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Can a vibe coder make a better app than a senior iOS engineer? - Both of us will use Claude 4.1 Opus - We each get 5 prompts - We each get to pick our stack vs @rileybrown_ai You can win $1000 worth of credits by voting who won... below: TIME STAMPS 00:00 Intro 02:47 Getting set up with Claude Code and XCode 05:53 Vishal #1 First Prompt into Claude Code 09:46 Vishal #2 Fixing errors 12:30 Getting set up with 15:00 Riley #1 First Prompt 25:46 Riley #2 Fixing Render Error 30:15 Vishal #3 Creating Folders 34:21 Riley #3 Calendar integration 41:48 Vishal #4 Fixing Folders and more 44:42 Riley #4 Recording Animation, and render error 47:46 Vishal #5 Massive Prompt (Make or break) 50:19 Riley #5 Polishing the app 55:45 Final results / Voteshow more

Riley Brown

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72,246 次观看 • 11 个月前 •via X (Twitter)

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How to build an iOS app that uses the best AI image generator... IN UNDER 37 minutes. And get it on the Apple App Store... With Zero Coding... STACK: 1. New web app for vibecode 2. Ideogram New Character Generation Feature 3. FAL API 4. Claude 4 Sonnet and GPT-5 for coding TIMESTAMPS: 00:00 Intro 00:51 Setting Up the AI Prompt 01:12 Understanding and Using APIs 03:47 First Prompt on the vibecode website 08:04 Ideogram Works Now! 08:24 Changes we want to make to the app 12:25 Aspect Ratio of Thumbnails, FIXED! 15:23 Generating and Reviewing Thumbnails 16:36 Implementing New Features 19:52 Final Adjustments before App Store Submission 21:18 The Apps Final Form 22:42 Shipping our app to the app store Video with Muhammad Zulali

How to build an iOS app that uses the best AI image generator... IN UNDER 37 minutes. And get it on the Apple App Store... With Zero Coding... STACK: 1. New web app for vibecode 2. Ideogram New Character Generation Feature 3. FAL API 4. Claude 4 Sonnet and GPT-5 for coding TIMESTAMPS: 00:00 Intro 00:51 Setting Up the AI Prompt 01:12 Understanding and Using APIs 03:47 First Prompt on the vibecode website 08:04 Ideogram Works Now! 08:24 Changes we want to make to the app 12:25 Aspect Ratio of Thumbnails, FIXED! 15:23 Generating and Reviewing Thumbnails 16:36 Implementing New Features 19:52 Final Adjustments before App Store Submission 21:18 The Apps Final Form 22:42 Shipping our app to the app store Video with Muhammad Zulali

Riley Brown

52,563 次观看 • 11 个月前

This guy literally broke down everything to build a 21 agent dev team in Claude Code: 0:00 - Why one prompt = AI slop 1:55 - Claude Code as your full startup 2:43 - The 21-agent team 4:57 - Inside the system analyst agent 5:52 - Live demo: 0 → TestFlight 8:42 - Define a "good" system analyst first 11:53 - The system analyst workflow 12:17 - Why Confluence + Jira + MCPs matter 15:30 - Classic PM skills > vibe coding 19:15 - The scaffolding that kills spaghetti code 22:10 - Setting up agents inside Claude Code 26:19 - The longest dictation prompt this podcast has seen 35:29 - Why dictation beats typing for AI specs 47:30 - Brand guidelines in Figma Make 55:59 - Idea → prompt → design → app 1:06:27 - Claude Code builds the Figma screens 1:23:59 - Frontend tickets appear in Jira (with Figma links) 1:48:49 - The hockey rules AI app goes live 1:53:56 - Full recap: Claude, Confluence, Figma, Jira, Simulator, TestFlight 2:03:17 - Should PMs get AI PM certificates? 2:08:15 - How to build a PM portfolio that lands FAANG offers 2:13:25 - How to get started this week

