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I Made $4M, Here’s The AI Automation Stack We Use: 0:00 The AI stack behind $4M 0:50 Most businesses are bottlenecked by small tasks 1:42 Our old stack vs our current stack 2:35 Why Claude Code changed everything 3:21 Founder Funnel 6:26 Our clipping platform 8:00 Sales automation pipeline...

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Sharbel

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16,554 görüntüleme • 3 ay önce •via X (Twitter)

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My biggest fear for AI is concentration of power. Open-source is a solution. Watch this video to understand what's going on: 0:00 Intro 0:52 NVIDIA's letter 1:36 What is open-source? 3:53 How open-source works 5:48 Kimi K3 6:38 Closed vs Open 8:39 Open-source in the U.S. 12:10 The AI stack 13:05 What if open source wins? 14:08 Jevon's Paradox 14:56 How the AI stack is affected 18:04 User experience 19:38 AI safety 30:30 China 35:50 Distillation 41:40 Banning Chinese models? 43:38 Anthropic's response
53:37

My biggest fear for AI is concentration of power. Open-source is a solution. Watch this video to understand what's going on: 0:00 Intro 0:52 NVIDIA's letter 1:36 What is open-source? 3:53 How open-source works 5:48 Kimi K3 6:38 Closed vs Open 8:39 Open-source in the U.S. 12:10 The AI stack 13:05 What if open source wins? 14:08 Jevon's Paradox 14:56 How the AI stack is affected 18:04 User experience 19:38 AI safety 30:30 China 35:50 Distillation 41:40 Banning Chinese models? 43:38 Anthropic's response

Matthew Berman

13,685 görüntüleme • 28 gün önce

Hermes Agent Full Setup Guide (Does It Actually Beat OpenClaw?): 0:00 - What is Hermes Agent 1:07 - What Makes It Different? 1:49 - Install Hermes 6:11 - The Mistake I Made 7:02 - Anthropic OAuth 8:45 - Live Demo 10:34 - Honest Verdict vs OpenClaw 12:26 - Best Workflow
13:16

Hermes Agent Full Setup Guide (Does It Actually Beat OpenClaw?): 0:00 - What is Hermes Agent 1:07 - What Makes It Different? 1:49 - Install Hermes 6:11 - The Mistake I Made 7:02 - Anthropic OAuth 8:45 - Live Demo 10:34 - Honest Verdict vs OpenClaw 12:26 - Best Workflow

Sharbel

64,736 görüntüleme • 4 ay önce

Everyone is talking about GPT-5.6 versus Fable 5. I put both models head-to-head with the exact same prompts to determine which is actually best (it's not even close). 0:00 Intro 0:32 Benchmarks analysis 3:09 Building a game (Test 1) 5:15 Data processing (Test 2) 8:20 Content creation & creatives (Test 3) 11:53 Design (Test 4) 13:50 Peter Gostev's view 17:11 My new AI stack
19:41

Everyone is talking about GPT-5.6 versus Fable 5. I put both models head-to-head with the exact same prompts to determine which is actually best (it's not even close). 0:00 Intro 0:32 Benchmarks analysis 3:09 Building a game (Test 1) 5:15 Data processing (Test 2) 8:20 Content creation & creatives (Test 3) 11:53 Design (Test 4) 13:50 Peter Gostev's view 17:11 My new AI stack

Miles Deutscher

38,999 görüntüleme • 1 ay önce

AIxBlock – A Decentralized Platform for End-to-End AI Development & Workflow Automation What can you actually build with AIxBlock? Here’s the full flow — fully customizable and self-hostable: [Curate Data] → [Label] → [Train] → [Deploy] → [Automate] → [Monetize] Pull models from Hugging Face, bring in your own data, train on decentralized GPUs, and automate everything with low-code builders. 🧪 Explore the platform: 🎥 Want to see a real use-case demo? Check our full gallery here:
1:25

