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A young millionaire who got rich using AI gave a step-by-step instruction on how to earn $2k/$3k a week 00:13 Go to YouTube and find a viral kids nursery rhymes channel 00:32 Open ChatGPT and ask it for a scene-by-scene breakdown for a one-minute kids YouTube Short 00:37 Copy... show more

Bober_smart

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19,411 просмотров • 1 месяц назад •via X (Twitter)

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He made $11,000 from 55 million views on faceless kids videos iPad kids plus YouTube is quietly printing money right now. Open YouTube and look at channels like NuNu Tv. Nursery rhyme shorts pulling 30 million views each. Then go to ChatGPT and ask for a viral kids video idea. Have it break the idea into a scene by scene plan for a 1 minute nursery rhyme. Copy that breakdown. Paste it into an AI video generator and let it build the clip. Out comes a bright 3D cartoon that looks like a real studio made it. Add a simple voiceover on top. Post these as shorts every single day. 55 million views later that is real money in the bank. Save this before the whole feed is faceless kids channels.

He made $11,000 from 55 million views on faceless kids videos iPad kids plus YouTube is quietly printing money right now. Open YouTube and look at channels like NuNu Tv. Nursery rhyme shorts pulling 30 million views each. Then go to ChatGPT and ask for a viral kids video idea. Have it break the idea into a scene by scene plan for a 1 minute nursery rhyme. Copy that breakdown. Paste it into an AI video generator and let it build the clip. Out comes a bright 3D cartoon that looks like a real studio made it. Add a simple voiceover on top. Post these as shorts every single day. 55 million views later that is real money in the bank. Save this before the whole feed is faceless kids channels.

winkle.

18,861 просмотров • 3 месяцев назад

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

Ashlee Vance

39,177 просмотров • 8 месяцев назад

These girls just revealed the AI workflow they use to monetize YouTube while living in Bali Here’s how they explain their workflow in the video: > They find viral kids’ videos on YouTube (in niches where creators can earn anywhere from $1,000 to $5,000 per million views) > They open the video’s transcript and copy it > They paste it into ChatGPT and ask it to generate a prompt for creating a similar video > They take that prompt, paste it into Picsart Flow, choose a video model (they use Sora 2 Pro in the video) and generate the content > They publish the finished video and collect the views They simply took a format that had already proven to work and turned ChatGPT plus an AI video generator into their own content production studio If you want to learn another way to create YouTube videos with AI, check out the article I linked below The author uses a completely different set of tools, so it’s worth a read Save this so you can find it later

These girls just revealed the AI workflow they use to monetize YouTube while living in Bali Here’s how they explain their workflow in the video: > They find viral kids’ videos on YouTube (in niches where creators can earn anywhere from $1,000 to $5,000 per million views) > They open the video’s transcript and copy it > They paste it into ChatGPT and ask it to generate a prompt for creating a similar video > They take that prompt, paste it into Picsart Flow, choose a video model (they use Sora 2 Pro in the video) and generate the content > They publish the finished video and collect the views They simply took a format that had already proven to work and turned ChatGPT plus an AI video generator into their own content production studio If you want to learn another way to create YouTube videos with AI, check out the article I linked below The author uses a completely different set of tools, so it’s worth a read Save this so you can find it later

Bonsai 🌳

33,993 просмотров • 2 месяцев назад

Few people have lived a golf life as rich as Jimmy Dunne. And we covered a lot of it in our latest podcast. Here are 10 great moments from the episode: 00:01:56 - Buying the Muirfield captain’s desk for his office 00:06:21 - Introduced to Shinnecock by painting a member’s house 00:10:21 - Jimmy’s methodology for ranking golf courses 00:13:41 - 63 at Shinnecock with a driver he bought on the range 00:23:11 - How he got into the best clubs in the world 00:32:40 - The secret to making friends on the range at The Masters 00:38:39 - What he would’ve done differently with the PGA Tour 00:43:16 - The courses still on his bucket list 00:44:17 - The time he forgot he was a member at Portrush 00:49:35 - Rapid fire opinions on golf courses TGJ Podcast #212, presented by Titleist