Aakash Gupta

178,026 次观看 • 2 个月前

Here's my conversation with Dario Amodei, CEO of Anthropic, the company that created Claude, one of the best AI systems in the world. We talk about scaling, AI safety, regulation, and a lot of super technical details about the present and future of AI and humanity. It's a 5+ hour conversation in total. Amanda Askell and Chris Olah (Chris Olah) join us for an hour each to talk about Claude's character and mechanistic interpretability, respectively. This was a fascinating, wide-ranging, super-technical, and fun conversation! First 4 hours are here on X (4 hours is current limit), and is up on everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 3:14 - Scaling laws 12:20 - Limits of LLM scaling 20:45 - Competition with OpenAI, Google, xAI, Meta 26:08 - Claude 29:44 - Opus 3.5 34:30 - Sonnet 3.5 37:50 - Claude 4.0 42:02 - Criticism of Claude 54:49 - AI Safety Levels 1:05:37 - ASL-3 and ASL-4 1:09:40 - Computer use 1:19:35 - Government regulation of AI 1:38:24 - Hiring a great team 1:47:14 - Post-training 1:52:39 - Constitutional AI 1:58:05 - Machines of Loving Grace 2:17:11 - AGI timeline 2:29:46 - Programming 2:36:46 - Meaning of life 2:42:53 - Amanda Askell - Philosophy 2:45:21 - Programming advice for non-technical people 2:49:09 - Talking to Claude 3:05:41 - Prompt engineering 3:14:15 - Post-training 3:18:54 - Constitutional AI 3:23:48 - System prompts 3:29:54 - Is Claude getting dumber? 3:41:56 - Character training 3:42:56 - Nature of truth 3:47:32 - Optimal rate of failure 3:54:43 - AI consciousness 4:09:14 - AGI 4:17:52 - Chris Olah - Mechanistic Interpretability 4:22:44 - Features, Circuits, Universality 4:40:17 - Superposition 4:51:16 - Monosemanticity 4:58:08 - Scaling Monosemanticity 5:06:56 - Macroscopic behavior of neural networks 5:11:50 - Beauty of neural networks

Here's my conversation with Dario Amodei, CEO of Anthropic, the company that created Claude, one of the best AI systems in the world. We talk about scaling, AI safety, regulation, and a lot of super technical details about the present and future of AI and humanity. It's a 5+ hour conversation in total. Amanda Askell and Chris Olah (Chris Olah) join us for an hour each to talk about Claude's character and mechanistic interpretability, respectively. This was a fascinating, wide-ranging, super-technical, and fun conversation! First 4 hours are here on X (4 hours is current limit), and is up on everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 3:14 - Scaling laws 12:20 - Limits of LLM scaling 20:45 - Competition with OpenAI, Google, xAI, Meta 26:08 - Claude 29:44 - Opus 3.5 34:30 - Sonnet 3.5 37:50 - Claude 4.0 42:02 - Criticism of Claude 54:49 - AI Safety Levels 1:05:37 - ASL-3 and ASL-4 1:09:40 - Computer use 1:19:35 - Government regulation of AI 1:38:24 - Hiring a great team 1:47:14 - Post-training 1:52:39 - Constitutional AI 1:58:05 - Machines of Loving Grace 2:17:11 - AGI timeline 2:29:46 - Programming 2:36:46 - Meaning of life 2:42:53 - Amanda Askell - Philosophy 2:45:21 - Programming advice for non-technical people 2:49:09 - Talking to Claude 3:05:41 - Prompt engineering 3:14:15 - Post-training 3:18:54 - Constitutional AI 3:23:48 - System prompts 3:29:54 - Is Claude getting dumber? 3:41:56 - Character training 3:42:56 - Nature of truth 3:47:32 - Optimal rate of failure 3:54:43 - AI consciousness 4:09:14 - AGI 4:17:52 - Chris Olah - Mechanistic Interpretability 4:22:44 - Features, Circuits, Universality 4:40:17 - Superposition 4:51:16 - Monosemanticity 4:58:08 - Scaling Monosemanticity 5:06:56 - Macroscopic behavior of neural networks 5:11:50 - Beauty of neural networks

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1,374,629 次观看 • 1 年前

Who Can Build a Better Astrology iOS App? A Vibe Coder or Senior iOS Engineer? We both shipped to the app store by the end of the video. TOPICS: - Image Generation for design - API Integrations (ElevenLabs, OpenAI) - Using AI to make onboarding flow - Haptics, Streaming - New vibecode.dev interface TIME STAMPS: 00:00 Intro 01:07 What app we're trying to build today 03:19 Prompting Claude Code on Phone to Build a Mobile App 05:34 Competition Begins 06:06 Adding Images / Icons to your app 08:51 Generating Sounds to put in Mobile App 11:11 Adding Sound Effects and API integrations 12:56 Adding the Generated Assets to the App 14:49 Riley Copied Muhammad's Onboarding 23:15 Sharing my vibecode app 24:04 Sound in Muhammads App 24:45 Rileys App Streams 26:04 Why Copying is true religion 27:36 FINAL PROMPT

