AI with Kyle - Daily AI News and Updates

Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/joinSubscribe and turn on notifications: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgAPI, 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 Use1:49 Four Ways AI Connects to Software2:42 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 Use10:33 Let AI Set Up the Connection12:52 Security and Permissions13:25 Which One Should You Use?----- Useful Resources -----AWS - What is an API?https://aws.amazon.com/what-is/api/MCP is just a fancy APIhttps://read.theaimerge.com/p/mcp-is-just-a-fancy-apiCLI vs. MCP vs. API for Agentshttps://www.mindstudio.ai/blog/cli-vs-mcp-vs-api-ai-agents

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/joinSources:Bartz v. Anthropic fair-use orderhttps://storage.courtlistener.com/recap/gov.uscourts.cand.434709/gov.uscourts.cand.434709.231.0_4.pdfAssociated Press: Anthropic's $1.5 billion settlementhttps://apnews.com/article/74b140444023898aeba8579b6e9f0d63404 Media: Why AI companies are buying old bookshttps://www.404media.co/ai-companies-are-buying-tons-of-old-books-because-theyre-free-of-ai-slop/The Washington Post: Project Panamahttps://www.washingtonpost.com/technology/2026/01/27/anthropic-ai-scan-destroy-books/NL Times: Rare-book dealers' concernshttps://nltimes.nl/2026/06/25/rare-book-dealers-fear-tech-firms-destroying-obscure-editions-train-ai-modelsChapters:0:00 Anthropic Destroyed Millions of Books2:12 Project Panama: Buy, Cut, Scan, Discard3:56 Why AI Companies Want Old Books6:19 Why Anthropic Destroyed the Books8:44 What Kind of Books Were Destroyed10:30 The Risk to Rare and Obscure Books11:32 The New Market for Bulk Book Orders13:06 Why People Are So Angry13:45 Anthropic's Private Digital Library15:07 What Should Change16:21 Why Fahrenheit 451 Gets It Backwards

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-editorGet AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/joinSubscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgI 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 Reality0:29 What the Pipeline Actually Does1:58 The $1,000-a-Month Proof2:17 Why “Edit This for Me” Still Fails2:57 Transcript → EDL → Local Render3:45 From Messy Livestream to Source Files6:46 Codex Builds the Edit Decision List7:33 FFmpeg, Remotion and Hyperframes8:35 The QA Pass That Catches Bad Edits9:00 Why Review Starts at 720p9:26 4K Rendering, Uploads and Thumbnail Tests9:43 The Human Checks You Still Need10:54 Catching the Mistakes AI Misses12:04 Why This Finally Works Now13:08 Build the Pipeline, Not the Fantasy— Useful Resources ——Find everything else at https://aiwithkyle.com/

Stop chasing every new model. Get the free Chinese AI 101 guide: https://aiwithkyle.com/mini/chinese-aiGet AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/joinSubscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgSummary: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 Obsolete1:39 What Alibaba Is Actually Claiming3:17 Why Launch Posts Are Not Proof4:00 What Open Weights Actually Means5:11 Does Model Size Matter?6:21 China's Open-Weight Advantage7:04 Ignore the Model Hype Cycle8:36 How to Test a New Model Properly9:16 Make Your Workflows Model-Agnostic10:28 When Switching Providers Makes Sense10:54 The Four Tests to Run11:34 Why Sticking With One Provider Wins— Useful Resources ——Chinese AI 101 guide: https://aiwithkyle.com/mini/chinese-aiFind everything else at https://aiwithkyle.com/

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-aiGet AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/joinSubscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgKimi 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 Place0:29 Kimi K3 Explained: What the New Rankings Actually Look Like1:43 The Benchmark That's Going Viral — and Why to Ignore It3:14 20x Cheaper Than Claude: The Price Weapon China Is Using4:09 Chinese AI Map 101: Moonshot, DeepSeek, ZAI, Qwen, ByteDance5:04 Why Cheap AI Is Existential for OpenAI and Anthropic6:14 Trillion-Dollar IPOs vs. a Model That Costs a Dollar Per Task6:59 Xi Jinping's Open Source Pledge: What It Actually Means7:39 Open Source Does Not Mean Free on Your Laptop8:34 The Real Enterprise Threat: Local Fine-Tuned Models for Almost Nothing9:57 Cloud vs Local: The Chinese Privacy Paradox Nobody Talks About11:22 600M Users and a Beijing Bookshop: China's AI Reality12:46 What to Do Now: Kimi Subscription, Local LLMs, Front-End Testing14:16 Where to Go Next—— Useful Resources ——Find everything else at https://aiwithkyle.com/

