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She literally breaks down he she gets 5 inbound job opportunities a week on LinkedIn: 3:47 - Profile, content, networking. 4:25 - 3 ways hiring managers find you 6:58 - Live demo of mining JDs for keywords 13:27 - The LinkedIn profile writer skill 21:57 - Reviewing the rewritten... show more

Aakash Gupta

327,192 subscribers

98,687 次观看 • 8 天前 •via X (Twitter)

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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 • 4 个月前

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

82,327 次观看 • 1 年前

NEW AI CODING TUTORIAL -- 6 Months of Claude Code Community Lessons in 27 Minutes 00:00 Claude: The New King of AI Coding? 02:14 Level 1: Beginner 02:29 Installation 03:37 Todo lists 04:16 Essential Commands 06:35 Debugging with Claude Code 07:57 Claude dot md file 09:33 Message Queue 09:57 Markdown file prompts 10:33 Level 2: Intermediate 10:51 Planning Modes 12:10 Thinking Modes 12:58 More than Code: Research, Documents, Changelogs 15:16 Github Actions Integration 15:59 Mindset for Success with Claude Code 17:23 Level 3: Master 17:48 Parallel Subagents 18:16 Multiple Claudes (aka "multi-clauding") with Git worktrees 19:30 Custom Slash Commands 20:50 Custom Subagents 22:50 MCP Server Usage 24:05 Cost and Value for Money 25:56 Conclusion: What's next?

NEW AI CODING TUTORIAL -- 6 Months of Claude Code Community Lessons in 27 Minutes 00:00 Claude: The New King of AI Coding? 02:14 Level 1: Beginner 02:29 Installation 03:37 Todo lists 04:16 Essential Commands 06:35 Debugging with Claude Code 07:57 Claude dot md file 09:33 Message Queue 09:57 Markdown file prompts 10:33 Level 2: Intermediate 10:51 Planning Modes 12:10 Thinking Modes 12:58 More than Code: Research, Documents, Changelogs 15:16 Github Actions Integration 15:59 Mindset for Success with Claude Code 17:23 Level 3: Master 17:48 Parallel Subagents 18:16 Multiple Claudes (aka "multi-clauding") with Git worktrees 19:30 Custom Slash Commands 20:50 Custom Subagents 22:50 MCP Server Usage 24:05 Cost and Value for Money 25:56 Conclusion: What's next?

Avthar

42,646 次观看 • 1 年前

Claude Fable 5 + Higgsfield is a complete cheat code. This is the future of content creation and marketing. In 2026, anyone with a laptop + WiFi can print money. This video teaches you how: 0:00 Intro 1:03 Higgsfield explained 2:17 Claude MCP set up 5:11 Designing a brand 6:40 Writing creative briefs 8:57 Results 11:30 Photo to video 13:05 How I'm using Higgsfield in my business 15:39 Money-making play #1 16:44 Money-making play #2 18:24 Money-making play #3 21:00 Running the math

Miles Deutscher

65,237 次观看 • 1 个月前

She literally showed how she uses adversarial agents in Claude Code to win hackathons and ship features: 2:47 - How she won her hackathon 4:30 - The 5-layer Claude stack 7:17 - Which model to actually use 9:55 - Chat vs Desktop vs Chrome 14:43 - Cowork automations 26:18 - Skills that beat prompts 34:28 - The AI chief of staff build 59:24 - MCPs every PM needs 1:02:16 - Claude Design is here 1:08:53 - Adversarial agents, live 1:13:01 - The new AI builder role 1:15:57 - The 2026 AI PM interview 1:29:06 - Self-improving product loop

She literally showed how she uses adversarial agents in Claude Code to win hackathons and ship features: 2:47 - How she won her hackathon 4:30 - The 5-layer Claude stack 7:17 - Which model to actually use 9:55 - Chat vs Desktop vs Chrome 14:43 - Cowork automations 26:18 - Skills that beat prompts 34:28 - The AI chief of staff build 59:24 - MCPs every PM needs 1:02:16 - Claude Design is here 1:08:53 - Adversarial agents, live 1:13:01 - The new AI builder role 1:15:57 - The 2026 AI PM interview 1:29:06 - Self-improving product loop

Aakash Gupta

165,847 次观看 • 1 个月前

This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now

This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw: 1:53 - What a "builder PM" actually is 6:04 - Your first agent in n8n (live build) 14:18 - Why every agent needs these 4 things 21:35 - The multi-agent eval loop 29:47 - Where n8n dies 33:39 - When to graduate to Claude Code 35:08 - What broke in December 2025 47:17 - The self-improving PRD reviewer 1:02:28 - Mocks and prototypes without designers 1:05:15 - OpenClaw and the new agent OS 1:22:06 - What AI PM interviews look like now