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Riley Brown

23,096 次观看 • 8 个月前

CLAUDE IS SO MUCH BETTER WHEN YOU USE MCP Both Claude Sonnet and Opus are Insanely smart Agents. But they can't read your mind. You need to Give it Context... (MCP = model CONTEXT protocol) Here is an example... Then a tutorial on how to give Claude access to MCP tools without writing a single line of code or copying any "JSON". TIME STAMPS: 00:00 - Introduction 01:00 - First Example with Notion - Searching, Research, Scripting 02:53 - Generating 5 YouTube Thumbnails GLIF - Adding Auto Comments to Notion 04:52 - Claude Project System Prompt - (Will make follow up video) 05:13 - How to set up these MCP's

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Riley Brown

344,940 次观看 • 1 年前

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up

Chong-U

47,264 次观看 • 4 个月前

Here's my conversation with Matthew Cox, a former con man who served 13 years in federal prison for identity theft and bank fraud totaling $55 million. He was on FBI Most Wanted and Secret Service Most Wanted lists. This 6 hour podcast is his story. First 3 hours are here on X (since there's a 3 hour limit) and is up on YouTube, Spotify, and everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 1:59 - Mortgage fraud 16:47 - Creating fake people 50:33 - Arrested by FBI 1:07:24 - Omerta: Code of silence 1:29:41 - Fake ID's 1:59:03 - Getting caught 2:12:28 - Going on the run from FBI 2:24:09 - Identity theft 2:44:49 - More scams 2:56:38 - FBI Most Wanted 2:59:06 - Close calls 3:30:01 - Break up with Becky 3:34:42 - Calling parents 3:36:41 - Calling FBI 3:42:21 - Running from cops 4:04:11 - Getting arrested 4:19:36 - Snitching 4:35:51 - Prison 4:53:23 - War dogs 5:00:05 - Frank Amodeo 5:35:37 - Freedom 5:46:31 - Family 5:52:34 - Regret

Here's my conversation with Matthew Cox, a former con man who served 13 years in federal prison for identity theft and bank fraud totaling $55 million. He was on FBI Most Wanted and Secret Service Most Wanted lists. This 6 hour podcast is his story. First 3 hours are here on X (since there's a 3 hour limit) and is up on YouTube, Spotify, and everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 1:59 - Mortgage fraud 16:47 - Creating fake people 50:33 - Arrested by FBI 1:07:24 - Omerta: Code of silence 1:29:41 - Fake ID's 1:59:03 - Getting caught 2:12:28 - Going on the run from FBI 2:24:09 - Identity theft 2:44:49 - More scams 2:56:38 - FBI Most Wanted 2:59:06 - Close calls 3:30:01 - Break up with Becky 3:34:42 - Calling parents 3:36:41 - Calling FBI 3:42:21 - Running from cops 4:04:11 - Getting arrested 4:19:36 - Snitching 4:35:51 - Prison 4:53:23 - War dogs 5:00:05 - Frank Amodeo 5:35:37 - Freedom 5:46:31 - Family 5:52:34 - Regret

Lex Fridman

924,354 次观看 • 2 年前

Building a very useful app in 20 minutes that has - Deep Research (Perplexity) - Claude 3.7 Sonnet - YT Transcript API (SupaData) Without writing a single line of code With the latest Cursor update with web search and Claude 3.7 Sonnet, Vibe Coding got even more vibey. Timestamps: 00:00 Getting Started 00:57 Ideating with excalidraw 02:29 Opening Cursor Starting From Template 05:25 Perplexity Deep Research API and Claude API set up 10:18 OHHH NO AN ERROR! WHATEVER WILL I DO? 11:17 PERPLEXITY AND CLAUDE WORKED! 12:02 IMPROVING DESIGN 13:04 ADDING YOUTUBE TRANSCRIPT API 15:21 Redesign Concept with v0 17:07 This is what we created 19:42 Want to dive deeper into vibe coding?