ChatGPT Work isn't broken — you're just using the wrong mode for the job. Grab the fix kit (Free Guide): https://aiwithkyle.com/mini/chatgpt-workGet AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/joinSubscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgChatGPT just added a Work mode and the power user corner of the internet lost its mind. I think that reaction is completely misguided. ChatGPT Work isn't for people already running Claude Code or Codex every day - it's for the other billion people who've been stuck in chat mode since 2023. Using Ethan Mollick's four-stage framework, I walk through exactly where we are in the AI timeline and why agentic AI going mainstream is a bigger deal than any UI complaint.The practical shift is simple: match the modality to what you actually want out of the AI. Use Chat when you're exploring and the answer itself is the output. Use Work when you know what you want to make and need the AI to go build it. Use Codex when you're shipping software. I also show the handoff workflow - start in Chat, get the shape of the idea, then port it straight into Work using a share link. That alone unlocks a lot of value most people are leaving on the table.—— Time Stamps ——0:00 The Power User Backlash Against ChatGPT Work0:24 Why That Reaction Is Misguided: Who Work Is Actually For1:53 We Are a Very Loud Minority: The 7M vs 1 Billion Problem2:23 Ethan Mollick's Four Stages of Modern AI3:53 The Agentic Era: When AI Started Doing the Work For Us5:10 Three Doors: Chat, Work, and Code Explained6:23 When to Use Chat: The Output Is the Answer7:48 When to Use Work: You Know What You Want to Make8:48 The Handoff Workflow: Chat → Work in One Move10:02 How This Deck Was Actually Built (Live Demo)11:00 Match the Modality to the Desired Output: The Quick Rule12:32 If You've Never Used Codex, Start Here13:07 Welcome to Agentic AI: Now Available for One Billion People13:25 OpenAI vs Anthropic: The Knife Fight You Should Be Exploiting14:15 Build While It Lasts: Why Right Now Is the Best Time—— Useful Resources ——Find everything else at https://aiwithkyle.com/

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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 Again1:53 Why Anthropic Can't Afford to Pull Fable 53:32 The $50,000-a-Day Cost of Losing Subscription Access4:59 The Fable Usage Frenzy & Rob's $800/Month Strategy7:15 Rented Intelligence & the Permanent Underclass8:30 The K-Shaped Economy Explained10:58 How to Build Your First AI Project (No Coding Needed)11:54 Free AI Business Resources & Monetization12:54 Get Paid to Teach AI to Businesses14:29 Final Thoughts: Build Before It's Too Late
— Useful Resources ——
Find everything else at https://aiwithkyle.com/

Read the full issue: https://aiwithkyle.com/ai-news/openai-anthropic-are-fighting-we-got-ponyGet AI-Ready with Kyle’s 5-Day Challenge: https://aiwithkyle.com/joinPremium 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-lastsSubscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgSummary: 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 Again1:53 Why Anthropic Can't Afford to Pull Fable 53:32 The $50,000-a-Day Cost of Losing Subscription Access4:59 The Fable Usage Frenzy & Rob's $800/Month Strategy7:15 Rented Intelligence & the Permanent Underclass8:30 The K-Shaped Economy Explained10:58 How to Build Your First AI Project (No Coding Needed)11:54 Free AI Business Resources & Monetization12:54 Get Paid to Teach AI to Businesses14:29 Final Thoughts: Build Before It's Too Late— Useful Resources ——Find everything else at https://aiwithkyle.com/

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 Week0:38 What Is ChatGPT Work? Why Everyone's Confused2:12 Where to Find the Chat vs Work Toggle2:43 Live Demo: ChatGPT Work Builds a Full Presentation4:22 Model Selection Differences in Chat vs Work Mode5:05 The Three Doors: Chat, Work & Codex Explained5:56 Why This Matters: The Agentic Age for Normal Users6:47 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 Codex11:51 Claude vs OpenAI: Going in Opposite Directions13:01 Too Many Choices: Modes, Models & Effort Levels14:08 How to Get ChatGPT Work on Desktop, Phone & Web16:14 How to Delegate Real Jobs to AI (Prompting Still Matters)
— Useful Resources ——
Find everything else at https://aiwithkyle.com/