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This guy literally broke down how to use Claude Code like an expert: 1:40 - Code vs Cowork vs OpenClaw 6:51 - Setting up context status line 12:03 - Sub-agents 17:49 - Creating skills 23:58 - Ask user questions tool 33:33 - Tool-powered skills: Tavily 36:57 - CLI vs... show more

Aakash Gupta

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1,155,627 views • 3 months ago •via X (Twitter)

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This guy literally broke down everything you need to master Claude: 6:07 - Why to Stop Using Chat 9:56 - Cowork vs Code vs Dispatch 18:44 - Skills and MCP Connectors 25:03 - The Skills Marketplace 29:06 - Strategy Canvas Demo 35:14 - Skill Iteration Cycle 40:46 - Why You Need Code 44:43 - Building a Second Brain 56:00 - Self-Improving Knowledge 1:10:00 - Dispatch and Remote Work 1:21:07 - Top Mistakes and Future

This guy literally broke down everything you need to master Claude: 6:07 - Why to Stop Using Chat 9:56 - Cowork vs Code vs Dispatch 18:44 - Skills and MCP Connectors 25:03 - The Skills Marketplace 29:06 - Strategy Canvas Demo 35:14 - Skill Iteration Cycle 40:46 - Why You Need Code 44:43 - Building a Second Brain 56:00 - Self-Improving Knowledge 1:10:00 - Dispatch and Remote Work 1:21:07 - Top Mistakes and Future

Aakash Gupta

259,418 views • 2 months ago

I got Meng To to break down how to create AI designs with Codex that aren't slop: 0:00 - The line that scares everyone 2:44 - Why Meng dropped Cursor 4:05 - Codex setup + the AI browser 8:43 - His real project folders 13:27 - AI avatars + the UGC shift 15:49 - Plugins vs skills vs computer use 24:04 - The folder system for agents 30:57 - When to give AI full access 32:55 - Slides from your real data 42:00 - The screenshot shortcut 47:31 - The senior designer taste skill 54:58 - Building your digital twin 1:05:30 - Who's surviving the layoffs 1:12:39 - Meng's endgame advice

I got Meng To to break down how to create AI designs with Codex that aren't slop: 0:00 - The line that scares everyone 2:44 - Why Meng dropped Cursor 4:05 - Codex setup + the AI browser 8:43 - His real project folders 13:27 - AI avatars + the UGC shift 15:49 - Plugins vs skills vs computer use 24:04 - The folder system for agents 30:57 - When to give AI full access 32:55 - Slides from your real data 42:00 - The screenshot shortcut 47:31 - The senior designer taste skill 54:58 - Building your digital twin 1:05:30 - Who's surviving the layoffs 1:12:39 - Meng's endgame advice

Aakash Gupta

155,039 views • 10 days ago

2026 is the year of Agents OpenClaw, Claude Code, Codex and Cursor... In this video, I broke it all down with Micky. Consider this a 2026, year in review for AI agents. 00:00 Intro 01:35 Q1 Belonged to Anthropic 03:02 Opus 4.5 Inflection 08:42 Codex vs Claude UX War 12:53 Cursor was first? 14:27 SpaceX Acquisition Deal with Cursor 21:45 OpenClaw and the Agentic Personal Computer 28:57 Reactive vs Proactive Work 30:30 Keep Agents Narrow 33:12 Memory Layer Matters 36:23 Computer Use will get FAST 39:28 Who Wins the Super App? (Codex so far) 41:06 The Problem With Google... 45:17 Prompting and Skills creation 51:30 Codex Skill Example 56:56 Integrations Beat Prompts 59:39 All the Muxes (CMUX, TMUX) 01:02:04 Bold Predictions 01:06:38 Agent Commerce

