AI with Kyle - Daily AI News and Updates

AI Skills 101: How to Build and Use Skills in ChatGPT

Get the free AI Skills 101 guide: https://aiwithkyle.com/mini/ai-skills?utm_source=youtube&utm_medium=organic_video&utm_campaign=mini_ai_skills&utm_content=ai_skills_101 Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: AI Skills are reusable instruction packages that teach an AI how you want a repeatable job done. Instead of explaining the same quarterly report, client update or content workflow every time, you can package the method into a Skill and let the AI load it when that job comes up. In this video I explain what Skills are, what lives inside a SKILL.md file, where Skills can live, how the AI chooses one and how to build your first Skill without coding. I also show why small, bounded Skills work better than one giant "run my whole business" Skill, plus how to turn a successful chat into a reusable process and test it properly. —— Time Stamps —— 0:00 AI Skills 101 0:36 Stop Repeating the Same Work 1:24 Why Skills Matter in ChatGPT Now 2:06 How to Use a Skill in ChatGPT 3:14 What a Skill File Looks Like 4:56 References, Assets and Scripts 5:28 How Skills Get Chosen 7:02 Where Skills Can Live 7:57 Find and Install Existing Skills 9:21 What Makes a Good First Skill 10:48 Build a Skill by Talking to AI 12:04 Turn a Working Chat into a Skill 13:12 Test and Improve Your Skill 14:18 Why Skills Matter Now 14:38 Guide and Next Steps —— Useful Resources —— OpenAI - Build Skills: https://learn.chatgpt.com/docs/build-skills OpenAI Academy - Using Skills: https://openai.com/academy/skills/ Agent Skills specification: https://agentskills.io/specification Anthropic - Equipping agents for the real world with Agent Skills: https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills

MCP 101: A Simple Beginner’s Guide - MCP vs. API vs. CLI in AI.

Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg API, MCP, CLI and computer use are four ways AI systems can connect to software. This video explains what each one is, how they differ, when each route makes sense, and how tools such as Codex and Claude Code can set up those connections for you. ----- Time Stamps ----- 0:00 MCP, API, CLI and Computer Use 1:49 Four Ways AI Connects to Software 2:42 What Is an API? 4:52 What Is MCP? 7:45 What Is a CLI? 8:36 What Is Computer Use? 9:50 API vs MCP vs CLI vs Computer Use 10:33 Let AI Set Up the Connection 12:52 Security and Permissions 13:25 Which One Should You Use? ----- Useful Resources ----- AWS - What is an API? https://aws.amazon.com/what-is/api/ MCP is just a fancy API https://read.theaimerge.com/p/mcp-is-just-a-fancy-api CLI vs. MCP vs. API for Agents https://www.mindstudio.ai/blog/cli-vs-mcp-vs-api-ai-agents

Anthropic Destroyed Millions of Books. Here’s Why.

Anthropic bought millions of physical books, cut off their bindings, scanned every page and discarded the paper originals. In this video I explain Project Panama, why old books are valuable AI training data, why the court accepted Anthropic's purchased-copy conversion as fair use, and why its separate pirated-book library led to a $1.5 billion settlement. This was not a verified campaign against priceless first editions, but the private digital library still raises serious questions about access, provenance and preservation. Join the AI with Kyle community: https://aiwithkyle.com/join Sources: Bartz v. Anthropic fair-use order https://storage.courtlistener.com/recap/gov.uscourts.cand.434709/gov.uscourts.cand.434709.231.0_4.pdf Associated Press: Anthropic's $1.5 billion settlement https://apnews.com/article/74b140444023898aeba8579b6e9f0d63 404 Media: Why AI companies are buying old books https://www.404media.co/ai-companies-are-buying-tons-of-old-books-because-theyre-free-of-ai-slop/ The Washington Post: Project Panama https://www.washingtonpost.com/technology/2026/01/27/anthropic-ai-scan-destroy-books/ NL Times: Rare-book dealers' concerns https://nltimes.nl/2026/06/25/rare-book-dealers-fear-tech-firms-destroying-obscure-editions-train-ai-models Chapters: 0:00 Anthropic Destroyed Millions of Books 2:12 Project Panama: Buy, Cut, Scan, Discard 3:56 Why AI Companies Want Old Books 6:19 Why Anthropic Destroyed the Books 8:44 What Kind of Books Were Destroyed 10:30 The Risk to Rare and Obscure Books 11:32 The New Market for Bulk Book Orders 13:06 Why People Are So Angry 13:45 Anthropic's Private Digital Library 15:07 What Should Change 16:21 Why Fahrenheit 451 Gets It Backwards