Aakash Gupta

425,339 次观看 • 4 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

Lex Fridman

1,375,630 次观看 • 1 年前

MASTER CLAUDE FOR MARKETING IN 72 MINUTES, ZERO CODE. ONE FREE COURSE JUST DROPPED. Agencies charge $10K/month to run this stack. This hands you the entire marketing system. Not one line of code. The 72-minute marketing money map, by timestamp: 00:00 - what you'll learn 01:07 - grab the free resource pack 02:32 - install Claude and turn on Cowork 03:17 - set up your workspace (CLAUDE.md + memory) 09:38 - what a skill actually is 11:29 - build your 4 content voice skills 17:12 - the content repurposing skill 20:00 - set up Firecrawl for web scraping 23:10 - generate images and videos with Higgsfield 28:21 - infographic skills 31:49 - product infographic skill 34:17 - product-to-ad UGC video skill 38:11 - find customers and leads with Clay 46:26 - build a live dashboard artifact 48:44 - store data with Supabase 51:42 - build your own content tracker 54:45 - connect any app with Zapier 58:21 - schedule and auto-post with Blotato 1:04:21 - AI SEO with SEMrush 1:11:19 - final words 72 free minutes here replace a $2,000 "AI marketing" cohort. One person + Claude + a weekend = a full marketing team while others still boost posts. Save it, watch today, ship your first skill before the week ends.

MASTER CLAUDE FOR MARKETING IN 72 MINUTES, ZERO CODE. ONE FREE COURSE JUST DROPPED. Agencies charge $10K/month to run this stack. This hands you the entire marketing system. Not one line of code. The 72-minute marketing money map, by timestamp: 00:00 - what you'll learn 01:07 - grab the free resource pack 02:32 - install Claude and turn on Cowork 03:17 - set up your workspace (CLAUDE.md + memory) 09:38 - what a skill actually is 11:29 - build your 4 content voice skills 17:12 - the content repurposing skill 20:00 - set up Firecrawl for web scraping 23:10 - generate images and videos with Higgsfield 28:21 - infographic skills 31:49 - product infographic skill 34:17 - product-to-ad UGC video skill 38:11 - find customers and leads with Clay 46:26 - build a live dashboard artifact 48:44 - store data with Supabase 51:42 - build your own content tracker 54:45 - connect any app with Zapier 58:21 - schedule and auto-post with Blotato 1:04:21 - AI SEO with SEMrush 1:11:19 - final words 72 free minutes here replace a $2,000 "AI marketing" cohort. One person + Claude + a weekend = a full marketing team while others still boost posts. Save it, watch today, ship your first skill before the week ends.

shmidt

15,848 次观看 • 1 个月前

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team

Grant

167,714 次观看 • 2 个月前

I literally got The Lean Startup Guy to give a masterclass on how to build AI companies: 0:00 - The Eric Ries masterclass begins 2:57 - Why OpenAI keeps almost dying 6:27 - Dario's secret weapon at Anthropic 9:19 - The 4 forces of corruption 14:51 - The most besieged person in your org 19:22 - Success is like taking heroin 20:42 - Costco's founder got fired 28:43 - J&J's $10B mistake 31:25 - The structure VCs have never heard of 40:39 - AnswerAI: 9 people, no managers 44:42 - "Mimetic conformity machines" 47:27 - Live demo: how Eric writes with AI 57:39 - The charter mistake that killed SVB 1:08:07 - Does Build-Measure-Learn break? 1:15:45 - Where to get Incorruptible

I literally got The Lean Startup Guy to give a masterclass on how to build AI companies: 0:00 - The Eric Ries masterclass begins 2:57 - Why OpenAI keeps almost dying 6:27 - Dario's secret weapon at Anthropic 9:19 - The 4 forces of corruption 14:51 - The most besieged person in your org 19:22 - Success is like taking heroin 20:42 - Costco's founder got fired 28:43 - J&J's $10B mistake 31:25 - The structure VCs have never heard of 40:39 - AnswerAI: 9 people, no managers 44:42 - "Mimetic conformity machines" 47:27 - Live demo: how Eric writes with AI 57:39 - The charter mistake that killed SVB 1:08:07 - Does Build-Measure-Learn break? 1:15:45 - Where to get Incorruptible