2026 is the year of Agents OpenClaw, Claude Code, Codex and Cursor... In this video, I broke it all down with Micky. Consider this a 2026, year in review for AI agents. 00:00 Intro 01:35 Q1 Belonged to Anthropic 03:02 Opus 4.5 Inflection 08:42 Codex vs Claude UX War 12:53 Cursor was first? 14:27 SpaceX Acquisition Deal with Cursor 21:45 OpenClaw and the Agentic Personal Computer 28:57 Reactive vs Proactive Work 30:30 Keep Agents Narrow 33:12 Memory Layer Matters 36:23 Computer Use will get FAST 39:28 Who Wins the Super App? (Codex so far) 41:06 The Problem With Google... 45:17 Prompting and Skills creation 51:30 Codex Skill Example 56:56 Integrations Beat Prompts 59:39 All the Muxes (CMUX, TMUX) 01:02:04 Bold Predictions 01:06:38 Agent Commerce

Riley Brown

20,112 views • 2 months ago

Ventura Labs Ep. 61 - Shakeel Hussein Shakeel (Shakeel) is the core contributor to Ridges (Ridges AI | SN62) Timestamps 01:40 - Introduction 02:21 - Rapid rise 02:39 - Open miner transition 03:17 - Advice to younger self 03:56 - Typical day routine 04:33 - Product like Claude Code 05:22 - Human preferences incentives 07:32 - Next mixed benchmarks 08:49 - One product or suite 09:51 - Chutes inference dependence 11:10 - LLM performance difference 12:50 - Claude experiment results 13:19 - Competitors negative margins 14:30 - Judgment for cost/latency 15:41 - Problem scope full website 16:55 - Agent limits solve engineering 18:21 - Sandbox tools restricted 19:51 - Handcuffs boost web search 20:28 - Personal tool Claude code 20:54 - Product vs subnet challenges 22:13 - Product dev to miners 22:57 - No black box return 23:54 - R&D speed 80% benchmark 24:46 - Alpha to equity idea 32:58 - No other subnets 33:25 - Hiring from Waterloo 34:16 - Biggest challenge stability 35:38 - 100% owner structure 35:59 - Obsolete benchmark usage 36:13 - Catching revenue fast 37:33 - New jobs 10x tools 38:28 - Advice to subnet owners/miners 39:30 - Incentives distill capitalism

Ventura Labs Ep. 61 - Shakeel Hussein Shakeel (Shakeel) is the core contributor to Ridges (Ridges AI | SN62) Timestamps 01:40 - Introduction 02:21 - Rapid rise 02:39 - Open miner transition 03:17 - Advice to younger self 03:56 - Typical day routine 04:33 - Product like Claude Code 05:22 - Human preferences incentives 07:32 - Next mixed benchmarks 08:49 - One product or suite 09:51 - Chutes inference dependence 11:10 - LLM performance difference 12:50 - Claude experiment results 13:19 - Competitors negative margins 14:30 - Judgment for cost/latency 15:41 - Problem scope full website 16:55 - Agent limits solve engineering 18:21 - Sandbox tools restricted 19:51 - Handcuffs boost web search 20:28 - Personal tool Claude code 20:54 - Product vs subnet challenges 22:13 - Product dev to miners 22:57 - No black box return 23:54 - R&D speed 80% benchmark 24:46 - Alpha to equity idea 32:58 - No other subnets 33:25 - Hiring from Waterloo 34:16 - Biggest challenge stability 35:38 - 100% owner structure 35:59 - Obsolete benchmark usage 36:13 - Catching revenue fast 37:33 - New jobs 10x tools 38:28 - Advice to subnet owners/miners 39:30 - Incentives distill capitalism

