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AI coding is changing faster than almost anyone can keep up. It's impossible to predict exactly where we'll be a year from now. Claude Code's Thariq (South Park Commons alum and 2x founder) came back to SPC to talk about what's on the frontier. (00:00) From Startup Founder to... show more

Evan Tana

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27,909 views • 3 days ago •via X (Twitter)

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Claude Code cracked something open for us Every 📧. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Claude Code cracked something open for us Every 📧. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Dan Shipper 📧

57,568 views • 8 months ago

Is Claude Code Better Than Cursor? This video is a crystal clear explanation on what makes Claude Code different than Cursor, Codex and Windsurf. A classic whiteboard conversation! Next time he's on the pod (soon) he's going to build an app from scratch that will blow your mind. TIMESTAMPS: 00:00 Intro to Claude Code 00:28 Why Claude Code Is Best 02:38 Comparing Cursor, Windsurf & Claude Code 07:41 Using Claude Code with Other IDEs 12:41 Future of AI Coding Tools & Claude’s SDK 19:58 Integrating Codex with Chat GPT 21:14 Best AI Code Review Tools (Devon, CodeRabbit 26:49 Building an App with Claude Code (Step-by-Step) 35:32 Future Plans

Is Claude Code Better Than Cursor? This video is a crystal clear explanation on what makes Claude Code different than Cursor, Codex and Windsurf. A classic whiteboard conversation! Next time he's on the pod (soon) he's going to build an app from scratch that will blow your mind. TIMESTAMPS: 00:00 Intro to Claude Code 00:28 Why Claude Code Is Best 02:38 Comparing Cursor, Windsurf & Claude Code 07:41 Using Claude Code with Other IDEs 12:41 Future of AI Coding Tools & Claude’s SDK 19:58 Integrating Codex with Chat GPT 21:14 Best AI Code Review Tools (Devon, CodeRabbit 26:49 Building an App with Claude Code (Step-by-Step) 35:32 Future Plans

Riley Brown

115,619 views • 1 year ago

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Matt Turck

80,519 views • 3 months ago

Anthropic co-founder Jared Kaplan on scaling and the road to human-level AI. At AI Startup School in San Francisco. 00:17 - From Physics to AI 01:41 - Initial Skepticism and Shift to AI 02:12 - AI Training Phases 02:32 - Pre-Training 03:16 - Reinforcement Learning 04:19 - Scaling Laws in Training 08:19 - Unlocking AI Capabilities 11:27 - Organizational Knowledge and Memory 12:19 - Oversight and Nuanced Tasks 13:38 - Preparing for the Future 15:48 - Claude 4 and Beyond 21:18 - Human-AI Collaboration 29:50 - Scaling Laws and Compute Efficiency 35:26 - Audience Q&A

Anthropic co-founder Jared Kaplan on scaling and the road to human-level AI. At AI Startup School in San Francisco. 00:17 - From Physics to AI 01:41 - Initial Skepticism and Shift to AI 02:12 - AI Training Phases 02:32 - Pre-Training 03:16 - Reinforcement Learning 04:19 - Scaling Laws in Training 08:19 - Unlocking AI Capabilities 11:27 - Organizational Knowledge and Memory 12:19 - Oversight and Nuanced Tasks 13:38 - Preparing for the Future 15:48 - Claude 4 and Beyond 21:18 - Human-AI Collaboration 29:50 - Scaling Laws and Compute Efficiency 35:26 - Audience Q&A

Y Combinator

116,444 views • 11 months ago

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code

Matt Turck

82,161 views • 11 months ago

Anthropic just dropped a 3-hour course on how to actually master Claude Code, taught by the engineer who built it: 00:07 – everything new in Claude Code 24:39 – Boris Cherny builds a full app live 55:38 – the complete prompting playbook 1:29:07 – the "thinking" lever almost everyone misses 1:52:58 – how to pick the right model for the job 2:24:22 – how Anthropic itself codes with Claude This 3-hour watch will replace 10 paid Claude Code courses on the internet. Watch it now, then read how to build an AI that codes while you sleep, in the article below.

Anthropic just dropped a 3-hour course on how to actually master Claude Code, taught by the engineer who built it: 00:07 – everything new in Claude Code 24:39 – Boris Cherny builds a full app live 55:38 – the complete prompting playbook 1:29:07 – the "thinking" lever almost everyone misses 1:52:58 – how to pick the right model for the job 2:24:22 – how Anthropic itself codes with Claude This 3-hour watch will replace 10 paid Claude Code courses on the internet. Watch it now, then read how to build an AI that codes while you sleep, in the article below.