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Riley Brown

84,875 次观看 • 1 年前

Here's my conversation with ThePrimeagen, a programmer who has educated, entertained, and inspired millions of people to build software and have fun doing it. It's here on X in full, and is up everywhere else too (see comment). Timestamps: 0:00 - Introduction 0:42 - Love for programming 10:15 - Hardest part of programming 12:31 - Types of programming 20:08 - Life story 30:12 - Hardship 31:44 - High school 37:30 - Porn addiction 47:16 - God 1:02:59 - Perseverance 1:12:55 - Netflix 1:25:23 - Groovy 1:30:27 - Printf() debugging 1:36:49 - Falcor 1:46:19 - Breaking production 1:49:04 - Pieter Levels 1:53:34 - Netflix, Twitch, and YouTube infrastructure 2:05:36 - ThePrimeagen origin story 2:20:52 - Learning programming languages 2:29:55 - Best programming languages in 2025 2:34:50 - Python 2:35:30 - HTML & CSS 2:36:20 - Bash 2:37:00 - FFmpeg 2:43:42 - Performance 2:46:15 - Rust 2:51:03 - Epic projects 3:04:27 - Asserts 3:13:41 - ADHD 3:21:49 - Productivity 3:26:13 - Programming setup 4:01:43 - Coffee 4:08:47 - Programming with AI 4:51:31 - Advice for young programmers 5:03:03 - Reddit questions 5:10:35 - God

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1,135,502 次观看 • 1 年前

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Miles Deutscher

55,194 次观看 • 4 天前

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Riley Brown

177,036 次观看 • 1 年前

Cursor Complete Guide for AI Coding... 1. The Basics, Composer, Cursor 2.0, Why use Cursor? 2. Multiple Agent Testing, Adding Database, Deploying to Vercel 3. Comparing the big 4: v0, Replit, Lovable, Cursor And more... with Senior Software Engineer Kehan Zhang TIME STAMPS --------------- 1. BASICS: 00:00 Introduction 01:01 Overview of Cursor and Its Features 01:47 Getting Started with Cursor 02:39 Understanding IDE and Vibe Coding 06:00 Cursor For Mobile Apps 10:26 Downloading and Installing Cursor 11:17 Creating and Managing Projects in Cursor 15:14 Building a Simple Game with Cursor 19:10 Advanced Features and Customization 40:28 Fixing Styling Rules 40:53 Redesigning the App 42:17 Exploring Cursor 2.0 Features 43:22 Setting Up the Project Structure 44:17 Adding and Testing Meme Templates 46:08 Debugging Text Issues 2. ADVANCED 49:46 Using Multiple Agents 01:10:40 Creating Custom Commands 01:14:15 Creating Commands in Settings Tab 01:15:11 Introduction to Instant DB 01:16:04 Setting Up Instant DB in Your Project 01:18:24 Building a Full Stack Application 01:19:04 Using the Agent to Plan and Build 01:26:06 Testing and Debugging the Application 01:53:02 Deploying the Application with Vercel 01:55:35 Setting Up the CLI 01:56:15 Understanding Command Line Interfaces (CLI) 01:57:32 Deploying Code to Vercel 01:58:07 Handling Environment Variables 01:58:44 Interacting with the Vercel Deployment 02:00:34 Exploring Cursor's Capabilities 3. COMPARING VIBE CODING TOOLS 02:09:48 Comparing Vibe Coding Tools 02:31:04 Final Thoughts and Recommendations

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Riley Brown

65,318 次观看 • 8 个月前

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

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Chong-U

14,297 次观看 • 2 个月前

How to Make An Entire iOS App That Doesn't Look Like AI Slop (1 Hour Full Walkthrough) Let's go through how to use Claude Code, Claude Design, Seedance 2.0, GPT Image 2.0 and a few other tools to make sure this iOS app is as far from AI slop as possible while also having a completely functioning backend with pay walls 00:00 Building an App Overview 01:19 How I Made Merl in One Week 03:16 Market Research for Ideas 07:04 Choosing the Wrapper Concept 08:51 Pinterest UI Inspiration 11:16 Define Style + Mascot Plan 12:00 Create Mascots in GPT Image 2.0 17:04 Animate Mascots with Seedance 2.0 (!!) 23:41 Design Onboarding in Claude Design 29:01 Getting Some API Keys 30:35 Onboarding Video Choices 32:30 Build Full App Screens on Claude Design 33:28 Setup Supabase + Railway 35:31 Claude Code GitHub Setup 38:57 Multi Terminal + Simulator Workflow 43:17 Fixing Errors 44:00 Backend Keys Integration 46:23 Landing Page Generation 53:52 Test Generation 57:40 RevenueCat + Pricing Strategy 01:00:54 Final Wrap