Ventura Labs

24,328 views • 10 months ago

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 views • 2 months ago

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Lex Fridman

1,261,171 views • 1 year 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

Nick Fuentes on Dave Smith's Part of the Problem podcast, but just the parts where Nick is speaking. 0:01 - X Premium and Advertisements 0:49 - Crowder Debate & Trumpism 1:35 - Betrayal of No New Wars 2:38 - Base vs. GOP Regime Apologists 3:53 - Border Wall Failures 4:44 - Immigration & Lesser Evil Rhetoric 6:01 - Rhetorical Tricks & Interest Politics 7:38 - Tariffs & Governing Incompetence 9:39 - Skin in the Game 10:46 - Iran War vs. America First 12:02 - Israel Lobby & Iran Context 13:24 - Iran War Impasse 17:20 - War Economic Damage & Energy Shock 20:18 - Mass Deportations Walked Back 21:49 - Original Trump Appeal 22:46 - Squandered Generational Coalition 24:06 - Donor Class vs. Base Agenda 26:09 - 2016 Self-Funding vs. 2024 Reality 29:08 - Vance/Rubio 33:30 - Pat Buchanan and Sam Francis 35:58 - Trump 2016: Burn the Boats 37:08 - Imposing Costs on Republicans 38:58 - Public Opinion vs. Israel Policy 41:07 - Supporting Thomas Massie 43:32 - Bad Faith Influencer Arguments 45:00 - Trump's Character 47:09 - America First Conference 49:02 - Falling Out with Dan Bilzerian 51:24 - Jewish Tribalism & Nationalism 55:45 - Tucker Carlson 1:03:15 - Groypers as Moderating Force & Chud the Builder 1:07:12 - Sneako, Tates, & Clubocaust 1:09:51 - Monroe Doctrine, Venezuela, & Cuba 1:12:50 - Strategic Self-Defense vs. China/Russia 1:17:27 - Restraint & Necessary Force

Nick Fuentes on Dave Smith's Part of the Problem podcast, but just the parts where Nick is speaking. 0:01 - X Premium and Advertisements 0:49 - Crowder Debate & Trumpism 1:35 - Betrayal of No New Wars 2:38 - Base vs. GOP Regime Apologists 3:53 - Border Wall Failures 4:44 - Immigration & Lesser Evil Rhetoric 6:01 - Rhetorical Tricks & Interest Politics 7:38 - Tariffs & Governing Incompetence 9:39 - Skin in the Game 10:46 - Iran War vs. America First 12:02 - Israel Lobby & Iran Context 13:24 - Iran War Impasse 17:20 - War Economic Damage & Energy Shock 20:18 - Mass Deportations Walked Back 21:49 - Original Trump Appeal 22:46 - Squandered Generational Coalition 24:06 - Donor Class vs. Base Agenda 26:09 - 2016 Self-Funding vs. 2024 Reality 29:08 - Vance/Rubio 33:30 - Pat Buchanan and Sam Francis 35:58 - Trump 2016: Burn the Boats 37:08 - Imposing Costs on Republicans 38:58 - Public Opinion vs. Israel Policy 41:07 - Supporting Thomas Massie 43:32 - Bad Faith Influencer Arguments 45:00 - Trump's Character 47:09 - America First Conference 49:02 - Falling Out with Dan Bilzerian 51:24 - Jewish Tribalism & Nationalism 55:45 - Tucker Carlson 1:03:15 - Groypers as Moderating Force & Chud the Builder 1:07:12 - Sneako, Tates, & Clubocaust 1:09:51 - Monroe Doctrine, Venezuela, & Cuba 1:12:50 - Strategic Self-Defense vs. China/Russia 1:17:27 - Restraint & Necessary Force

🌊 Aqua Groyper

18,171 views • 2 months ago

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Start building for an agent-first world. If you have a product, you need to start offering skills for Claude, Codex, Cursor, and any other agents. Your skills should specify: • How to navigate and use your product • Best practices the agent must follow • Detailed instructions on how to accomplish things • Anti-patterns to avoid Redis is one of the most popular in-memory data stores in the world, and they just released their agent skills. It takes one second to install, and it will turn your agent into a Senior Redis Engineer: $ npx skills add redis/agent-skills In the attached video, I show you how to install it as a plugin in Claude Code and some of its benefits. This is the easiest way to "teach" models what they don't know and keep their knowledge up to date. If you ask me, skills is literally one of the most brilliant ideas that Anthropic has put out there. If you use Redis, their skill is a must-have. If you don't, this skill will show you how to build and structure yours. Here is what their skill teaches your agent: 1. Current patterns for common use cases: caching, rate limiting, session management, vector search, semantic caching, pub/sub, streams. 2. Which data structure to use and when: hashes vs. JSON vs. sorted sets vs. vector sets. 3. Anti-patterns to avoid: no KEYS in loops, no unbounded key growth, no large values that amplify every operation. 4. Production-aware defaults: connection pooling, pipelining, cluster compatibility, error handling that doesn't silently swallow failures.