Everyone in AI Is Turning on Anthropic (Even Denny’s)

I Fired My Video Editor. This AI Pipeline Replaced Him.

Stop asking AI to edit your video in one click. It doesn't work. Ignore the hype. Instead build the pipeline that actually works. Grab the fix kit (Free Guide): https://aiwithkyle.com/mini/ai-video-editor Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg I built an AI video-editing pipeline that turns a messy livestream into a cut, checked and packaged YouTube draft. The video you're watching went through that system. I show the exact split between local tools and hosted models, why the one-click AI editor pitch is still nonsense, and how this replaced an editor who previously cost me about $1,000 a month. The practical shift is to stop treating video editing as one giant prompt. Editing is too complex for that! Instead break the task up into a number of steps: Transcribe locally with Whisper, use a capable model to create the edit decision list, make the cuts with FFmpeg, review a lightweight 720p draft, then render the approved edit in 4K and upload it privately. AI can handle the machinery; you still own the thesis, performance and final approval. —— Time Stamps —— 0:00 AI Video Editing: The Hype vs Reality 0:29 What the Pipeline Actually Does 1:58 The $1,000-a-Month Proof 2:17 Why “Edit This for Me” Still Fails 2:57 Transcript → EDL → Local Render 3:45 From Messy Livestream to Source Files 6:46 Codex Builds the Edit Decision List 7:33 FFmpeg, Remotion and Hyperframes 8:35 The QA Pass That Catches Bad Edits 9:00 Why Review Starts at 720p 9:26 4K Rendering, Uploads and Thumbnail Tests 9:43 The Human Checks You Still Need 10:54 Catching the Mistakes AI Misses 12:04 Why This Finally Works Now 13:08 Build the Pipeline, Not the Fantasy — Useful Resources —— Find everything else at https://aiwithkyle.com/

Qwen3.8 Is Here. Most People Should Ignore It.

Stop chasing every new model. Get the free Chinese AI 101 guide: https://aiwithkyle.com/mini/chinese-ai Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Alibaba has announced Qwen3.8 and says it is second only to Claude Fable 5. But the open weights aren't out yet, the ranking is still a company claim, and a frontier model this size is not going to run on your laptop. A launch post isn't a reason to rebuild your workflow. In this video I use four checks before switching: announced, available, independently proven and useful on your own work. Then I show you how to compare Qwen3.8, Kimi K3, Claude and ChatGPT on real repeated tasks, measure quality, time, cost and failures, and only move when the gain is large enough to pay for the disruption. Most people will get more done by ignoring the leaderboard and sticking with the system that already works. —— Time Stamps —— 0:00 Qwen3.8 Made My Guide Obsolete 1:39 What Alibaba Is Actually Claiming 3:17 Why Launch Posts Are Not Proof 4:00 What Open Weights Actually Means 5:11 Does Model Size Matter? 6:21 China's Open-Weight Advantage 7:04 Ignore the Model Hype Cycle 8:36 How to Test a New Model Properly 9:16 Make Your Workflows Model-Agnostic 10:28 When Switching Providers Makes Sense 10:54 The Four Tests to Run 11:34 Why Sticking With One Provider Wins — Useful Resources —— Chinese AI 101 guide: https://aiwithkyle.com/mini/chinese-ai Find everything else at https://aiwithkyle.com/