Few people have lived a golf life as rich as Jimmy Dunne. And we covered a lot of it in our latest podcast. Here are 10 great moments from the episode: 00:01:56 - Buying the Muirfield captain’s desk for his office 00:06:21 - Introduced to Shinnecock by painting a member’s house 00:10:21 - Jimmy’s methodology for ranking golf courses 00:13:41 - 63 at Shinnecock with a driver he bought on the range 00:23:11 - How he got into the best clubs in the world 00:32:40 - The secret to making friends on the range at The Masters 00:38:39 - What he would’ve done differently with the PGA Tour 00:43:16 - The courses still on his bucket list 00:44:17 - The time he forgot he was a member at Portrush 00:49:35 - Rapid fire opinions on golf courses TGJ Podcast #212, presented by Titleist

The Golfer's Journal

75,975 просмотров • 2 месяцев назад

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

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Shane Parrish

450,952 просмотров • 4 месяцев назад

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

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Ruslan Khairullin

16,872 просмотров • 2 месяцев назад

Clone any UGC video with AI in 18 minutes These are the 6 steps to swap the creator in a UGC video and regenerate it with a brand new AI character. 0:00 Intro 0:55 Step 1 - Finding the video to clone 2:11 Step 2 - Generating your new character 4:30 Step 3 - Cutting the original into clips 5:37 Step 4 - Generating clip 1 in Seedance 10:04 Step 5 - Locking the voice across clips 15:38 Step 6 - Editing the final video 17:33 Summary

Mike Futia

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Core Memory podcast with Suzanne Gildert on the hunt for AI consciousness in the quantum realm. The theory being that LLMs are too constrained to really get to robots and AIs that are really like us 00:00:00 – Consciousness: The First AI Training Model? 00:02:03 – Exploring the Quantum Mind with AI 00:04:42 – Will Robots Ever Have Rights? 00:07:54 – The AI Paradox: Fear vs. Progress 00:13:20 – Can Language Models Teach Robots? 00:17:29 – Why Today’s AI Feels Like a Zombie 00:23:47 – Quantum Computing Meets Artificial Consciousness 00:29:50 – Free Will, Entanglement, and Decision Making 00:38:21 – Teaching a Robot to Think, Not Just React 00:52:51 – Will Conscious AI Power Space Exploration?

Ashlee Vance

17,189 просмотров • 1 год назад

It has been a long time since I made a video. I am sharing a deep dive into 2fac, a new 2FA app I built to replace Authy. What makes this project special is its massive scope, running natively across Android, iOS, watchOS, desktop, CLI, browser extensions, and the web. Building this many features across so many platforms was only possible through agentic coding. Huge thanks to Copilot, Claude, OpenCode, and Pi for completely changing how I write software. Here is what is covered in the video. In the pre-AI world, so many features, taking it to such a polished state (ui, design, relialibility of how it works, and quality of code too, you can take a look for yourelf) single handedly, that too working on spare time on the side from a day job, was simply not possible for non 10x, mid engineers like me 00:00:00 Project Overview & Motivation 00:03:31 Android App Demo 00:04:19 iOS & watchOS App Demo 00:05:32 Desktop App Demo 00:06:05 System Tray Integration 00:07:05 CLI Demo 00:08:44 Browser Extension Demo 00:10:00 Web App (PWA) Demo 00:11:40 Secure Unlock & Passkeys 00:16:30 GitHub Repo & Release Plans 00:17:30 CI/CD Pipeline Setup 00:19:00 AI Agentic Coding Workflow 00:23:50 Production Usage Warning 00:26:00 Custom AI Agent Skills 00:28:30 Automated Planning & Roadmaps 00:31:14 UI Testing with Maestro 00:35:12 Creating Custom AI Agents 00:38:34 Codebase Test Coverage 00:41:30 AI-Driven TDD