Phosphen

99,358 views • 10 days ago

Claude Code is now included in the Claude Pro plan which means Pro plan subscribers can use their rate limits for Claude apps and Claude Code! To celebrate, here's a conversation with Claude Code's founding engineer, Boris Cherny, on: - how we use Claude Code at Anthropic - underrated tips for using it effectively - the future of coding tools - and more!

Claude Code is now included in the Claude Pro plan which means Pro plan subscribers can use their rate limits for Claude apps and Claude Code! To celebrate, here's a conversation with Claude Code's founding engineer, Boris Cherny, on: - how we use Claude Code at Anthropic - underrated tips for using it effectively - the future of coding tools - and more!

Alex Albert

123,756 views • 1 year ago

Mike Krieger (Mike Krieger) is the CPO of Anthropic ($10B+ raised) and the co-founder of Instagram, which he sold to Meta for $1B. Here's the full video of my recent conversation with him. Mike has one of the AI industry's most interesting jobs. He shared with me how he and his team craft product strategy for the company that's leading the charge on AI in the enterprise. Specifically, we discussed how frontier model innovations both drive product and vice versa (how product ideas inform AI research). We also talk about the long term defensibility of models (inspired by the emergence of DeepSeek), and how Mike believes that not only will individual models have specific strengths over others (such as in areas like coding, science, etc), but that a model's "vibes" will also be a major factor for driving customers' choice. Mike also shared his view on how AI will reinvent media and the business model of advertising on the internet, drawn heavily from his work building one of the most successful ad products ever built (Instagram) and his work on Artifact, an AI news product he also co-founded. Lastly, Mike dove deep into what it's like building for the Enterprise for the first time in his career, and how lessons from Instagram and Meta inform not only product development, but how Anthropic thinks about scaling its team in this period of hypergrowth. Chapters: 00:00 Introduction 00:54 Mike Krieger's Journey to Anthropic 03:17 Building Product Strategy at Anthropic 07:43 Rapid Iteration and Safety 10:58 Differentiating AI Models and User Experience 17:57 Impact of AI on Consumer Products and Business Models 24:39 Enterprise vs. Consumer Product Strategy 29:19 AI in Personal Life Management 30:15 Open Source and Claude Integrations 33:09 AI-Assisted Product Development 37:13 Scaling Teams and Processes at Anthropic 42:17 Reflections on AI and Future Prospects

Mike Krieger (Mike Krieger) is the CPO of Anthropic ($10B+ raised) and the co-founder of Instagram, which he sold to Meta for $1B. Here's the full video of my recent conversation with him. Mike has one of the AI industry's most interesting jobs. He shared with me how he and his team craft product strategy for the company that's leading the charge on AI in the enterprise. Specifically, we discussed how frontier model innovations both drive product and vice versa (how product ideas inform AI research). We also talk about the long term defensibility of models (inspired by the emergence of DeepSeek), and how Mike believes that not only will individual models have specific strengths over others (such as in areas like coding, science, etc), but that a model's "vibes" will also be a major factor for driving customers' choice. Mike also shared his view on how AI will reinvent media and the business model of advertising on the internet, drawn heavily from his work building one of the most successful ad products ever built (Instagram) and his work on Artifact, an AI news product he also co-founded. Lastly, Mike dove deep into what it's like building for the Enterprise for the first time in his career, and how lessons from Instagram and Meta inform not only product development, but how Anthropic thinks about scaling its team in this period of hypergrowth. Chapters: 00:00 Introduction 00:54 Mike Krieger's Journey to Anthropic 03:17 Building Product Strategy at Anthropic 07:43 Rapid Iteration and Safety 10:58 Differentiating AI Models and User Experience 17:57 Impact of AI on Consumer Products and Business Models 24:39 Enterprise vs. Consumer Product Strategy 29:19 AI in Personal Life Management 30:15 Open Source and Claude Integrations 33:09 AI-Assisted Product Development 37:13 Scaling Teams and Processes at Anthropic 42:17 Reflections on AI and Future Prospects