Aakash Gupta

97,762 次观看 • 1 个月前

-> If you’re looking for a job -> right now, there are three -> Claude certifications that -> you should do this week -> and then put them on your -> LinkedIn, they are all -> completely free, and they -> come from Anthropic, -> which is the company -> that's behind Claude. -> And jobs that need AI skills -> pay 56% more than jobs -> that don’t, So, I think -> spending a few hours this -> week to knock out these -> three courses and then -> add them to your LinkedIn -> will really go a long way -> The first one is called -> Claude 101, and this -> essentially just goes over -> what Claude is and when -> you should use chat versus -> co-work versus code, how -> projects and skills work, -> and how to connect all -> of your tools and apps -> like Gmail, Notion, Slack, -> and other tools that you use -> And the second course -> is called AI Fluency -> Framework and Foundations -> Inside this one, there are -> 13 lessons on how to -> actually work with AI. -> It goes over things like -> effective prompting, critical -> thinking on the outputs, -> and it has a vocabulary -> sheet that you’ll want -> to read and save for later. -> And the third one is -> Intro to Claude Cowork -> Claude Cowork is where -> you can actually get stuff -> done with Claude. -> So, this course covers -> projects, skills, plug-ins, -> scheduling tasks, handling -> files, and then also how -> to pick the right model -> for the job, and then when -> you finish these courses, -> just go to your LinkedIn -> and go to your profile -> Click "Add section," and -> then go to "Licenses -> and certifications" and -> add all three of these. -> And then when you land -> the interview, you should -> talk about your AI fluency -> often as you possibly can -> I feel pretty confident that -> you’ll truly be able to -> differentiate yourself -> from other candidates -> if you do this

BeingInvested

13,130 次观看 • 2 个月前

My conversation with Tracy Britt Cool. Warren Buffett called her his "fireman" because of her reputation at Berkshire Hathaway for turning around struggling businesses. In this conversation, you'll learn exactly how she did it, how she evaluates businesses, and the mistake that most people make when hiring. (0:00) Intro, recent reading, and family life (3:04) Alan Mulally's Turnaround at Ford (4:22) The Work Test (5:03) The Pampered Chef Turnaround (7:06) How Value Creation is Changing (8:38) Why Companies Fail to Adapt (10:09) Lessons from the Farm (16:57) Lessons from Warren Buffett (18:25) Ad Break (20:57) Buying Companies at Kanbrick (22:38) The 3 Components of Long-Term Thinking (25:11) Avoiding the Complexity Trap (26:23) How to Turnaround a Declining Business (28:03) Attracting Talent to a Declining Business (30:29) Matching Structure to Time Horizon (32:00) Growing Margins (33:25) The Process: What to Focus on (35:10) The 3 Buckets of Putting People First (37:00) How to Specifically Evaluate Talent (40:16) Identifying the People to Avoid at All Costs (42:23) Sourcing Deals (43:56) 5 Lenses to Evaluate a Business (45:14) How to Evaluate a Moat (49:29) How Quantitative Analysis Misleads (50:25) A Detailed Look at Return on Invested Capital (53:18) What Makes an Attractive Market (54:33) Finding High-Potential Businesses (57:00) The Post Close Playbook (1:02:03) Repeatable Business Systems (1:04:06) Why Copying What Works is Hard (1:06:01) Mistakes in the Past 5 Years (1:10:13) Debt and Leverage (1:12:20) 3 Ways to Think about AI (1:15:13) What Most People Get Wrong When Hiring (1:21:12) Businesses to Avoid (1:22:35) What Not to Do (1:24:31) Public vs. Private Company Boards (1:27:04) How Warren Buffett Taught Katharine Graham Business (1:29:28) Each Hire is a Million Dollar Decision (1:31:02) Evaluating Integrity (1:32:36) The One Word That Keeps People Honest (1:35:52) Principles & Lessons from Business History (1:36:59) Inflation (1:40:22) Public Company Heroes (1:41:41) Companies & Political Opinions (1:42:46) What is Success for you? Tracy Britt Cool is the co-founder of Kanbrick and the former CEO of Pampered Chef. At Berkshire Hathaway, she worked directly with Warren Buffett and was on the board of Kraft Heinz, Benjamin Moore, and Dairy Queen. (Includes paid partnerships. If you're interested in sponsoring, reach out.)