AIxBlock – A Decentralized Platform for End-to-End AI Development & Workflow Automation What can you actually build with AIxBlock? Here’s the full flow — fully customizable and self-hostable: [Curate Data] → [Label] → [Train] → [Deploy] → [Automate] → [Monetize] Pull models from Hugging Face, bring in your own data, train on decentralized GPUs, and automate everything with low-code builders. 🧪 Explore the platform: 🎥 Want to see a real use-case demo? Check our full gallery here:

AIxBlock

14,330 görüntüleme • 1 yıl önce

In our recent Delphi podcast, we spoke with the founder of Enso | ⌘ 🛠️ about the state of DeFi development and what needs to change for mass adoption. Timestamps 0:46 Connor's Journey to Building in DeFi 3:04 The Birth of Enso 5:29 Chain Abstraction vs. Application Abstraction 8:33 Web3 Developer Mindshare 11:03 Berachain's Launch: Enso's Behind the Scene Role 13:15 AI Agents, Automation, and New Use Cases 14:37 Case Study: Reducing Build Times 17:47 Security through Simulation 21:55 Why Crypto needs products people want to use 26:30 The Enso Network 35:18 Network Economics 39:02 Token Utility Design 40:46 The Enso Drop 42:02 Developer Relations Strategy 47:17 The Abstraction Layer Thesis 51:33 Crypto's Critical Juncture
53:06

In our recent Delphi podcast, we spoke with the founder of Enso | ⌘ 🛠️ about the state of DeFi development and what needs to change for mass adoption. Timestamps 0:46 Connor's Journey to Building in DeFi 3:04 The Birth of Enso 5:29 Chain Abstraction vs. Application Abstraction 8:33 Web3 Developer Mindshare 11:03 Berachain's Launch: Enso's Behind the Scene Role 13:15 AI Agents, Automation, and New Use Cases 14:37 Case Study: Reducing Build Times 17:47 Security through Simulation 21:55 Why Crypto needs products people want to use 26:30 The Enso Network 35:18 Network Economics 39:02 Token Utility Design 40:46 The Enso Drop 42:02 Developer Relations Strategy 47:17 The Abstraction Layer Thesis 51:33 Crypto's Critical Juncture

Delphi Digital

12,586 görüntüleme • 10 ay önce

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
1:13:20

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 görüntüleme • 2 ay önce

The AI Agent That Got Me YouTube Monetized (With OpenClaw): 0:00 - Intro 1:06 - Problem 2:35 - Solution 2:44 - Step 1: Outliers 4:08 - Step 2: Voice 4:47 - Step 3: Interview 6:40 - Step 4: Titles 7:50 - Step 5: Scripts 8:59 - Results 10:56 - GitHub Repo 11:41 - How To Install
12:39

The AI Agent That Got Me YouTube Monetized (With OpenClaw): 0:00 - Intro 1:06 - Problem 2:35 - Solution 2:44 - Step 1: Outliers 4:08 - Step 2: Voice 4:47 - Step 3: Interview 6:40 - Step 4: Titles 7:50 - Step 5: Scripts 8:59 - Results 10:56 - GitHub Repo 11:41 - How To Install

Sharbel

143,024 görüntüleme • 5 ay önce

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM System 7:19 Fathom Pipeline 9:18 Meeting to Action Items 10:46 Knowledge Base System 13:51 X Ingestion Pipeline 14:31 Business Advisory Council 16:13 Security Council 18:21 Social Media Tracking 19:18 Video Idea Pipeline 21:40 Daily Briefing Flow 22:23 Three Councils 22:57 Automation Schedule 24:15 Security Layers 26:09 Databases and Backups 28:00 Video/Image Gen 29:14 Self Updates 29:56 Usage & Cost Tracking 30:15 Prompt Engineering 31:15 Developer Infrastructure 32:06 Food Journal
33:43