Michael Mignano

85,943 views • 1 year ago

Documentation used to eat my context window. Two MCPs cut that to 2,800 tokens. ref tools and exa ai 🕒 Key moments 00:00 Introducing ref tools and exa ai MCPs 02:08 Configuring ref tools in Claude Code 03:27 Configuring exa ai in Claude Code 04:37 Demo: Using MCPs to upgrade a Tailwind CSS project 07:22 How to configure MCPs in Cursor 10:14 Comparing Claude Code vs. Cursor performance 12:37 Setting up MCPs for Codex 15:41 Setting up MCPs for DroidFactory 16:40 Pro-tip: How to prompt agents to use MCPs 18:00 The future of AI coding and final thoughts

Documentation used to eat my context window. Two MCPs cut that to 2,800 tokens. ref tools and exa ai 🕒 Key moments 00:00 Introducing ref tools and exa ai MCPs 02:08 Configuring ref tools in Claude Code 03:27 Configuring exa ai in Claude Code 04:37 Demo: Using MCPs to upgrade a Tailwind CSS project 07:22 How to configure MCPs in Cursor 10:14 Comparing Claude Code vs. Cursor performance 12:37 Setting up MCPs for Codex 15:41 Setting up MCPs for DroidFactory 16:40 Pro-tip: How to prompt agents to use MCPs 18:00 The future of AI coding and final thoughts

Ray Fernando

17,919 views • 7 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:

.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

Anthropic just released a 4-hour course to getting a $500k AI engineering job: 00:15 - The right way to prompt Claude 33:21 - What makes Claude act dumber on your code 01:33:39 - How Anthropic use Claude every day 02:50:56 - The fix that makes Claude way smarter This 4-hour Anthropic free course replaces about 10 paid engineering courses. Watch it today, then read the step-by-step guide on building loops below.

Anthropic just released a 4-hour course to getting a $500k AI engineering job: 00:15 - The right way to prompt Claude 33:21 - What makes Claude act dumber on your code 01:33:39 - How Anthropic use Claude every day 02:50:56 - The fix that makes Claude way smarter This 4-hour Anthropic free course replaces about 10 paid engineering courses. Watch it today, then read the step-by-step guide on building loops below.

Raytar

476,324 views • 9 days ago

EPISODE 150: How AI Is Transforming Diligence, Decision-Making & the Future of Investing Joe Lonsdale sits down with John Melas-Kyriazi, co-founder & CEO of Standard Metrics (00:00) Episode intro (02:10) Academia to investor and founder (08:00) The pain point that led to Standard Metrics (12:10) How AI is transforming diligence, data collection & VC (14:20) AI as a technical copilot (17:10) AI analyst vs Human in the loop (19:20) Parsing pitch decks and new AI tools (23:10) How AI search is changing marketing (28:30) Powerful new capabilities and workflows (33:47) How quickly is everything changing?

EPISODE 150: How AI Is Transforming Diligence, Decision-Making & the Future of Investing Joe Lonsdale sits down with John Melas-Kyriazi, co-founder & CEO of Standard Metrics (00:00) Episode intro (02:10) Academia to investor and founder (08:00) The pain point that led to Standard Metrics (12:10) How AI is transforming diligence, data collection & VC (14:20) AI as a technical copilot (17:10) AI analyst vs Human in the loop (19:20) Parsing pitch decks and new AI tools (23:10) How AI search is changing marketing (28:30) Powerful new capabilities and workflows (33:47) How quickly is everything changing?

American Optimist

283,369 views • 3 months ago

How to VibeCode a Viral Mobile App that Replaces Photoshop in 18 Minutes Using: - Replicate - Flux-Kontext (Better than GPT Image Edit Model) - Paul Jankura Claude 4 Sonnet - vibecode.dev Zero Coding Required Time Stamps: 00:00 - Introduction 00:39 - Planning on Replicate Playground 03:11 - Creating the Design Whimsical for sketch 04:16 - Building the app with vibecode.dev 07:41 - Step 3 Adding the AI functionality 07:58 - Getting the Flux Kontext Playground Code 09:19 - Getting API Key for Replicate (keep secret) 10:38 - Dealing with Error 11:14 - Using Replicate Logs to debug 15:30 - Adding Share Features 17:03 - Ok, This is the app we created 17:28 - How to Access vibecode.dev right now