How to Make An Entire iOS App That Doesn't Look Like AI Slop (1 Hour Full Walkthrough) Let's go through how to use Claude Code, Claude Design, Seedance 2.0, GPT Image 2.0 and a few other tools to make sure this iOS app is as far from AI slop as possible while also having a completely functioning backend with pay walls 00:00 Building an App Overview 01:19 How I Made Merl in One Week 03:16 Market Research for Ideas 07:04 Choosing the Wrapper Concept 08:51 Pinterest UI Inspiration 11:16 Define Style + Mascot Plan 12:00 Create Mascots in GPT Image 2.0 17:04 Animate Mascots with Seedance 2.0 (!!) 23:41 Design Onboarding in Claude Design 29:01 Getting Some API Keys 30:35 Onboarding Video Choices 32:30 Build Full App Screens on Claude Design 33:28 Setup Supabase + Railway 35:31 Claude Code GitHub Setup 38:57 Multi Terminal + Simulator Workflow 43:17 Fixing Errors 44:00 Backend Keys Integration 46:23 Landing Page Generation 53:52 Test Generation 57:40 RevenueCat + Pricing Strategy 01:00:54 Final Wrap

ashen

69,724 次观看 • 2 个月前

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 次观看 • 8 个月前

64 Arguments Against Democratic Socialism Timestamps: 0:00 Definitions 2:28 Hyper-individualism 5:44 Universality 9:30 He Who Pays the Piper, Calls the Tune 12:37 Welfare State Turns Humans From Assets to Liabilities 15:18 Against Me 16:25 Trump Test 18:29 Zero Sum Thinking 21:05 Forcible Depravation 22:46 Monopoly Contradiction 25:27 Vilifying Producers 28:03 Competition Protects People 32:03 The Secret to Mass Consumption = Mass Production 34:30 Decreasing Prices in the Private Sector & Potential Competition 39:35 The Myth of the Rational Voter: Fake Power vs. Real Power 50:02 Social Contract Myth 53:29 "Which Happens First?" 58:45 Static Thinking Fallacy 1:03:20 Metrics for Standard of Living & Time Prices 1:07:58 Humans Are Inherently Self Interested 1:12:53 Recognizing Rights as Reciprocal 1:14:49 We Are Not the Government 1:17:29 More Power = Better Outcome Assumption 1:21:19 The Myth of "Free" 1:23:50 Iron Law of Oligarchy 1:26:50 Praxeology 1:37:55 Inequality & Trickle Down Economics 1:44:41 Domestic Imperialism 1:48:56 Regulatory Capture 1:50:48 Abolish the Police 1:53:02 The Empirical Case 1:54:08 "Me Being X Doesn't Affect You" 1:56:01 Material Mindset 1:59:16 Capital Financing Shift 2:00:30 The Value of the Capitalist 2:03:47 Opposition to Voluntary Solutions 2:07:45 Apartheid Entitlement 2:14:36 Democracy and Delegating Rights 2:17:02 The Expert Problem 2:23:45 Capitalist Time Preference 2:31:41 Capitalist Productivity 2:34:15 Self-Ownership 2:38:15 Who Defines What "Service X" is? 2:41:57 Inevitability of Scarcity 2:46:35 The Angel Argument 2:49:04 The Crimes of the 99% 2:51:09 "Poverty Causes Crime" 2:53:04 Intentions Over Results 2:57:41 Free Association = The Ultimate "Check and Balance" 3:00:31 Surplus Value 3:04:39 Firms Reduce Transaction Costs 3:08:21 Collective Action Problem 3:10:09 Empiricism, the High Cost of Experimentation, and the Difficulty in Isolating Variables 3:12:46 Each According to Their Ability? Need? 3:15:51 Disparities Prove Discrimination 3:23:58 Comparing Theory to Reality 3:31:42 Nirvana Fallacy 3:34:41 Which Collective? 3:39:20 Argument From Tolerance 3:39:50 Prices: Signal & Incentive 3:42:58 Catastrophizing 3:46:43 Stock Diversification 3:48:17 Press Conference Bias 3:50:20 Divorce and Discrimination 3:53:38 Discouraging Savings