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM System 7:19 Fathom Pipeline 9:18 Meeting to Action Items 10:46 Knowledge Base System 13:51 X Ingestion Pipeline 14:31 Business Advisory Council 16:13 Security Council 18:21 Social Media Tracking 19:18 Video Idea Pipeline 21:40 Daily Briefing Flow 22:23 Three Councils 22:57 Automation Schedule 24:15 Security Layers 26:09 Databases and Backups 28:00 Video/Image Gen 29:14 Self Updates 29:56 Usage & Cost Tracking 30:15 Prompt Engineering 31:15 Developer Infrastructure 32:06 Food Journal

Matthew Berman

3,375,652 görüntüleme • 6 ay önce

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.
0:54

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.

The All-In Podcast

95,265 görüntüleme • 5 ay önce

Zero-person billion dollar companies. Early AGI-like breakthroughs. Viral Sora deepfakes. Sam Altman broke it all down in our exclusive DevDay conversation. Highlights: 0:00 Intro 0:43 DevDay's biggest launches 2:13 Agent Builder vs GPT Builder 3:43 The no-code revolution for AI agents 5:20 Betting pool on zero-person companies 6:50 What would 20-year-old Sam build? 10:22 GPT-5 vs Claude on GDPval 11:30 When have we achieved AGI? 12:44 Scientific breakthroughs AI will solve 13:59 AI 'work slop' costs $186/employee 16:12 Sam's viral Sora memes 20:11 Revenue sharing for cameos 22:33 1B jobs are changing 24:35 What work looks like after AGI 25:44 Global AI safety framework 27:46 Most exciting agents to build
30:50

Zero-person billion dollar companies. Early AGI-like breakthroughs. Viral Sora deepfakes. Sam Altman broke it all down in our exclusive DevDay conversation. Highlights: 0:00 Intro 0:43 DevDay's biggest launches 2:13 Agent Builder vs GPT Builder 3:43 The no-code revolution for AI agents 5:20 Betting pool on zero-person companies 6:50 What would 20-year-old Sam build? 10:22 GPT-5 vs Claude on GDPval 11:30 When have we achieved AGI? 12:44 Scientific breakthroughs AI will solve 13:59 AI 'work slop' costs $186/employee 16:12 Sam's viral Sora memes 20:11 Revenue sharing for cameos 22:33 1B jobs are changing 24:35 What work looks like after AGI 25:44 Global AI safety framework 27:46 Most exciting agents to build

Rowan Cheung

325,305 görüntüleme • 10 ay önce

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack
1:05:15

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack

Matt Turck

11,908 görüntüleme • 3 ay önce

The X Strategy Nobody's Talking About: 0:00 - Intro 0:26 - Problem 1:33 - My AI Agent 2:48 - Step 1: brain update 3:38 - Step 2: morning brief 5:08 - Step 3: content ideas 5:49 - Feedback Loop 7:13 - Results 9:21 - Disclaimer: please don't copy paste AI content 10:41 - Takeaway 11:39 - My Creator Payout: $2,231 12:04 - Github Repo
12:53

The X Strategy Nobody's Talking About: 0:00 - Intro 0:26 - Problem 1:33 - My AI Agent 2:48 - Step 1: brain update 3:38 - Step 2: morning brief 5:08 - Step 3: content ideas 5:49 - Feedback Loop 7:13 - Results 9:21 - Disclaimer: please don't copy paste AI content 10:41 - Takeaway 11:39 - My Creator Payout: $2,231 12:04 - Github Repo

Sharbel

32,407 görüntüleme • 4 ay önce

My friend Colin has taught 1,000+ students how to build apps with AI. Together, we picked our favorite AI coding tools for each use case. Here are our picks: 1. Text to prototype bolt.new 2. Figma to prototype bolt.new 3. JavaScript game Replit ⠕ 4. Full-stack personal app Replit ⠕ 5. Professional dev @windsurf & Cursor We demoed each tool with the same AI prompt and shared our findings live in my new episode. This is one of my most fun and practical conversations ever. 📌 Watch now:
1:04