Santiago

37,546 views • 4 months ago

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

14,575 views • 11 days ago

He made a 44 minute guide on Vibe Coding... w/ Claude Opus 4.5 It explains EVERY single term you need to understand to get started Vibe Coding high quality apps Whether you use Claude Code, Lovable or bolt.new This video will explain every term you need to understand to build apps... without writing a single line of code. And you can follow along for FREE using Claude Opus 4.5 (Instructions in thread👇) TERMS: 00:00 Introduction 01:18 Prompt 03:03 Front End 03:33 Backend 04:55 Context 06:06 Authentication & Database 08:15 API 10:03 Image Assets 11:43 Sound Assets 15:05 Agent 17:42 Agent Skills 20:00 Queue 22:47 Preview & Hot Reloads 23:28 Clear Context 24:56 Error 26:14 Debugging 26:29 Logs 28:58 Schema 29:28 Table 31:10 Seed Data 32:52 Environment Variables 34:44 Third Party API 35:07 Webhook 38:48 Deployment 39:43 Hosting 40:41 Domain 41:20 SaaS

He made a 44 minute guide on Vibe Coding... w/ Claude Opus 4.5 It explains EVERY single term you need to understand to get started Vibe Coding high quality apps Whether you use Claude Code, Lovable or bolt.new This video will explain every term you need to understand to build apps... without writing a single line of code. And you can follow along for FREE using Claude Opus 4.5 (Instructions in thread👇) TERMS: 00:00 Introduction 01:18 Prompt 03:03 Front End 03:33 Backend 04:55 Context 06:06 Authentication & Database 08:15 API 10:03 Image Assets 11:43 Sound Assets 15:05 Agent 17:42 Agent Skills 20:00 Queue 22:47 Preview & Hot Reloads 23:28 Clear Context 24:56 Error 26:14 Debugging 26:29 Logs 28:58 Schema 29:28 Table 31:10 Seed Data 32:52 Environment Variables 34:44 Third Party API 35:07 Webhook 38:48 Deployment 39:43 Hosting 40:41 Domain 41:20 SaaS

Chorus Marketing Agent

95,530 views • 5 months ago

E114: Walrus 🦭/acc : Decentralizing Data Storage, the perfect complement to the SUI Network George Danezis is the Chief Scientist at MystenLabs.sui , co-creator of the Sui , and one the minds behind Walrus 🦭/acc Timestamps 0:00 Intro 2:00 Partnerships: Jupiter, Bitwise, SUI & Mantle 2:46 Sleeping Habits 4:05 Who is George? 4:23 What is a Chief Scientist? 5:16 Research at Microsoft vs. Now 6:59 What is “Good Research”? 8:49 Corporate Innovation vs. Reality 10:31 Why I Love Teaching Security 11:52 Self Custody with Trezor 12:44 Teaching vs. Real-World Application 16:28 What Makes an Idea Great? 17:51 The Idea That Never Worked Out 19:50 Being Late to Ideas, Not Early 20:56 The Essence of Peer-to-Peer Networks 23:50 Why We Need Peer-to-Peer Systems? 27:51 Why Decentralization Was Hard to Realize 31:09 Bitcoin's Game-Changing Impact 33:10 ETH Aha Moment 34:46 Facebook’s Conviction in Blockchain 37:39 Scaling DIEM/LIBRA to Sui 39:20 Biggest Issue at Facebook 40:20 Why Facebook Bet on Crypto 41:40 Why I Left Facebook 45:07 Balancing Passion and Pay 46:43 What is a Blockchain Good For? 51:42 Understanding Blockchain’s Limitations 53:21 CryptoKitties 54:36 Meme Coins: Culture vs. Scam 57:02 The Role of Norms in Crypto 1:00:32 What is the Sui Network? 1:02:32 Why Do We Need The Sui Network? 1:03:34 Layer 1 vs. Layer 2 1:05:07 Why Build a Layer One? 1:09:21 Top Layer One Competitors 1:10:45 Decentralization vs. Practicality 1:14:06 Minimum Decentralization 1:16:33 Data Storage & Its Biggest Problem 1:20:05 What is Walrus Protocol? 1:22:09 Why Walrus is Possible Now 1:25:35 Why Sui Network for Data Storage? 1:27:37 Vision of Walrus Protocol 1:28:59 Building a Neutral Tech Future 1:30:44 Using Existing Blockchains 1:33:03 Future of Decentralized Production 1:35:51 Prediction For The Next 12 Months 1:39:04 Concluding Remarks