64 Arguments Against Democratic Socialism Timestamps: 0:00 Definitions 2:28 Hyper-individualism 5:44 Universality 9:30 He Who Pays the Piper, Calls the Tune 12:37 Welfare State Turns Humans From Assets to Liabilities 15:18 Against Me 16:25 Trump Test 18:29 Zero Sum Thinking 21:05 Forcible Depravation 22:46 Monopoly Contradiction 25:27 Vilifying Producers 28:03 Competition Protects People 32:03 The Secret to Mass Consumption = Mass Production 34:30 Decreasing Prices in the Private Sector & Potential Competition 39:35 The Myth of the Rational Voter: Fake Power vs. Real Power 50:02 Social Contract Myth 53:29 "Which Happens First?" 58:45 Static Thinking Fallacy 1:03:20 Metrics for Standard of Living & Time Prices 1:07:58 Humans Are Inherently Self Interested 1:12:53 Recognizing Rights as Reciprocal 1:14:49 We Are Not the Government 1:17:29 More Power = Better Outcome Assumption 1:21:19 The Myth of "Free" 1:23:50 Iron Law of Oligarchy 1:26:50 Praxeology 1:37:55 Inequality & Trickle Down Economics 1:44:41 Domestic Imperialism 1:48:56 Regulatory Capture 1:50:48 Abolish the Police 1:53:02 The Empirical Case 1:54:08 "Me Being X Doesn't Affect You" 1:56:01 Material Mindset 1:59:16 Capital Financing Shift 2:00:30 The Value of the Capitalist 2:03:47 Opposition to Voluntary Solutions 2:07:45 Apartheid Entitlement 2:14:36 Democracy and Delegating Rights 2:17:02 The Expert Problem 2:23:45 Capitalist Time Preference 2:31:41 Capitalist Productivity 2:34:15 Self-Ownership 2:38:15 Who Defines What "Service X" is? 2:41:57 Inevitability of Scarcity 2:46:35 The Angel Argument 2:49:04 The Crimes of the 99% 2:51:09 "Poverty Causes Crime" 2:53:04 Intentions Over Results 2:57:41 Free Association = The Ultimate "Check and Balance" 3:00:31 Surplus Value 3:04:39 Firms Reduce Transaction Costs 3:08:21 Collective Action Problem 3:10:09 Empiricism, the High Cost of Experimentation, and the Difficulty in Isolating Variables 3:12:46 Each According to Their Ability? Need? 3:15:51 Disparities Prove Discrimination 3:23:58 Comparing Theory to Reality 3:31:42 Nirvana Fallacy 3:34:41 Which Collective? 3:39:20 Argument From Tolerance 3:39:50 Prices: Signal & Incentive 3:42:58 Catastrophizing 3:46:43 Stock Diversification 3:48:17 Press Conference Bias 3:50:20 Divorce and Discrimination 3:53:38 Discouraging Savings

Voluntaryist Keith

317,397 次观看 • 21 天前

Vibe Coding with Codex - Complete Guide Build a Web App, Desktop App & iOS App with Codex + GPT‑5.5 (No Coding Needed, Beginner Friendly) In this video you will learn: > Vibe Coding Basics + Vocab > How to build a web app using Codex > Add db, auth + storage with Firebase > Github Basics > Add AI Features (API's) > Deploy to internet (Vercel) > Convert Web App into Desktop app & iOS App Chapters 00:00 Intro 01:12 Setting up Codex 01:57 The basics of Vibe Coding and Codex 02:20 Projects, Files, App 03:45 Example App - Microsoft Paint 04:25 Running app locally 06:39 Save My Code - Use Github 10:37 Quick Review before building app 12:24 Building a web app - The Prompt 15:32 Creating Web App Project 16:34 Explaining Firebase (Database, Storage, Auth) 18:42 Setting up Firebase Project 22:54 Prompting Codex to build our app 24:49 Inspect Element - Console 26:24 Verify Data being Stored in Database 27:51 Making Changes to App 31:29 Fixing Storage Permissions with Codex 32:20 GPT API - Adding AI to our app 36:20 Making more changes using screenshots 39:02 Queuing vs Steering 40:23 Deploying our app to Vercel (App on Internet) 43:09 Convert web app to desktop app and iOS app 47:15 Web App and Desktop App work Now 48:36 Now let's run the iOS app 50:27 All three apps work! 51:11 Making Changes to iOS app 52:51 Testing agent skill feature of our app 53:55 Summary of what we did