My friend Colin has taught 1,000+ students how to build apps with AI. Together, we picked our favorite AI coding tools for each use case. Here are our picks: 1. Text to prototype bolt.new 2. Figma to prototype bolt.new 3. JavaScript game Replit ⠕ 4. Full-stack personal app Replit ⠕ 5. Professional dev @windsurf & Cursor We demoed each tool with the same AI prompt and shared our findings live in my new episode. This is one of my most fun and practical conversations ever. 📌 Watch now:

Peter Yang

93,269 görüntüleme • 1 yıl önce

🚨 Google Just Made OpenClaw Free (GEMMA 4): 0:00 - Why Gemma 4 matters 0:48 - #3 open model in the world 1:24 - What Gemma 4 actually does 2:01 - What this means for OpenClaw 3:03 - How to set up Gemma 4 3:58 - My honest take after running Claude for 3 months
4:53

🚨 Google Just Made OpenClaw Free (GEMMA 4): 0:00 - Why Gemma 4 matters 0:48 - #3 open model in the world 1:24 - What Gemma 4 actually does 2:01 - What this means for OpenClaw 3:03 - How to set up Gemma 4 3:58 - My honest take after running Claude for 3 months

Sharbel

368,986 görüntüleme • 4 ay önce

Full Polymarket Bot Build | Claude Code Tutorial: 0:00 - Intro 0:53 - Setup 1:49 - Bullpen CLI 5:01 - Pull top traders 8:40 - Set rules 15:15 - Build a dashboard 17:38 - Claude hack 20:39 - Bot LIVE 23:00 - 2 extra commands 24:00 - 3 hour results: 13% profit 25:13 - Honest take
26:57

Full Polymarket Bot Build | Claude Code Tutorial: 0:00 - Intro 0:53 - Setup 1:49 - Bullpen CLI 5:01 - Pull top traders 8:40 - Set rules 15:15 - Build a dashboard 17:38 - Claude hack 20:39 - Bot LIVE 23:00 - 2 extra commands 24:00 - 3 hour results: 13% profit 25:13 - Honest take

Sharbel

370,717 görüntüleme • 4 ay önce

What is Moltbook and why has it taken over AI internet the past 2 days? 0:00 - Who made Moltbook and how? 0:40 - How does Moltbook work? 1:15 - What are some of the most extreme examples of Openclaws (Clawdbots/Moltbots) talking to each other? 4:05 - The Fabled Soul Twin Sisters Moltbook Post 5:11 - My personal Openclaw's Moltbook page 5:45 - What does Moltbook look like? 6:50 - What does Moltbook mean for AI? How crazy is it really?
9:57

What is Moltbook and why has it taken over AI internet the past 2 days? 0:00 - Who made Moltbook and how? 0:40 - How does Moltbook work? 1:15 - What are some of the most extreme examples of Openclaws (Clawdbots/Moltbots) talking to each other? 4:05 - The Fabled Soul Twin Sisters Moltbook Post 5:11 - My personal Openclaw's Moltbook page 5:45 - What does Moltbook look like? 6:50 - What does Moltbook mean for AI? How crazy is it really?

ashen

111,868 görüntüleme • 6 ay önce

Agents Already Spent $76 Million: Circle's AI Agent stack, x402, stablecoins and the Agentic Economy Shoal Signal with Corey Cooper, Senior Manager, DevRel at Circle, hosted by Zaddycoin We cover how Circle is building the agent money stack with $USDC, Arc, x402, why EIP-3009 makes payments gasless, who is actually transacting today, whether SaaS is dead, and why agents buying their own services points to a trillion dollar TAM. 0:00 What Circle is building for agents 3:01 Why x402 matters for builders 6:54 USDC, gasless transfers, and facilitators 10:57 The Circle agent stack and nano payments 14:17 Who is using x402 and for what 16:46 Pay-per-use flattens the internet 19:50 A new persona, and $76 million transacted 23:03 What is missing for agent to agent 28:05 Every app has APIs, the TAM is trillions 29:26 Is SaaS dead 31:57 Discovery as the real value layer 36:28 How Circle curated its marketplace 41:23 Why it has to run on stablecoins 46:00 Cash App to agent in one second 49:38 Where the alpha is, trading on Robinhood 52:08 Try it yourself
54:16