How to VibeCode a Viral Mobile App that Replaces Photoshop in 18 Minutes Using: - Replicate - Flux-Kontext (Better than GPT Image Edit Model) - Paul Jankura Claude 4 Sonnet - vibecode.dev Zero Coding Required Time Stamps: 00:00 - Introduction 00:39 - Planning on Replicate Playground 03:11 - Creating the Design Whimsical for sketch 04:16 - Building the app with vibecode.dev 07:41 - Step 3 Adding the AI functionality 07:58 - Getting the Flux Kontext Playground Code 09:19 - Getting API Key for Replicate (keep secret) 10:38 - Dealing with Error 11:14 - Using Replicate Logs to debug 15:30 - Adding Share Features 17:03 - Ok, This is the app we created 17:28 - How to Access vibecode.dev right now

Riley Brown

43,243 views • 1 year ago

Tom Brown (Tom Brown) co-founded Anthropic after helping build GPT-3 at OpenAI. A self-taught engineer, he went from getting a B-minus in linear algebra to becoming one of the key people behind AI's scaling breakthroughs. Today, Anthropic's Claude is the go-to choice for developers, and his team is overseeing what he calls "humanity's largest infrastructure buildout ever." On the Lightcone Podcast, he discusses his unconventional path from YC founder to AI researcher, the discovery of scaling laws that changed everything, and his advice for young engineers entering AI today. 0:00 - From Failure to Success 2:30 - Early Startup Days at Linked Language 4:12 - The Grouper Dating Experiment 6:10 - Making the Leap to OpenAI 8:42 - First Product Launch Challenges 10:12 - Self-Teaching AI Research 12:44 - Building GPT-3 Infrastructure 15:44 - The Anthropic Spinoff 18:23 - Early Days of Building Claude 20:21 - The ChatGPT Wake-Up Call 22:08 - Claude 3.5 Sonnet Breakthrough 24:13 - Why Benchmarks Don't Tell the Whole Story 26:20 - Claude Code's Secret Sauce 28:51 - Building for the AI Agent 31:11 - The Largest Infrastructure Buildout Ever 32:46 - Multi-Chip Strategy 34:38 - Advice for the Next Generation

Tom Brown (Tom Brown) co-founded Anthropic after helping build GPT-3 at OpenAI. A self-taught engineer, he went from getting a B-minus in linear algebra to becoming one of the key people behind AI's scaling breakthroughs. Today, Anthropic's Claude is the go-to choice for developers, and his team is overseeing what he calls "humanity's largest infrastructure buildout ever." On the Lightcone Podcast, he discusses his unconventional path from YC founder to AI researcher, the discovery of scaling laws that changed everything, and his advice for young engineers entering AI today. 0:00 - From Failure to Success 2:30 - Early Startup Days at Linked Language 4:12 - The Grouper Dating Experiment 6:10 - Making the Leap to OpenAI 8:42 - First Product Launch Challenges 10:12 - Self-Teaching AI Research 12:44 - Building GPT-3 Infrastructure 15:44 - The Anthropic Spinoff 18:23 - Early Days of Building Claude 20:21 - The ChatGPT Wake-Up Call 22:08 - Claude 3.5 Sonnet Breakthrough 24:13 - Why Benchmarks Don't Tell the Whole Story 26:20 - Claude Code's Secret Sauce 28:51 - Building for the AI Agent 31:11 - The Largest Infrastructure Buildout Ever 32:46 - Multi-Chip Strategy 34:38 - Advice for the Next Generation

Y Combinator

96,331 views • 11 months ago

Jesse Genet on Agentic Parenting Jesse Genet joins a16z's Sarah Wang and Katherine Boyle to discuss her journey from founder to parent, how she's using agents in her household, and how AI could transform parenting for the better. 00:00 YC founder turned homeschool mom 03:00 Discovering Claude Code and agentic building 06:00 Building while homeschooling 4 kids under 5 11:00 How AI generates personalized lesson plans and logs progress 18:00 Jesse's 11-agents 27:05 Agent tech stack deep dive 33:56 How agents improve daily life 40:04 Letting kids interact with AI: values, risks, and the future of parenting Jesse Genet Katherine Boyle Sarah Wang