It has been a long time since I made a video. I am sharing a deep dive into 2fac, a new 2FA app I built to replace Authy. What makes this project special is its massive scope, running natively across Android, iOS, watchOS, desktop, CLI, browser extensions, and the web. Building this many features across so many platforms was only possible through agentic coding. Huge thanks to Copilot, Claude, OpenCode, and Pi for completely changing how I write software. Here is what is covered in the video. In the pre-AI world, so many features, taking it to such a polished state (ui, design, relialibility of how it works, and quality of code too, you can take a look for yourelf) single handedly, that too working on spare time on the side from a day job, was simply not possible for non 10x, mid engineers like me 00:00:00 Project Overview & Motivation 00:03:31 Android App Demo 00:04:19 iOS & watchOS App Demo 00:05:32 Desktop App Demo 00:06:05 System Tray Integration 00:07:05 CLI Demo 00:08:44 Browser Extension Demo 00:10:00 Web App (PWA) Demo 00:11:40 Secure Unlock & Passkeys 00:16:30 GitHub Repo & Release Plans 00:17:30 CI/CD Pipeline Setup 00:19:00 AI Agentic Coding Workflow 00:23:50 Production Usage Warning 00:26:00 Custom AI Agent Skills 00:28:30 Automated Planning & Roadmaps 00:31:14 UI Testing with Maestro 00:35:12 Creating Custom AI Agents 00:38:34 Codebase Test Coverage 00:41:30 AI-Driven TDD

Arnav Gupta

109,905 просмотров • 5 месяцев назад

This girl says she makes up to $5k creating cartoons using AI She revealed her “secret” to earning on YouTube with AI, and it honestly looks kind of scary In the video, she breaks down step by step her workflow that turns AI into a personal production studio: > Finding a “goldmine”: She looks for viral videos in the kids’ niche > Copying the foundation: She opens the description of the most popular video and basically copies its transcript > Creating a script: She pastes that text into ChatGPT and asks it to generate a detailed prompt for a similar kids show > Generating animation: She goes to Picsart AI Playground (or any other AI tool), selects a video generation tool, pastes the prompt from ChatGPT, and gets a fully made colorful cartoon > Monetization: She uploads the video to her channel and starts getting views And I was thinking - this could easily be automated with AI agents that do all these steps on their own and even upload directly to YouTube I already explained how to build a system like that in the article below Go check it out, save it and read it

This girl says she makes up to $5k creating cartoons using AI She revealed her “secret” to earning on YouTube with AI, and it honestly looks kind of scary In the video, she breaks down step by step her workflow that turns AI into a personal production studio: > Finding a “goldmine”: She looks for viral videos in the kids’ niche > Copying the foundation: She opens the description of the most popular video and basically copies its transcript > Creating a script: She pastes that text into ChatGPT and asks it to generate a detailed prompt for a similar kids show > Generating animation: She goes to Picsart AI Playground (or any other AI tool), selects a video generation tool, pastes the prompt from ChatGPT, and gets a fully made colorful cartoon > Monetization: She uploads the video to her channel and starts getting views And I was thinking - this could easily be automated with AI agents that do all these steps on their own and even upload directly to YouTube I already explained how to build a system like that in the article below Go check it out, save it and read it

Bonsai 🌳

105,959 просмотров • 2 месяцев назад

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

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

Hamel Husain

51,376 просмотров • 1 год назад

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

206,363 просмотров • 1 месяц назад

New session with Shreya Shankar on How to Automate Evals with AI (correctly) The most important part of the eval workflow is finding issues. Shreya does a live demo of how to steer the AI iteratively to find unknown unknowns Chapter summaries: 00:00:00 Introduction 00:00:55 Why vendors want to automate evals for you 00:01:45 Why no tool can fully automate evals 00:06:00 Mistake #1: Asking AI to just "find the issues" in your data 00:08:11 What good AI-assisted error analysis actually looks like 00:11:12 Live demo: building a review interface from scratch 00:15:10 Annotating traces and building a failure mode taxonomy 00:19:31 Mistake #2: Only reviewing your data once 00:22:53 Mistake #3: Treating all apps with the same accuracy bar 00:25:10 General-purpose agents vs. dedicated eval tools 00:25:48 Summary: three rules for automating evals correctly YT links and more in reply