Kimi K3 Just Knocked Claude to Third Place — Chinese AI Is Here Now

Chinese AI isn't a future threat — it's already in the top three. Get the full breakdown (Free Guide): https://aiwithkyle.com/mini/chinese-ai Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Kimi K3 dropped this week and knocked Claude Opus to third place in the AI rankings. It's not the best model in the world overall, but it's within striking distance of Fable and GPT - and it costs about a third of what Claude charges on the API ($3 in / $15 out versus $10 / $50) - and China's cheaper models like GLM, DeepSeek and MiniMax run at up to 20x less. It's a deliberate strategy. Xi Jinping got on stage the same week and committed China to open-source AI. Six hundred million people in China already use AI - about half the country - adoption is growing at 142% year on year, and the gap between Chinese and American frontier models has closed from six-to-nine months to a month or two. The practical shift here is about where you spend attention and money. If you're building anything token-heavy, automations, coding agents, content pipelines etc., Chinese models deserve a serious look right now. At the same time, you need to understand the difference between cloud and local deployment, because "open source" does not mean "free on your laptop". This video gives you the full map: who's building what in China, why the pricing is a genuine existential threat to OpenAI and Anthropic's trillion-dollar valuations, and what you should actually do with any of this today. —— Time Stamps —— 0:00 Hook: Claude Just Fell to Third Place 0:29 Kimi K3 Explained: What the New Rankings Actually Look Like 1:43 The Benchmark That's Going Viral — and Why to Ignore It 3:14 20x Cheaper Than Claude: The Price Weapon China Is Using 4:09 Chinese AI Map 101: Moonshot, DeepSeek, ZAI, Qwen, ByteDance 5:04 Why Cheap AI Is Existential for OpenAI and Anthropic 6:14 Trillion-Dollar IPOs vs. a Model That Costs a Dollar Per Task 6:59 Xi Jinping's Open Source Pledge: What It Actually Means 7:39 Open Source Does Not Mean Free on Your Laptop 8:34 The Real Enterprise Threat: Local Fine-Tuned Models for Almost Nothing 9:57 Cloud vs Local: The Chinese Privacy Paradox Nobody Talks About 11:22 600M Users and a Beijing Bookshop: China's AI Reality 12:46 What to Do Now: Kimi Subscription, Local LLMs, Front-End Testing 14:16 Where to Go Next —— Useful Resources —— Find everything else at https://aiwithkyle.com/

208: Why Everyone's Using AI Like It Could Vanish (It Might)

Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Premium AI is about to get more expensive. Build one small, useful asset while it's still cheap. Grab the fix kit (Free Guide): https://aiwithkyle.com/mini/build-while-it-lasts Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Right now everyone is using AI like it's about to vanish, and honestly, it might. Anthropic just extended Fable 5 again, and within the hour OpenAI reset every Codex limit in response. In this video I break down why the whole industry is behaving like this, why the intelligence you're paying twenty, a hundred, two hundred dollars a month for is heavily subsidised, and what happens the moment that subsidy ends. I share what one billion tokens actually cost me in a single day once you take it off the subscription and put it through the API. It is not a small number. That subsidy is the whole story here, and it will not last. I walk through the idea of the permanent underclass, the K shaped economy, and why I think you have roughly six months to build something real before this gets expensive again. I show you exactly where to start if you have never built anything before, including how I personally use Fable as the planner and pass the actual work to cheaper models. No coding required. You do not need to be technical. You just need to start before the window closes. —— Time Stamps —— 0:00 OpenAI vs Anthropic: Fable 5 Extended Again 1:53 Why Anthropic Can't Afford to Pull Fable 5 3:32 The $50,000-a-Day Cost of Losing Subscription Access 4:59 The Fable Usage Frenzy & Rob's $800/Month Strategy 7:15 Rented Intelligence & the Permanent Underclass 8:30 The K-Shaped Economy Explained 10:58 How to Build Your First AI Project (No Coding Needed) 11:54 Free AI Business Resources & Monetization 12:54 Get Paid to Teach AI to Businesses 14:29 Final Thoughts: Build Before It's Too Late — Useful Resources —— Find everything else at https://aiwithkyle.com/