E114: Walrus 🦭/acc : Decentralizing Data Storage, the perfect complement to the SUI Network George Danezis is the Chief Scientist at MystenLabs.sui , co-creator of the Sui , and one the minds behind Walrus 🦭/acc Timestamps 0:00 Intro 2:00 Partnerships: Jupiter, Bitwise, SUI & Mantle 2:46 Sleeping Habits 4:05 Who is George? 4:23 What is a Chief Scientist? 5:16 Research at Microsoft vs. Now 6:59 What is “Good Research”? 8:49 Corporate Innovation vs. Reality 10:31 Why I Love Teaching Security 11:52 Self Custody with Trezor 12:44 Teaching vs. Real-World Application 16:28 What Makes an Idea Great? 17:51 The Idea That Never Worked Out 19:50 Being Late to Ideas, Not Early 20:56 The Essence of Peer-to-Peer Networks 23:50 Why We Need Peer-to-Peer Systems? 27:51 Why Decentralization Was Hard to Realize 31:09 Bitcoin's Game-Changing Impact 33:10 ETH Aha Moment 34:46 Facebook’s Conviction in Blockchain 37:39 Scaling DIEM/LIBRA to Sui 39:20 Biggest Issue at Facebook 40:20 Why Facebook Bet on Crypto 41:40 Why I Left Facebook 45:07 Balancing Passion and Pay 46:43 What is a Blockchain Good For? 51:42 Understanding Blockchain’s Limitations 53:21 CryptoKitties 54:36 Meme Coins: Culture vs. Scam 57:02 The Role of Norms in Crypto 1:00:32 What is the Sui Network? 1:02:32 Why Do We Need The Sui Network? 1:03:34 Layer 1 vs. Layer 2 1:05:07 Why Build a Layer One? 1:09:21 Top Layer One Competitors 1:10:45 Decentralization vs. Practicality 1:14:06 Minimum Decentralization 1:16:33 Data Storage & Its Biggest Problem 1:20:05 What is Walrus Protocol? 1:22:09 Why Walrus is Possible Now 1:25:35 Why Sui Network for Data Storage? 1:27:37 Vision of Walrus Protocol 1:28:59 Building a Neutral Tech Future 1:30:44 Using Existing Blockchains 1:33:03 Future of Decentralized Production 1:35:51 Prediction For The Next 12 Months 1:39:04 Concluding Remarks

MR SHIFT 🦁

111,082 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

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community

Lex Fridman

2,052,878 views • 5 months ago

Does NATURE hold the solution the AI Alignment problem? Emmett Shear thinks so 👇 I recently sat down with Emmett Shear to discuss his "organic", bottom-up approach to aligning superintelligence, and why he thinks the big labs will likely fail using current methods. So if you like designing Gods, this is one for you 😉 Chapters: 1:04 - Organic Alignment 9:33 - Emergent Coordination 16:01 - Techniques For Creating Alignment 23:43 - Ideal Environments 30:09 - How Much Influence To Give AI? 32:49 - The Global Market SuperOrganism 40:50 - Diff Between Coordination And Alignment 43:02 - The Win Condition For Softmax? 50:17 - How To Keep Humans In The Loop? 58:57 - Selecting And Scaling The Right Models 1:02:09 - Blowtorch Theory & Black Holes 1:04:48 - Difference between Agents And Humans 1:07:25 - Self Modification and Replication 1:14:35 - Alignment Capacity Vs Aligning With Humanity 1:18:38 - Does He Believe in God? 1:25:23 - Are We The Appendix To SuperIntelligence? 1:32:17 - Sketchiness of Human Ethics And Morality 1:36:17 - AI Consciousness 1:40:48 - His One Axiom To Rule Them All?