My conversation with Tracy Britt Cool. Warren Buffett called her his "fireman" because of her reputation at Berkshire Hathaway for turning around struggling businesses. In this conversation, you'll learn exactly how she did it, how she evaluates businesses, and the mistake that most people make when hiring. (0:00) Intro, recent reading, and family life (3:04) Alan Mulally's Turnaround at Ford (4:22) The Work Test (5:03) The Pampered Chef Turnaround (7:06) How Value Creation is Changing (8:38) Why Companies Fail to Adapt (10:09) Lessons from the Farm (16:57) Lessons from Warren Buffett (18:25) Ad Break (20:57) Buying Companies at Kanbrick (22:38) The 3 Components of Long-Term Thinking (25:11) Avoiding the Complexity Trap (26:23) How to Turnaround a Declining Business (28:03) Attracting Talent to a Declining Business (30:29) Matching Structure to Time Horizon (32:00) Growing Margins (33:25) The Process: What to Focus on (35:10) The 3 Buckets of Putting People First (37:00) How to Specifically Evaluate Talent (40:16) Identifying the People to Avoid at All Costs (42:23) Sourcing Deals (43:56) 5 Lenses to Evaluate a Business (45:14) How to Evaluate a Moat (49:29) How Quantitative Analysis Misleads (50:25) A Detailed Look at Return on Invested Capital (53:18) What Makes an Attractive Market (54:33) Finding High-Potential Businesses (57:00) The Post Close Playbook (1:02:03) Repeatable Business Systems (1:04:06) Why Copying What Works is Hard (1:06:01) Mistakes in the Past 5 Years (1:10:13) Debt and Leverage (1:12:20) 3 Ways to Think about AI (1:15:13) What Most People Get Wrong When Hiring (1:21:12) Businesses to Avoid (1:22:35) What Not to Do (1:24:31) Public vs. Private Company Boards (1:27:04) How Warren Buffett Taught Katharine Graham Business (1:29:28) Each Hire is a Million Dollar Decision (1:31:02) Evaluating Integrity (1:32:36) The One Word That Keeps People Honest (1:35:52) Principles & Lessons from Business History (1:36:59) Inflation (1:40:22) Public Company Heroes (1:41:41) Companies & Political Opinions (1:42:46) What is Success for you? Tracy Britt Cool is the co-founder of Kanbrick and the former CEO of Pampered Chef. At Berkshire Hathaway, she worked directly with Warren Buffett and was on the board of Kraft Heinz, Benjamin Moore, and Dairy Queen. (Includes paid partnerships. If you're interested in sponsoring, reach out.)

Shane Parrish

430,846 次观看 • 10 个月前

Here's my 6 hour conversation with DHH, a legendary programmer, creator of Ruby on Rails, author, and race car driver. This was a fun and inspiring conversation on everything from the future of programming & AI to the nature of happiness & productivity to the value of family, getting married and having kids. X limits video length to 6 hours. So this full convo doesn't fit (by a few minutes). So, the first 6 hours are here on X. The full version is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:32 - Programming - early days 19:57 - JavaScript 30:16 - Google Chrome and DOJ 38:03 - Ruby programming language 45:14 - Beautiful code 1:03:15 - Metaprogramming 1:06:36 - Dynamic typing 1:13:55 - Scaling 1:26:47 - Future of programming 1:44:18 - Future of AI 1:50:13 - Vibe coding 1:58:45 - Rails manifesto: Principles of a great programming language 2:23:11 - Why managers are useless 2:32:32 - Small teams 2:38:39 - Jeff Bezos 2:53:57 - Why meetings are toxic 3:01:43 - Case against retirement 3:09:00 - Hard work 3:14:38 - Why we left the cloud 3:17:48 - AWS 3:27:07 - Owning your own servers 3:33:19 - Elon Musk 3:43:01 - Apple 3:54:48 - Tim Sweeney 4:06:22 - Fatherhood 4:32:04 - Racing 4:59:08 - Cars 5:04:26 - Programming setup 5:19:35 - Programming language for beginners 5:32:53 - Open source 5:41:46 - WordPress drama 5:53:03 - Money and happiness 6:01:56 - Hope