Avoid The Permanent UNDERCLASS: You Have 6 Months To Build With AI

Read the full issue: https://aiwithkyle.com/ai-news/openai-anthropic-are-fighting-we-got-pony Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Premium AI is about to get more expensive. Build one small, useful asset while it's still cheap. Grab the fix kit (Free Guide): https://aiwithkyle.com/mini/build-while-it-lasts Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: Right now everyone is using AI like it's about to vanish, and honestly, it might. Anthropic just extended Fable 5 again, and within the hour OpenAI reset every Codex limit in response. In this video I break down why the whole industry is behaving like this, why the intelligence you're paying twenty, a hundred, two hundred dollars a month for is heavily subsidised, and what happens the moment that subsidy ends. I share what one billion tokens actually cost me in a single day once you take it off the subscription and put it through the API. It is not a small number. That subsidy is the whole story here, and it will not last. I walk through the idea of the permanent underclass, the K shaped economy, and why I think you have roughly six months to build something real before this gets expensive again. I show you exactly where to start if you have never built anything before, including how I personally use Fable as the planner and pass the actual work to cheaper models. No coding required. You do not need to be technical. You just need to start before the window closes. —— Time Stamps —— 0:00 OpenAI vs Anthropic: Fable 5 Extended Again 1:53 Why Anthropic Can't Afford to Pull Fable 5 3:32 The $50,000-a-Day Cost of Losing Subscription Access 4:59 The Fable Usage Frenzy & Rob's $800/Month Strategy 7:15 Rented Intelligence & the Permanent Underclass 8:30 The K-Shaped Economy Explained 10:58 How to Build Your First AI Project (No Coding Needed) 11:54 Free AI Business Resources & Monetization 12:54 Get Paid to Teach AI to Businesses 14:29 Final Thoughts: Build Before It's Too Late — Useful Resources —— Find everything else at https://aiwithkyle.com/

207: ChatGPT Work vs Codex vs Chat: Which One Should You Actually Use?

Stop asking ChatGPT questions, give it a job. Grab the fix kit (Free Guide): https://aiwithkyle.com/mini/chatgpt-work Get AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: OpenAI has released ChatGPT Work, a new work mode inside ChatGPT, and in this video I cover everything you need to know. What it actually is, how ChatGPT Work compares to Codex and Chat, and which one you should actually use depending on what you do. There is plenty of confusion out there right now, three modes, a moving model picker, and power users asking what the point is. I cut through all of it and explain why this update is aimed squarely at the billion people who use ChatGPT every day, even on the free plan. The bigger shift is this: stop chatting with ChatGPT and start giving it jobs. Instead of asking questions and getting answers, you hand it a task, it spins up sub-agents, does the research, checks its own work, and delivers a finished result. The presentation in this video was built by ChatGPT Work itself in about twelve minutes, so you can see exactly what it produces. I also show you where to find the new work mode on web, mobile and desktop, and what to use it for in your daily work. —— Time Stamps —— 0:00 ChatGPT Work: OpenAI's Biggest Release This Week 0:38 What Is ChatGPT Work? Why Everyone's Confused 2:12 Where to Find the Chat vs Work Toggle 2:43 Live Demo: ChatGPT Work Builds a Full Presentation 4:22 Model Selection Differences in Chat vs Work Mode 5:05 The Three Doors: Chat, Work & Codex Explained 5:56 Why This Matters: The Agentic Age for Normal Users 6:47 What Should You Actually Use ChatGPT Work For? 7:48 The Four Big Jumps in AI (Ethan Mollick's Framework) 9:57 The Power User Dilemma: ChatGPT Work vs Codex 11:51 Claude vs OpenAI: Going in Opposite Directions 13:01 Too Many Choices: Modes, Models & Effort Levels 14:08 How to Get ChatGPT Work on Desktop, Phone & Web 16:14 How to Delegate Real Jobs to AI (Prompting Still Matters) — Useful Resources —— Find everything else at https://aiwithkyle.com/