Does NATURE hold the solution the AI Alignment problem? Emmett Shear thinks so 👇 I recently sat down with Emmett Shear to discuss his "organic", bottom-up approach to aligning superintelligence, and why he thinks the big labs will likely fail using current methods. So if you like designing Gods, this is one for you 😉 Chapters: 1:04 - Organic Alignment 9:33 - Emergent Coordination 16:01 - Techniques For Creating Alignment 23:43 - Ideal Environments 30:09 - How Much Influence To Give AI? 32:49 - The Global Market SuperOrganism 40:50 - Diff Between Coordination And Alignment 43:02 - The Win Condition For Softmax? 50:17 - How To Keep Humans In The Loop? 58:57 - Selecting And Scaling The Right Models 1:02:09 - Blowtorch Theory & Black Holes 1:04:48 - Difference between Agents And Humans 1:07:25 - Self Modification and Replication 1:14:35 - Alignment Capacity Vs Aligning With Humanity 1:18:38 - Does He Believe in God? 1:25:23 - Are We The Appendix To SuperIntelligence? 1:32:17 - Sketchiness of Human Ethics And Morality 1:36:17 - AI Consciousness 1:40:48 - His One Axiom To Rule Them All?

Liv Boeree

15,652 views • 9 months ago

Vengo haciendo videos técnicos sobre Claude, Open Code, etc, pero se me ocurrió volver un segundo a las bases y explicar TODOS los conceptos de IA que hoy suenan por todos lados con la idea de que queden claros desde la teoría. Tampoco entro en detalles innecesarios, sino más bien te explico qué significa cada cosa y porqué es importante. No sé si hay un video más completo que este pero eso lo dejo para que lo decidas después de verlo. 00:00 - Intro 01:06 - LLM 03:36 - Token 07:11 - Vector / Embedding 10:17 - Attention 15:08 - Transformer 18:08 - Self Supervised Learning 21:29 - Parámetros 25:39 - 3 Fases de Entrenamiento 30:20 - Context Window 33:50 - System Prompt 37:34 - Temperatura 40:48 - Prompt Engineering 43:50 - Few Shot Prompting 45:15 - Chain of Thought 47:31 - Reasoning Models 49:56 - RAG 53:54 - Vector Database 55:49 - MCP 59:03 - Agentes 01:01:46 - Skills 01:04:49 - Hooks y Comandos 01:07:00 - Context Engineering 01:09:55 - Modelos Locales 01:13:06 - Quantización 01:14:23 - Destilación 01:15:49 - Multimodal 01:17:06 - Resúmen

Vengo haciendo videos técnicos sobre Claude, Open Code, etc, pero se me ocurrió volver un segundo a las bases y explicar TODOS los conceptos de IA que hoy suenan por todos lados con la idea de que queden claros desde la teoría. Tampoco entro en detalles innecesarios, sino más bien te explico qué significa cada cosa y porqué es importante. No sé si hay un video más completo que este pero eso lo dejo para que lo decidas después de verlo. 00:00 - Intro 01:06 - LLM 03:36 - Token 07:11 - Vector / Embedding 10:17 - Attention 15:08 - Transformer 18:08 - Self Supervised Learning 21:29 - Parámetros 25:39 - 3 Fases de Entrenamiento 30:20 - Context Window 33:50 - System Prompt 37:34 - Temperatura 40:48 - Prompt Engineering 43:50 - Few Shot Prompting 45:15 - Chain of Thought 47:31 - Reasoning Models 49:56 - RAG 53:54 - Vector Database 55:49 - MCP 59:03 - Agentes 01:01:46 - Skills 01:04:49 - Hooks y Comandos 01:07:00 - Context Engineering 01:09:55 - Modelos Locales 01:13:06 - Quantización 01:14:23 - Destilación 01:15:49 - Multimodal 01:17:06 - Resúmen