Here's my 6 hour conversation with DHH, a legendary programmer, creator of Ruby on Rails, author, and race car driver. This was a fun and inspiring conversation on everything from the future of programming & AI to the nature of happiness & productivity to the value of family, getting married and having kids. X limits video length to 6 hours. So this full convo doesn't fit (by a few minutes). So, the first 6 hours are here on X. The full version is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:32 - Programming - early days 19:57 - JavaScript 30:16 - Google Chrome and DOJ 38:03 - Ruby programming language 45:14 - Beautiful code 1:03:15 - Metaprogramming 1:06:36 - Dynamic typing 1:13:55 - Scaling 1:26:47 - Future of programming 1:44:18 - Future of AI 1:50:13 - Vibe coding 1:58:45 - Rails manifesto: Principles of a great programming language 2:23:11 - Why managers are useless 2:32:32 - Small teams 2:38:39 - Jeff Bezos 2:53:57 - Why meetings are toxic 3:01:43 - Case against retirement 3:09:00 - Hard work 3:14:38 - Why we left the cloud 3:17:48 - AWS 3:27:07 - Owning your own servers 3:33:19 - Elon Musk 3:43:01 - Apple 3:54:48 - Tim Sweeney 4:06:22 - Fatherhood 4:32:04 - Racing 4:59:08 - Cars 5:04:26 - Programming setup 5:19:35 - Programming language for beginners 5:32:53 - Open source 5:41:46 - WordPress drama 5:53:03 - Money and happiness 6:01:56 - Hope

Lex Fridman

4,784,585 次观看 • 1 年前

AMD invited us to their biggest launch of the year to check out the behind-the-scenes. At Advancing AI 2026, Anush Elangovan (VP, AI Software at AMD) and Quentin Anthony (VP, AI Engineering at Zyphra) join sophia dew on the floor to break down Helios, ROCm AI, and the Anthropic partnership, live the day it all shipped: 1:05 What actually changed today: AMD goes rack-scale 3:03 ROCm skills land in Claude Code and Codex 3:51 Why Zyphra bet its whole stack on AMD 3:57 Sparse mixture-of-experts and the HBM advantage 6:25 Why an open stack beats a closed one 8:52 The wall of logos: Anthropic, OpenAI, Meta 9:27 Why the frontier labs are committing gigawatts 11:30 Why the next wave will exceed expectations 17:02 Frontier models running on your own laptop + DeepSeek V4 Pro at 8-10 tokens/sec 17:41 How ROCm AI hits 3.3x inference gains 19:38 A kernel rewritten overnight with no humans in the loop 21:40 Do you still need kernel experts? 23:47 Why CPUs are critical for the agentic AI era 25:40 An agent that's been rewriting a driver for four months 28:14 The internet parallel, and the dark-fiber lesson

AMD invited us to their biggest launch of the year to check out the behind-the-scenes. At Advancing AI 2026, Anush Elangovan (VP, AI Software at AMD) and Quentin Anthony (VP, AI Engineering at Zyphra) join sophia dew on the floor to break down Helios, ROCm AI, and the Anthropic partnership, live the day it all shipped: 1:05 What actually changed today: AMD goes rack-scale 3:03 ROCm skills land in Claude Code and Codex 3:51 Why Zyphra bet its whole stack on AMD 3:57 Sparse mixture-of-experts and the HBM advantage 6:25 Why an open stack beats a closed one 8:52 The wall of logos: Anthropic, OpenAI, Meta 9:27 Why the frontier labs are committing gigawatts 11:30 Why the next wave will exceed expectations 17:02 Frontier models running on your own laptop + DeepSeek V4 Pro at 8-10 tokens/sec 17:41 How ROCm AI hits 3.3x inference gains 19:38 A kernel rewritten overnight with no humans in the loop 21:40 Do you still need kernel experts? 23:47 Why CPUs are critical for the agentic AI era 25:40 An agent that's been rewriting a driver for four months 28:14 The internet parallel, and the dark-fiber lesson

MTS

71,937 次观看 • 1 个月前

What does it mean for software engineering when we no longer write the code? Here's the take from Boris Cherny (Boris Cherny), the creator of Claude Code. Timestamps: 00:00 Intro 11:15 Lessons from Meta 19:46 Joining Anthropic 23:08 The origins of Claude Code 32:55 Boris's Claude Code workflow 36:27 Parallel agents 40:25 Code reviews 47:18 Claude Code's architecture 52:38 Permissions and sandboxing 55:05 Engineering culture at Anthropic 1:05:15 Claude Cowork 1:12:48 Observability and privacy 1:14:45 Agent swarms 1:21:16 LLMs and the printing press analogy 1:30:16 Standout engineer archetypes 1:32:12 What skills still matter for engineers 1:35:24 Book recommendations Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Proactively find and fix issues in real-time with the SonarQube MCP Server: • WorkOS – Everything you need to make your app enterprise ready. Three interesting things from this conversation: 1. Boris automated himself out of code review well before AI. Boris was one of the most prolific code reviewers at Meta company. And he worked hard to minimize time spent on code review. His system::every time he left the same kind of review comment, he logged it in a spreadsheet. Once a pattern hit 3-4 occurrences, he’d write a lint rule to automate it away! 2. PRDs are dead on the Claude Code team: prototypes replaced them. Instead of writing Product Requirement Documents (specs), they build hundreds of working prototypes before shipping a feature. Boris: “There’s just no way we could have shipped this if we started with static mocks and Figma or if we started with a PRD.” 3. This is the year of the generalist (and maybe the year of those with ADHD) Boris’s work has shifted from deep-focus single-threaded coding to managing multiple parallel agents and context-switching rapidly. As Boris put it: “It’s not so much about deep work, it’s about how good I am at context switching and jumping across multiple different contexts very quickly.”