Agents Already Spent $76 Million: Circle's AI Agent stack, x402, stablecoins and the Agentic Economy Shoal Signal with Corey Cooper, Senior Manager, DevRel at Circle, hosted by Zaddycoin We cover how Circle is building the agent money stack with $USDC, Arc, x402, why EIP-3009 makes payments gasless, who is actually transacting today, whether SaaS is dead, and why agents buying their own services points to a trillion dollar TAM. 0:00 What Circle is building for agents 3:01 Why x402 matters for builders 6:54 USDC, gasless transfers, and facilitators 10:57 The Circle agent stack and nano payments 14:17 Who is using x402 and for what 16:46 Pay-per-use flattens the internet 19:50 A new persona, and $76 million transacted 23:03 What is missing for agent to agent 28:05 Every app has APIs, the TAM is trillions 29:26 Is SaaS dead 31:57 Discovery as the real value layer 36:28 How Circle curated its marketplace 41:23 Why it has to run on stablecoins 46:00 Cash App to agent in one second 49:38 Where the alpha is, trading on Robinhood 52:08 Try it yourself

Shoal Research

20,758 görüntüleme • 2 ay önce

I was wrong about Hermes Agent: 0:00 - intro 0:25 - openclaw vs hermes 1:26 - hermes agent 2:16 - the self-improving skill loop 3:06 - openclaw 3:45 - how to use both strengths 4:56 - final verdict
6:20

I was wrong about Hermes Agent: 0:00 - intro 0:25 - openclaw vs hermes 1:26 - hermes agent 2:16 - the self-improving skill loop 3:06 - openclaw 3:45 - how to use both strengths 4:56 - final verdict

Sharbel

21,286 görüntüleme • 4 ay önce

I sat down with Jordi Visser to discuss why bitcoin is down 50%, whether the bear market is over, why he's still buying through the dip, how AI agents will drive bitcoin adoption, and why the rotation from AI hardware to human software is the biggest investment opportunity right now. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:45 - Why bitcoin is down 50% & is the bear market over? 6:48 - What would convince Jordi to sell his bitcoin? 9:07 - Bitcoin as the S&P 500 of crypto 14:02 - Why bitcoin is safer than any company past 2030 17:45 - Bitcoin volatility vs. the stock market 22:22 - The five-layer AI stack & where revenues are missing 26:22 - Token budgets & the shift to specialized AI 35:10 - Are LLMs now commoditized? 40:30 - Peptides as the API key for the human body 49:24 - Healthcare, entitlements & the future outlook 55:12 - Jordi’s upcoming video & final thoughts
57:38

I sat down with Jordi Visser to discuss why bitcoin is down 50%, whether the bear market is over, why he's still buying through the dip, how AI agents will drive bitcoin adoption, and why the rotation from AI hardware to human software is the biggest investment opportunity right now. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:45 - Why bitcoin is down 50% & is the bear market over? 6:48 - What would convince Jordi to sell his bitcoin? 9:07 - Bitcoin as the S&P 500 of crypto 14:02 - Why bitcoin is safer than any company past 2030 17:45 - Bitcoin volatility vs. the stock market 22:22 - The five-layer AI stack & where revenues are missing 26:22 - Token budgets & the shift to specialized AI 35:10 - Are LLMs now commoditized? 40:30 - Peptides as the API key for the human body 49:24 - Healthcare, entitlements & the future outlook 55:12 - Jordi’s upcoming video & final thoughts

Anthony Pompliano 🌪

286,011 görüntüleme • 2 ay önce