Gabriel - The Coder Cave

67,549 views • 3 months ago

The Codex Super-App (Full Beginners Guide) The All Purpose Interface for AI Agents Part 1: Codex Basics Install Codex, Projects, Chats, Documents, Plugins, Custom Skills, Automations Part 2: Multitasking with Codex - iOS App Designs - Build an iOS App - Landing Page - Launch Video - Investor Deck - Social Media Automation TIMESTAMPS: Part 1: Codex Basics 00:00 Intro 02:54 Downloading Codex 03:20 Overview of Codex interface 03:56 Chats, Prompting, & Built in Search 04:53 Creating Projects 07:37 Creating Spreadsheet 09:43 How Files are stored and mentioned within projects 10:42 Quick Codex Overview 12:47 Search (CMD G) and Folder Organization 14:29 Skills and Plugins 16:29 Using Calendar Plugin 18:07 Creating Automations on Codex 19:18 Learn about Plugins (Figma) 21:37 Built in Image Gen 22:37 MCP Example (Paper for Design) 24:17 Opening Chats in mini-window 25:26 Steering vs Queueing the Agent 27:35 Creating Own Skill with API's 31:34 Using YouTube Researcher Skill (That we created) 33:24 Creating Automation with your custom skill Part 2: Multitasking (More chaotic and fun) 35:27 Part 2 Multitasking: Building iOS App, Web App, Investor Deck, Launch Video, Mobile Designs, and Automated X Posts 37:54 Creating Project 38:31 Planning my 6 Projects 40:25 Mobile Design Skill 41:47 Setting up iOS App 45:08 Implementing Desings into Mobile app 46:13 Creating a landing page that collects user info 46:45 Tally for form submission (Great for lead magnets) 49:43 Organizing and Renaming Chats for multitasking 52:12 Database for Mobile App (Supabase) 53:19 Generating app icons 54:08 Launch Video (Remotion) 59:32 Remotion Video Timeline and Seeing the Video Editor 01:05:37 Editing instructions for Remotion (Gridlines) 01:07:11 Editing Web App 01:09:46 Using CLAUDE CODE Inside Codex for Design (Terminal) 01:17:20 Forking a Chat to create investor deck 01:19:09 Using Claude 4.7 Opus for Designing Deck 01:20:22 Testing Canva Export (It's good) 01:22:33 Running Mobile App on Actual Phone (Not Simulator) 01:28:58 Finishing up All Projects (Mobile App, Landing Page Launch Video) 01:31:56 Exporting Deck and making changes in Canva 01:33:13 Deploy to Vercel using the Vercel Plugin 01:33:44 Adding Song to Remotion Video 01:35:26 Setting up x Post automations (Typefully) 01:37:57 Our App is on Testflight! 01:39:58 Final Remotion Video 01:41:04 Final Thoughts, Reflections, Summary