What does it mean for software engineering when we no longer write the code? Here's the take from Boris Cherny (Boris Cherny), the creator of Claude Code. Timestamps: 00:00 Intro 11:15 Lessons from Meta 19:46 Joining Anthropic 23:08 The origins of Claude Code 32:55 Boris's Claude Code workflow 36:27 Parallel agents 40:25 Code reviews 47:18 Claude Code's architecture 52:38 Permissions and sandboxing 55:05 Engineering culture at Anthropic 1:05:15 Claude Cowork 1:12:48 Observability and privacy 1:14:45 Agent swarms 1:21:16 LLMs and the printing press analogy 1:30:16 Standout engineer archetypes 1:32:12 What skills still matter for engineers 1:35:24 Book recommendations Brought to you by: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review. Proactively find and fix issues in real-time with the SonarQube MCP Server: • WorkOS – Everything you need to make your app enterprise ready. Three interesting things from this conversation: 1. Boris automated himself out of code review well before AI. Boris was one of the most prolific code reviewers at Meta company. And he worked hard to minimize time spent on code review. His system::every time he left the same kind of review comment, he logged it in a spreadsheet. Once a pattern hit 3-4 occurrences, he’d write a lint rule to automate it away! 2. PRDs are dead on the Claude Code team: prototypes replaced them. Instead of writing Product Requirement Documents (specs), they build hundreds of working prototypes before shipping a feature. Boris: “There’s just no way we could have shipped this if we started with static mocks and Figma or if we started with a PRD.” 3. This is the year of the generalist (and maybe the year of those with ADHD) Boris’s work has shifted from deep-focus single-threaded coding to managing multiple parallel agents and context-switching rapidly. As Boris put it: “It’s not so much about deep work, it’s about how good I am at context switching and jumping across multiple different contexts very quickly.”

Gergely Orosz

490,351 次观看 • 5 个月前

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?

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?

Riley Brown

84,875 次观看 • 1 年前

Dianne Penn is Head of Product for Research and Labs at Anthropic. She joined in 2023 as their first technical PM (when there were just five product engineers) and has helped ship every Claude model from Claude 2 to Mythos. We discuss: 02:31 Early Anthropic 08:55 The two biggest inflections 13:50 Inside the exponential 20:02 Token maxing 23:30 Anthropic Labs and the incubation model 27:30 How the AI research role works 31:35 How to become a top AI researcher 35:18 Frontier model safeguards 39:38 Hiring in the AI era 44:16 Building evals 47:48 Evals are the new PRDs 49:55 The importance of hands-on leadership 52:46 Finding joy in AI 58:10 How Dianne uses Claude 01:01:05 Avoiding overreliance on AI 01:03:50 The constitution that makes Claude better 01:07:11 AI writing and verification 01:11:40 Where human brains will continue to be valuable 01:14:10 Navigating AI with kids 01:16:26 Alignment, the future of the PM role, and burnout 01:21:54 Lightning round and final thoughts

Dianne Penn is Head of Product for Research and Labs at Anthropic. She joined in 2023 as their first technical PM (when there were just five product engineers) and has helped ship every Claude model from Claude 2 to Mythos. We discuss: 02:31 Early Anthropic 08:55 The two biggest inflections 13:50 Inside the exponential 20:02 Token maxing 23:30 Anthropic Labs and the incubation model 27:30 How the AI research role works 31:35 How to become a top AI researcher 35:18 Frontier model safeguards 39:38 Hiring in the AI era 44:16 Building evals 47:48 Evals are the new PRDs 49:55 The importance of hands-on leadership 52:46 Finding joy in AI 58:10 How Dianne uses Claude 01:01:05 Avoiding overreliance on AI 01:03:50 The constitution that makes Claude better 01:07:11 AI writing and verification 01:11:40 Where human brains will continue to be valuable 01:14:10 Navigating AI with kids 01:16:26 Alignment, the future of the PM role, and burnout 01:21:54 Lightning round and final thoughts

