:11

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

155,753 views • 4 months ago

I was honored to share the TED AI stage with Ilya on Oct. 17. His speech video is out today (mine's still being edited). I think it provides relevant context tokens to the ongoing events. Transcript starting at ~10'20": As AI continues to progress, as technology advances, [...] What I claim will happen is that people will start to act in unprecedentedly collaborative ways out of their own self-interest. It's already happening right now. You see the leading AGI companies starting to collaborate, such as the Frontiers model forum. And we will expect that companies, even competitors, will share technical information to make their AI safe. We may even see governments do this. As another example, at OpenAI, we really believed in how dramatic AGI is going to be. So, one of the ideas that we were operating by, and it's been written on our website for 5 years now, is that when technology gets such that we are very close to AGI, to computers smarter than humans, if some other company is far ahead of us, then rather than compete with them, we will help them out, join them, in a sense. And why do that? Because we appreciate how incredibly dramatic AGI is going to be. And my claim is that with each generation of capability advancements, as AI gets better and as all of you experience what AI can do, as people who run AI efforts and AGI efforts, and people who work on them will experience it as well, this will change the way we see AI and AGI. And that will change collective behavior. And this is an important reason why I'm hopeful that, despite the great challenges posed by this technology, we will overcome them. @TEDAI2023
12:24

I was honored to share the TED AI stage with Ilya on Oct. 17. His speech video is out today (mine's still being edited). I think it provides relevant context tokens to the ongoing events. Transcript starting at ~10'20": As AI continues to progress, as technology advances, [...] What I claim will happen is that people will start to act in unprecedentedly collaborative ways out of their own self-interest. It's already happening right now. You see the leading AGI companies starting to collaborate, such as the Frontiers model forum. And we will expect that companies, even competitors, will share technical information to make their AI safe. We may even see governments do this. As another example, at OpenAI, we really believed in how dramatic AGI is going to be. So, one of the ideas that we were operating by, and it's been written on our website for 5 years now, is that when technology gets such that we are very close to AGI, to computers smarter than humans, if some other company is far ahead of us, then rather than compete with them, we will help them out, join them, in a sense. And why do that? Because we appreciate how incredibly dramatic AGI is going to be. And my claim is that with each generation of capability advancements, as AI gets better and as all of you experience what AI can do, as people who run AI efforts and AGI efforts, and people who work on them will experience it as well, this will change the way we see AI and AGI. And that will change collective behavior. And this is an important reason why I'm hopeful that, despite the great challenges posed by this technology, we will overcome them. @TEDAI2023

Jim Fan

846,450 views • 2 years ago

David Friedberg: The AI Jobs Panic Is a Crock of Sh*t Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sh*t.”
1:42

David Friedberg: The AI Jobs Panic Is a Crock of Sh*t Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sh*t.”

The All-In Podcast

151,462 views • 19 days ago

We asked Brad Gerstner about the future of AI and America. "The age of AI is going to be the biggest supercycle of our lifetimes." "But it's going to lead to a lot of dislocation. The world will end up in a better place, but it doesn't mean that everybody ends up in a better place." "We need our best and brightest to rethink the social contract in a way that holds this fragile experiment (that is America) together." "We can't take for granted that we can go through this magnitude of change that AI is going to bring and that nothing will break."
2:35

We asked Brad Gerstner about the future of AI and America. "The age of AI is going to be the biggest supercycle of our lifetimes." "But it's going to lead to a lot of dislocation. The world will end up in a better place, but it doesn't mean that everybody ends up in a better place." "We need our best and brightest to rethink the social contract in a way that holds this fragile experiment (that is America) together." "We can't take for granted that we can go through this magnitude of change that AI is going to bring and that nothing will break."

TBPN

37,278 views • 1 year ago

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:
1:16

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:

Lenny Rachitsky

35,599 views • 1 year ago

The Marc Andreessen 🇺🇸 episode Marc is a many-time founder, investor, co-creator of the web browser, co-founder of Netscape, the "a" in a16z. In this very special conversation, we dig into why we’re living through one of the most unique times in history, and what comes next. We discuss: 🔸 Why AI is arriving at the perfect moment to counter demographic collapse and declining productivity 🔸 How Marc is raising his 10yo kid to thrive in the AI future 🔸 The 3-way standoff that’s happening between PMs, designers, and engineers 🔸 What’s actually going to happen with AI and jobs (spoiler: he thinks the panic is “totally off base”) 🔸Why AI is "the philosopher’s stone" made real 🔸 Why you should still learn to code 🔸 His media diet: X and old books, nothing in between Don't miss this one. Full episode embedded here on X 👇
1:44:34

The Marc Andreessen 🇺🇸 episode Marc is a many-time founder, investor, co-creator of the web browser, co-founder of Netscape, the "a" in a16z. In this very special conversation, we dig into why we’re living through one of the most unique times in history, and what comes next. We discuss: 🔸 Why AI is arriving at the perfect moment to counter demographic collapse and declining productivity 🔸 How Marc is raising his 10yo kid to thrive in the AI future 🔸 The 3-way standoff that’s happening between PMs, designers, and engineers 🔸 What’s actually going to happen with AI and jobs (spoiler: he thinks the panic is “totally off base”) 🔸Why AI is "the philosopher’s stone" made real 🔸 Why you should still learn to code 🔸 His media diet: X and old books, nothing in between Don't miss this one. Full episode embedded here on X 👇

Lenny Rachitsky

771,217 views • 5 months ago