Vibe Coding with Codex - Complete Guide Build a Web App, Desktop App & iOS App with Codex + GPT‑5.5 (No Coding Needed, Beginner Friendly) In this video you will learn: > Vibe Coding Basics + Vocab > How to build a web app using Codex > Add db, auth + storage with Firebase > Github Basics > Add AI Features (API's) > Deploy to internet (Vercel) > Convert Web App into Desktop app & iOS App Chapters 00:00 Intro 01:12 Setting up Codex 01:57 The basics of Vibe Coding and Codex 02:20 Projects, Files, App 03:45 Example App - Microsoft Paint 04:25 Running app locally 06:39 Save My Code - Use Github 10:37 Quick Review before building app 12:24 Building a web app - The Prompt 15:32 Creating Web App Project 16:34 Explaining Firebase (Database, Storage, Auth) 18:42 Setting up Firebase Project 22:54 Prompting Codex to build our app 24:49 Inspect Element - Console 26:24 Verify Data being Stored in Database 27:51 Making Changes to App 31:29 Fixing Storage Permissions with Codex 32:20 GPT API - Adding AI to our app 36:20 Making more changes using screenshots 39:02 Queuing vs Steering 40:23 Deploying our app to Vercel (App on Internet) 43:09 Convert web app to desktop app and iOS app 47:15 Web App and Desktop App work Now 48:36 Now let's run the iOS app 50:27 All three apps work! 51:11 Making Changes to iOS app 52:51 Testing agent skill feature of our app 53:55 Summary of what we did

Riley Brown

146,128 次观看 • 2 个月前

Here's my conversation with Cenk Uygur (Cenk Uygur), a progressive political commentator who makes the case for left-wing progressive ideas. We discuss communism, capitalism, and corruption in politics among many other topics. First 4 hours are here on X, and is up on YouTube, Spotify, and everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 2:03 - Progressivism 8:12 - Communism 23:00 - Capitalism 29:03 - Corruption 33:49 - Money in politics 50:36 - Fixing politics 1:09:47 - Meritocracy & DEI 1:20:45 - Far-left vs far-right 1:55:19 - Donald Trump 2:15:36 - Joe Biden 2:34:03 - Bernie Sanders 2:47:32 - Kamala Harris 2:55:00 - Harris vs Trump presidential debate 3:08:31 - RFK Jr 3:18:12 - The Young Turks 3:26:25 - Joe Rogan 3:36:05 - Propaganda 3:43:22 - Conspiracy theories 3:51:09 - Israel-Palestine 4:00:56 - Hope

Here's my conversation with Cenk Uygur (Cenk Uygur), a progressive political commentator who makes the case for left-wing progressive ideas. We discuss communism, capitalism, and corruption in politics among many other topics. First 4 hours are here on X, and is up on YouTube, Spotify, and everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 2:03 - Progressivism 8:12 - Communism 23:00 - Capitalism 29:03 - Corruption 33:49 - Money in politics 50:36 - Fixing politics 1:09:47 - Meritocracy & DEI 1:20:45 - Far-left vs far-right 1:55:19 - Donald Trump 2:15:36 - Joe Biden 2:34:03 - Bernie Sanders 2:47:32 - Kamala Harris 2:55:00 - Harris vs Trump presidential debate 3:08:31 - RFK Jr 3:18:12 - The Young Turks 3:26:25 - Joe Rogan 3:36:05 - Propaganda 3:43:22 - Conspiracy theories 3:51:09 - Israel-Palestine 4:00:56 - Hope

Lex Fridman

358,918 次观看 • 1 年前

I'm often asked for the best public example of AI evals done right for a real, production product. I finally have an answer. Teresa Torres shares how she shipped an AI interview coach, and used evals to rapidly squash bugs and improve the product. Teresa shows how she: 1. did error analysis FIRST to find real issues (instead of using generic metrics) 😍 2. used Jupyter notebooks to analyze errors 3. built custom annotation tools + custom widgets in notebooks 4. built a LLM-judge and assertions to test for specific errors 5. iterated through this feedback loop until it worked. 6. kept things simple the whole time It's also probably the best commercial for Jupyter notebooks you can imagine. 🥰 Chapter summary below. Link to YT in next thread 00:00:00 - Intro 00:01:45 - The Product: Building an AI Interview Coach 00:06:34 - The Problem: How Do I Know if My AI Coach is Any Good? 00:10:15 - Using Airtable for Traces and Annotation 00:12:15 - Discovering Jupyter Notebooks and Designing the First Evals 00:15:15 - Example Evals: LLM-as-Judge vs. Code-Based Assertions 00:21:00 - Learning Python with ChatGPT to Analyze Eval Results 00:31:00 - VS Code, Custom Tools, and an Eval Investigation Notebook 00:39:45 - Building a Custom Annotation Tool with Claude 00:41:00 - From Personal Project to Production App 00:46:02 - How Should PMs and Engineers Collaborate on AI Products? 00:55:45 - Q&A: Capturing Feedback and Annotations from End Users 00:58:11 - Q&A: Is a Technical Background Necessary to Build AI? 01:02:28 - Q&A: What's Next for Teresa? 01:03:13 - Q&A: Unpacking the Micro-Decisions of Building an AI App