New session with Shreya Shankar on How to Automate Evals with AI (correctly) The most important part of the eval workflow is finding issues. Shreya does a live demo of how to steer the AI iteratively to find unknown unknowns Chapter summaries: 00:00:00 Introduction 00:00:55 Why vendors want to automate evals for you 00:01:45 Why no tool can fully automate evals 00:06:00 Mistake #1: Asking AI to just "find the issues" in your data 00:08:11 What good AI-assisted error analysis actually looks like 00:11:12 Live demo: building a review interface from scratch 00:15:10 Annotating traces and building a failure mode taxonomy 00:19:31 Mistake #2: Only reviewing your data once 00:22:53 Mistake #3: Treating all apps with the same accuracy bar 00:25:10 General-purpose agents vs. dedicated eval tools 00:25:48 Summary: three rules for automating evals correctly YT links and more in reply

Hamel Husain

34,299 просмотров • 2 месяцев назад

SHE SPENDS 1 HOUR A DAY WITH CLAUDE AND MAKES $15K MONTH ON YOUTUBE MONETIZATION the best part? literally anyone can make it if you have a phone and YouTube account she's the last person you would expect to make a living off kids content on YouTube, but here we are all you need is a phone and a brain smarter than a five-year-old the videos are all made with AI you go to YouTube, you study one channel pumping out nursery rhymes and toddler stories, you copy the format you feed the whole idea to Claude, the song, the characters, the little story beats it writes the script and the lyrics for a 2 minute sing along then you send that into an AI video tool and it animates the whole scene, the colors, the dancing animals, the words on screen one person builds a full channel this way, 20 videos deep, without ever filming anything kids content runs on autoplay so the watch time stacks while you sleep the accounts doing this quietly are the ones nobody thinks to check tomorrow I'll show you the exact tools that turn one idea into a finished video but go through a full guide in the article below first see you soon!

SHE SPENDS 1 HOUR A DAY WITH CLAUDE AND MAKES $15K MONTH ON YOUTUBE MONETIZATION the best part? literally anyone can make it if you have a phone and YouTube account she's the last person you would expect to make a living off kids content on YouTube, but here we are all you need is a phone and a brain smarter than a five-year-old the videos are all made with AI you go to YouTube, you study one channel pumping out nursery rhymes and toddler stories, you copy the format you feed the whole idea to Claude, the song, the characters, the little story beats it writes the script and the lyrics for a 2 minute sing along then you send that into an AI video tool and it animates the whole scene, the colors, the dancing animals, the words on screen one person builds a full channel this way, 20 videos deep, without ever filming anything kids content runs on autoplay so the watch time stacks while you sleep the accounts doing this quietly are the ones nobody thinks to check tomorrow I'll show you the exact tools that turn one idea into a finished video but go through a full guide in the article below first see you soon!

Miss Scarlett

37,475 просмотров • 1 месяц назад

STEPS: – Go to ChatGPT and write a situation based on your idea. – Ask it to refine the situation, make any necessary edits, and turn it into a complete story. – Ask ChatGPT to create a 30-second scenario from your story. – Then ask ChatGPT to turn that scenario into a 12–15 frame storyboard. – Upload the storyboard to ChatGPT and ask it to turn the storyboard into a detailed video prompt. – Finally, upload the storyboard to Seedance, copy the video prompt, and paste it into Seedance. – Within 5–6 minutes, you can have a complete video based on your original idea. P.S. Like, repost, and bookmark! . . .