The Codex Super-App (Full Beginners Guide) The All Purpose Interface for AI Agents Part 1: Codex Basics Install Codex, Projects, Chats, Documents, Plugins, Custom Skills, Automations Part 2: Multitasking with Codex - iOS App Designs - Build an iOS App - Landing Page - Launch Video - Investor Deck - Social Media Automation TIMESTAMPS: Part 1: Codex Basics 00:00 Intro 02:54 Downloading Codex 03:20 Overview of Codex interface 03:56 Chats, Prompting, & Built in Search 04:53 Creating Projects 07:37 Creating Spreadsheet 09:43 How Files are stored and mentioned within projects 10:42 Quick Codex Overview 12:47 Search (CMD G) and Folder Organization 14:29 Skills and Plugins 16:29 Using Calendar Plugin 18:07 Creating Automations on Codex 19:18 Learn about Plugins (Figma) 21:37 Built in Image Gen 22:37 MCP Example (Paper for Design) 24:17 Opening Chats in mini-window 25:26 Steering vs Queueing the Agent 27:35 Creating Own Skill with API's 31:34 Using YouTube Researcher Skill (That we created) 33:24 Creating Automation with your custom skill Part 2: Multitasking (More chaotic and fun) 35:27 Part 2 Multitasking: Building iOS App, Web App, Investor Deck, Launch Video, Mobile Designs, and Automated X Posts 37:54 Creating Project 38:31 Planning my 6 Projects 40:25 Mobile Design Skill 41:47 Setting up iOS App 45:08 Implementing Desings into Mobile app 46:13 Creating a landing page that collects user info 46:45 Tally for form submission (Great for lead magnets) 49:43 Organizing and Renaming Chats for multitasking 52:12 Database for Mobile App (Supabase) 53:19 Generating app icons 54:08 Launch Video (Remotion) 59:32 Remotion Video Timeline and Seeing the Video Editor 01:05:37 Editing instructions for Remotion (Gridlines) 01:07:11 Editing Web App 01:09:46 Using CLAUDE CODE Inside Codex for Design (Terminal) 01:17:20 Forking a Chat to create investor deck 01:19:09 Using Claude 4.7 Opus for Designing Deck 01:20:22 Testing Canva Export (It's good) 01:22:33 Running Mobile App on Actual Phone (Not Simulator) 01:28:58 Finishing up All Projects (Mobile App, Landing Page Launch Video) 01:31:56 Exporting Deck and making changes in Canva 01:33:13 Deploy to Vercel using the Vercel Plugin 01:33:44 Adding Song to Remotion Video 01:35:26 Setting up x Post automations (Typefully) 01:37:57 Our App is on Testflight! 01:39:58 Final Remotion Video 01:41:04 Final Thoughts, Reflections, Summary

Riley Brown

431,631 views • 3 months ago

First interview with Bryon Hargis (Bryon Hargis), cofounder & CEO of Castelion (). Timestamps: 0:26 Hypersonic missiles 3:21 Sunday morning drive in the mountains 4:24 Why being relentless is so important 6:12 Getting kicked continuously 12:41 Passion for the mission of the company 18:19 Traditional aerospace vs SpaceX 26:53 How SpaceX tests & iterates 32:12 Starting Castelion - why reputation matters 38:58 Missile field testing 45:35 Showing employees company’s financial position 52:21 Having cofounders that will let you know when you’re screwing up 55:55 Finding the right cofounders 1:04:13 Paying it forward 1:07:30 Using comedy to cope with adversity 1:10:30 Luck 1:12:37 Operating in a resource constrained environment 1:17:26 Doing business with the government 1:33:47 Focusing on one product vs branching off into multiple products 1:36:36 Production hell 1:41:49 Expect something WILL go wrong 1:43:54 Forgetting to celebrate the wins 1:45:03 Working through unknown unknowns 1:52:27 Getting stopped by endangered desert shrimp

First interview with Bryon Hargis (Bryon Hargis), cofounder & CEO of Castelion (). Timestamps: 0:26 Hypersonic missiles 3:21 Sunday morning drive in the mountains 4:24 Why being relentless is so important 6:12 Getting kicked continuously 12:41 Passion for the mission of the company 18:19 Traditional aerospace vs SpaceX 26:53 How SpaceX tests & iterates 32:12 Starting Castelion - why reputation matters 38:58 Missile field testing 45:35 Showing employees company’s financial position 52:21 Having cofounders that will let you know when you’re screwing up 55:55 Finding the right cofounders 1:04:13 Paying it forward 1:07:30 Using comedy to cope with adversity 1:10:30 Luck 1:12:37 Operating in a resource constrained environment 1:17:26 Doing business with the government 1:33:47 Focusing on one product vs branching off into multiple products 1:36:36 Production hell 1:41:49 Expect something WILL go wrong 1:43:54 Forgetting to celebrate the wins 1:45:03 Working through unknown unknowns 1:52:27 Getting stopped by endangered desert shrimp

Ti Morse

25,513 views • 9 months ago

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Matt Turck

35,253 views • 4 months ago