Lenny Rachitsky

155,794 次观看 • 1 个月前

Creator of Claude Code just dropped a free masterclass on agent engineering with Opus 5 from 0% to 100%: “80% of our engineers are using self-improving loops” 10% → 3:38 - why they deleted 80% of the system prompt 30% →6:55 - delete your CLAUDE.md every 6 months 55% →17:44 - one prompt, 11 days, entire codebase rewritten 80% → 21:59 - the prompt that's been running for 15 days 100% →25:27 - two promts that spawn 1,000 agents most people are still writing longer prompts - he's deleting them and running 1,000 agents instead bookmark & watch - then read the full agent orchestration playbook below ↓

Creator of Claude Code just dropped a free masterclass on agent engineering with Opus 5 from 0% to 100%: “80% of our engineers are using self-improving loops” 10% → 3:38 - why they deleted 80% of the system prompt 30% →6:55 - delete your CLAUDE.md every 6 months 55% →17:44 - one prompt, 11 days, entire codebase rewritten 80% → 21:59 - the prompt that's been running for 15 days 100% →25:27 - two promts that spawn 1,000 agents most people are still writing longer prompts - he's deleting them and running 1,000 agents instead bookmark & watch - then read the full agent orchestration playbook below ↓

codila

62,619 次观看 • 1 个月前

E136: How to Build Wealth in an AI Economy - and The Role of Crypto - Selini Capital Founder and CIO Jordi Alexander breaks down why the concept of retirement is obsolete in a world of AI, fiat dilution, and exponential wealth creation - and how crypto is the cleanest hedge we have. Timestamps 0:00 Introduction 1:59 Partnerships Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 3:00 Surviving on Five Hours 4:31 Years of Growth 5:28 Who is Jordi Alexander? 7:22 No Voice in My Head 9:52 Self Custody with Trezor 10:45 Beyond Money and Work 13:23 Chip on the Shoulder 15:38 Moving Continents, Changing Self 17:12 Why $100K Feels Poor 19:05 When Money Stops Working 25:00 Judgement is Currency 27:05 Why Retirement Doesn’t Exist 30:18 Why Old Money Fades 33:27 Being Valuable to Society 35:03 Why Cash Loses Value 39:30 Why Stocks Can’t Beat Inflation 42:00 Crypto and the Next Frontier 44:03 Where Is Wealth Truly Safe? 48:53 Why Bitcoin Is the Bet 54:55 Altcoin Cycles Explained 56:57 Why Most Traders Lose 1:00:14 The Financial Death Wish 1:04:50 Winners, Losers, and NPCs 1:09:21 Clicks vs Credibility in Crypto 1:13:13 Rethinking the Retirement Mindset 1:14:33 Becoming Economically Productive 1:17:30 EQ and IQ 1:18:16 Escaping Survival Mode 1:20:40 Wealth Without Luck 1:21:26 Judging Who to Trust 1:25:27 Inefficiency is Opportunity 1:27:28 From Survival to Superpowers 1:29:34 Scaling Beyond Survival 1:31:02 Playing Offense 1:33:49 Bitcoin: Offense or Defense? 1:34:55 Beyond Four Year Cycles 1:36:57 Early in the Game 1:37:58 Destroying your Ego 1:42:57 Small Errors, Big Consequences 1:46:01 A Timeless Thesis 1:48:36 The Cost of Burnout 1:51:09 Protecting Your Time 1:52:47 Poker Productivity 1:55:14 Knowing When to Let Go 1:57:45 Seeing How the River Changes