Jesse Genet on Agentic Parenting Jesse Genet joins a16z's Sarah Wang and Katherine Boyle to discuss her journey from founder to parent, how she's using agents in her household, and how AI could transform parenting for the better. 00:00 YC founder turned homeschool mom 03:00 Discovering Claude Code and agentic building 06:00 Building while homeschooling 4 kids under 5 11:00 How AI generates personalized lesson plans and logs progress 18:00 Jesse's 11-agents 27:05 Agent tech stack deep dive 33:56 How agents improve daily life 40:04 Letting kids interact with AI: values, risks, and the future of parenting Jesse Genet Katherine Boyle Sarah Wang

a16z

1,789,328 views • 3 months ago

"LM Arena is a cancer on AI. Labs have entire teams dedicated to hacking it." Edwin Chen (echen), CEO of Surge AI, on why the industry's favorite benchmark is broken and how Surge hit $1.2 billion in revenue without ever raising. Aravind Srinivas (Aravind Srinivas), CEO of Perplexity, on Apple's AI advantage, Claude Code economics, the endgame of coding, and Perplexity Computer. They join @jason on This Week in AI Episode 10: 00:00 Intro to Aravind Srinivas and Edwin Chen 05:25 Edwin on Surge: School for AGI 10:47 What Apple's next CEO should do 21:20 "The iPhone is not getting disrupted by AI" 23:55 Bootstrapping Surge past $1B without raising 30:58 Claude Code as a loss leader 33:30 Are we in the endgame for coding? 41:34 30% headcount growth, 5x revenue 50:29 "People don't buy models, they buy products" 58:00 "LM Arena is a cancer on AI" 1:05:41 Model Council and orchestrating frontier models Full episode on YT, Spotify, and Apple Podcasts below: Perplexity Surge AI

"LM Arena is a cancer on AI. Labs have entire teams dedicated to hacking it." Edwin Chen (echen), CEO of Surge AI, on why the industry's favorite benchmark is broken and how Surge hit $1.2 billion in revenue without ever raising. Aravind Srinivas (Aravind Srinivas), CEO of Perplexity, on Apple's AI advantage, Claude Code economics, the endgame of coding, and Perplexity Computer. They join @jason on This Week in AI Episode 10: 00:00 Intro to Aravind Srinivas and Edwin Chen 05:25 Edwin on Surge: School for AGI 10:47 What Apple's next CEO should do 21:20 "The iPhone is not getting disrupted by AI" 23:55 Bootstrapping Surge past $1B without raising 30:58 Claude Code as a loss leader 33:30 Are we in the endgame for coding? 41:34 30% headcount growth, 5x revenue 50:29 "People don't buy models, they buy products" 58:00 "LM Arena is a cancer on AI" 1:05:41 Model Council and orchestrating frontier models Full episode on YT, Spotify, and Apple Podcasts below: Perplexity Surge AI

This Week in AI

40,352 views • 2 months ago

We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens

We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens

Y Combinator

67,145 views • 2 months ago

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below

rari

100,600 views • 4 days ago

Jordan Fisher (jordan ezra) is the co-founder & CEO of Standard AI and now leads an AI alignment research team at Anthropic. In his talk at AI Startup School, he frames the future of startups through questions rather than answers—asking how founders should navigate a world where AGI may be just a few years away. 0:00 – Why He's More Confused Than Ever 2:00 – Should You Even Start a Startup? 5:00 – Planning Beyond the Next Model 8:00 – Will Software Be Commoditized? 11:00 – Building AI-Native Teams 14:00 – Trust, Security, and Agents 18:00 – Auditing & Guardrails 21:00 – Alignment & Economic Pressure 24:00 – Data, Defensibility, and Hard Problems 28:00 – Neutrality and Control 32:00 – Changing the World vs. Just Making Money 36:00 – Build Something People Want (and Need) 39:00 – Audience Q&A

Jordan Fisher (jordan ezra) is the co-founder & CEO of Standard AI and now leads an AI alignment research team at Anthropic. In his talk at AI Startup School, he frames the future of startups through questions rather than answers—asking how founders should navigate a world where AGI may be just a few years away. 0:00 – Why He's More Confused Than Ever 2:00 – Should You Even Start a Startup? 5:00 – Planning Beyond the Next Model 8:00 – Will Software Be Commoditized? 11:00 – Building AI-Native Teams 14:00 – Trust, Security, and Agents 18:00 – Auditing & Guardrails 21:00 – Alignment & Economic Pressure 24:00 – Data, Defensibility, and Hard Problems 28:00 – Neutrality and Control 32:00 – Changing the World vs. Just Making Money 36:00 – Build Something People Want (and Need) 39:00 – Audience Q&A

Y Combinator

112,173 views • 9 months ago

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

Y Combinator

155,571 views • 1 month ago