I'm often asked for the best public example of AI evals done right for a real, production product. I finally have an answer. Teresa Torres shares how she shipped an AI interview coach, and used evals to rapidly squash bugs and improve the product. Teresa shows how she: 1. did error analysis FIRST to find real issues (instead of using generic metrics) 😍 2. used Jupyter notebooks to analyze errors 3. built custom annotation tools + custom widgets in notebooks 4. built a LLM-judge and assertions to test for specific errors 5. iterated through this feedback loop until it worked. 6. kept things simple the whole time It's also probably the best commercial for Jupyter notebooks you can imagine. 🥰 Chapter summary below. Link to YT in next thread 00:00:00 - Intro 00:01:45 - The Product: Building an AI Interview Coach 00:06:34 - The Problem: How Do I Know if My AI Coach is Any Good? 00:10:15 - Using Airtable for Traces and Annotation 00:12:15 - Discovering Jupyter Notebooks and Designing the First Evals 00:15:15 - Example Evals: LLM-as-Judge vs. Code-Based Assertions 00:21:00 - Learning Python with ChatGPT to Analyze Eval Results 00:31:00 - VS Code, Custom Tools, and an Eval Investigation Notebook 00:39:45 - Building a Custom Annotation Tool with Claude 00:41:00 - From Personal Project to Production App 00:46:02 - How Should PMs and Engineers Collaborate on AI Products? 00:55:45 - Q&A: Capturing Feedback and Annotations from End Users 00:58:11 - Q&A: Is a Technical Background Necessary to Build AI? 01:02:28 - Q&A: What's Next for Teresa? 01:03:13 - Q&A: Unpacking the Micro-Decisions of Building an AI App

Hamel Husain

51,376 次观看 • 11 个月前

I have made the video I wish I could have watched when I was curious to learn about dspy. I think this video would have gotten me over my fear of learning dspy much faster. Timestamps / Outline: 00:00 Ditch Prompt Engineering for Signatures and Automatic Prompt Optimization 00:30 Introduction to DSPy 1:55 How to Call LLMs from Python, the Simple Way 2:14 Declare Your First AI Program (in 1 LOC) 4:19 Setting Up Your Large Language Model Backend 8:05 Program 2: Processing Images 11:09 Deeper Dive into Signatures 15:56 Program 3: Processing Entities from Paragraphs 21:14 Fetching text from wikipedia with Attachments 22:34 Setting Up a DataFrame 24:17 Apply Gemini Flash lite to each paragraph 24:57 Creating a Synthetic Gold Set 26:30 Quick Baseline Evaluation 27:06 Creating DSPy Examples 27:50 Evaluation Metric 28:05 Prompt Optimization with DSPy 31:05 Final Evaluation

I have made the video I wish I could have watched when I was curious to learn about dspy. I think this video would have gotten me over my fear of learning dspy much faster. Timestamps / Outline: 00:00 Ditch Prompt Engineering for Signatures and Automatic Prompt Optimization 00:30 Introduction to DSPy 1:55 How to Call LLMs from Python, the Simple Way 2:14 Declare Your First AI Program (in 1 LOC) 4:19 Setting Up Your Large Language Model Backend 8:05 Program 2: Processing Images 11:09 Deeper Dive into Signatures 15:56 Program 3: Processing Entities from Paragraphs 21:14 Fetching text from wikipedia with Attachments 22:34 Setting Up a DataFrame 24:17 Apply Gemini Flash lite to each paragraph 24:57 Creating a Synthetic Gold Set 26:30 Quick Baseline Evaluation 27:06 Creating DSPy Examples 27:50 Evaluation Metric 28:05 Prompt Optimization with DSPy 31:05 Final Evaluation

Maxime Rivest 🧙‍♂️🦙

19,181 次观看 • 1 年前