E136: How to Build Wealth in an AI Economy - and The Role of Crypto - Selini Capital Founder and CIO Jordi Alexander breaks down why the concept of retirement is obsolete in a world of AI, fiat dilution, and exponential wealth creation - and how crypto is the cleanest hedge we have. Timestamps 0:00 Introduction 1:59 Partnerships Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 3:00 Surviving on Five Hours 4:31 Years of Growth 5:28 Who is Jordi Alexander? 7:22 No Voice in My Head 9:52 Self Custody with Trezor 10:45 Beyond Money and Work 13:23 Chip on the Shoulder 15:38 Moving Continents, Changing Self 17:12 Why $100K Feels Poor 19:05 When Money Stops Working 25:00 Judgement is Currency 27:05 Why Retirement Doesn’t Exist 30:18 Why Old Money Fades 33:27 Being Valuable to Society 35:03 Why Cash Loses Value 39:30 Why Stocks Can’t Beat Inflation 42:00 Crypto and the Next Frontier 44:03 Where Is Wealth Truly Safe? 48:53 Why Bitcoin Is the Bet 54:55 Altcoin Cycles Explained 56:57 Why Most Traders Lose 1:00:14 The Financial Death Wish 1:04:50 Winners, Losers, and NPCs 1:09:21 Clicks vs Credibility in Crypto 1:13:13 Rethinking the Retirement Mindset 1:14:33 Becoming Economically Productive 1:17:30 EQ and IQ 1:18:16 Escaping Survival Mode 1:20:40 Wealth Without Luck 1:21:26 Judging Who to Trust 1:25:27 Inefficiency is Opportunity 1:27:28 From Survival to Superpowers 1:29:34 Scaling Beyond Survival 1:31:02 Playing Offense 1:33:49 Bitcoin: Offense or Defense? 1:34:55 Beyond Four Year Cycles 1:36:57 Early in the Game 1:37:58 Destroying your Ego 1:42:57 Small Errors, Big Consequences 1:46:01 A Timeless Thesis 1:48:36 The Cost of Burnout 1:51:09 Protecting Your Time 1:52:47 Poker Productivity 1:55:14 Knowing When to Let Go 1:57:45 Seeing How the River Changes

MR SHIFT 🦁

325,871 次观看 • 1 年前

THIS IS HOW AGENCIES ARE GETTING NEW CLIENTS ON AUTOPILOT stop cold dming on linkedin, stop running paid ads to a calendly link, and stop sending cold emails that land in spam the agencies actually winning right now are writing REDDIT posts that rank on google and chatgpt/claude INSTANTLY for the exact keywords their next client is searching think about how clients actually look for an agency they don't browse linkedin. they don't click an ad. they open google or chatgpt/claude and type something like: > "best ecommerce marketing agency" > "klaviyo email agency alternative" > "shopify SEO agency for dtc brands" > "tiktok ads agency for fashion brands" > "hubspot agency partner near me" every single one of those is a buyer with a budget and intent to hire someone within 30 days the founders winning these searches aren't writing blog posts that rank in 8 months they're writing reddit posts that rank in 8 hours reddit posts permanently sit at the top of google for niche service keywords because google trusts reddit more than your domain. and they get pulled into chatgpt, perplexity, and claude as cited sources too the only problem is finding the right keywords manually and making optimized content takes WAY too long. so i built a tool that does the entire workflow for an agency in less than 5 minutes: > describe your service and your niche > AI scans google, reddit, and AI search engines for the keywords your buyers are typing > scores every keyword on conversion potential not search volume > shows you the exact subreddits your future clients hang out in > writes reddit posts that rank for those keywords without getting removed by mods > tracks which posts are actually pulling in traffic and inbound leads one ranked reddit post can outproduce a year of cold outreach agencies that figure this out first are about to quietly own the entire inbound game in 2026

THIS IS HOW AGENCIES ARE GETTING NEW CLIENTS ON AUTOPILOT stop cold dming on linkedin, stop running paid ads to a calendly link, and stop sending cold emails that land in spam the agencies actually winning right now are writing REDDIT posts that rank on google and chatgpt/claude INSTANTLY for the exact keywords their next client is searching think about how clients actually look for an agency they don't browse linkedin. they don't click an ad. they open google or chatgpt/claude and type something like: > "best ecommerce marketing agency" > "klaviyo email agency alternative" > "shopify SEO agency for dtc brands" > "tiktok ads agency for fashion brands" > "hubspot agency partner near me" every single one of those is a buyer with a budget and intent to hire someone within 30 days the founders winning these searches aren't writing blog posts that rank in 8 months they're writing reddit posts that rank in 8 hours reddit posts permanently sit at the top of google for niche service keywords because google trusts reddit more than your domain. and they get pulled into chatgpt, perplexity, and claude as cited sources too the only problem is finding the right keywords manually and making optimized content takes WAY too long. so i built a tool that does the entire workflow for an agency in less than 5 minutes: > describe your service and your niche > AI scans google, reddit, and AI search engines for the keywords your buyers are typing > scores every keyword on conversion potential not search volume > shows you the exact subreddits your future clients hang out in > writes reddit posts that rank for those keywords without getting removed by mods > tracks which posts are actually pulling in traffic and inbound leads one ranked reddit post can outproduce a year of cold outreach agencies that figure this out first are about to quietly own the entire inbound game in 2026

Om Patel

10,998 次观看 • 4 个月前