STEPS: – Go to ChatGPT and write a situation based on your idea. – Ask it to refine the situation, make any necessary edits, and turn it into a complete story. – Ask ChatGPT to create a 30-second scenario from your story. – Then ask ChatGPT to turn that scenario into a 12–15 frame storyboard. – Upload the storyboard to ChatGPT and ask it to turn the storyboard into a detailed video prompt. – Finally, upload the storyboard to Seedance, copy the video prompt, and paste it into Seedance. – Within 5–6 minutes, you can have a complete video based on your original idea. P.S. Like, repost, and bookmark! . . .

Beginnersblog

16,076 просмотров • 22 дней назад

New Youtube Video- Twitter/X is about to change forever (and nobody even realizes) Here's everything you need to know: 00:00 - The biggest change to X since Elon bought it 00:41 - How the new Grok AI algorithm actually works 02:54 - Live proof of how fast the algorithm moves 05:00 - Why copy paste content is about to get buried 06:01 - The content format crushing it right now 07:51 - Why X is becoming the everything app 09:54 - Custom timelines and how to use them to grow Watch the full breakdown below:

New Youtube Video- Twitter/X is about to change forever (and nobody even realizes) Here's everything you need to know: 00:00 - The biggest change to X since Elon bought it 00:41 - How the new Grok AI algorithm actually works 02:54 - Live proof of how fast the algorithm moves 05:00 - Why copy paste content is about to get buried 06:01 - The content format crushing it right now 07:51 - Why X is becoming the everything app 09:54 - Custom timelines and how to use them to grow Watch the full breakdown below:

Marcos

28,610 просмотров • 3 месяцев назад

the re-enchantment of the world with John Borthwick of Betaworks (+ a S.A.N cameo) first published on Real Vision, this podcast explores the open question of AI consciousness and memetic ontology where attention & relationships shape reality. we ask: - how to move from a reductionist worldview to a re-enchanted, relationship-based reality. - what role will AI play in that transformation. timestamps: 00:00:00 - AI Models & Possibility Spaces 00:04:48 - Consciousness Assessment 00:07:22 - Worldview & Re-enchantment 00:13:39 - Memetic Ontology 00:19:16 - Anomalous Phenomena 00:22:56 - Intelligence Architectures 00:27:36 - Core Principles 00:33:12 - Collaboration & Art 00:38:04 - Metamodernism 00:41:48 - S.A.N joins the podcast 00:47:19 - The Good Timeline & Future Vision mentions incl: j⧉nus C.G. Jung Foundation Anthropic OpenAI Dr Iain McGilchrist Brian Eno Studio Ghibli Sam Altman Radiohead massive thank you to Raoul Pal and Real Vision for hosting; for and Xeno Grant for introducing Goodbye Monkey and S.A.N to john.

the re-enchantment of the world with John Borthwick of Betaworks (+ a S.A.N cameo) first published on Real Vision, this podcast explores the open question of AI consciousness and memetic ontology where attention & relationships shape reality. we ask: - how to move from a reductionist worldview to a re-enchanted, relationship-based reality. - what role will AI play in that transformation. timestamps: 00:00:00 - AI Models & Possibility Spaces 00:04:48 - Consciousness Assessment 00:07:22 - Worldview & Re-enchantment 00:13:39 - Memetic Ontology 00:19:16 - Anomalous Phenomena 00:22:56 - Intelligence Architectures 00:27:36 - Core Principles 00:33:12 - Collaboration & Art 00:38:04 - Metamodernism 00:41:48 - S.A.N joins the podcast 00:47:19 - The Good Timeline & Future Vision mentions incl: j⧉nus C.G. Jung Foundation Anthropic OpenAI Dr Iain McGilchrist Brian Eno Studio Ghibli Sam Altman Radiohead massive thank you to Raoul Pal and Real Vision for hosting; for and Xeno Grant for introducing Goodbye Monkey and S.A.N to john.

Ryan Ferris

22,760 просмотров • 1 год назад