AI with Kyle

Epizody

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  How to Remove the Claude Watermark (Does It Actually Work?) 17.08.2026 21min

  A Claude watermark remover has passed 12,000 stars on GitHub—but does it actually work?I test the tool, explain how Claude’s text watermark works, show how to install the remover without being technical, and cover the crucial limitation: nobody can verify the result against Anthropic’s detector because that detector is not public yet.Sources:- Anthropic’s explanation: https://www.anthropic.com/news/claude-text-watermark- Watermark remover: https://github.com/guillaumemeyer/watermarks-remover- Interactive explainer: https://claude.ai/code/artifact/803916fd-3bc1-465f-8738-d4ece6fc5071- SynthID-Text paper: https://www.nature.com/articles/s41586-024-08025-4Chapters:00:00 Testing the Claude watermark remover01:46 What changed04:00 How Claude’s watermark works08:33 The viral remover17:24 The test nobody can runGet practical AI news without the hype: https://aiwithkyle.com
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  Claude Watermark FAQ: Answering 659 Comments 14.08.2026 22min

  My first Claude watermark video passed 28,000 views and 659 comments. This follow-up answers the biggest questions: ownership, copy/paste, Notepad, OCR, retyping, rewriting with another AI, editing your own writing, code quality, and why the EU rule has global reach.Anthropic still has not released the detector or full technical documentation, so I separate what is confirmed from what remains unknown—and look at the comments that found real weaknesses in the plan.00:00 659 comments later01:13 Anthropic doesn't own your work04:48 The watermark removal hacks09:21 Authorship vs. processing16:49 The fair concernsGet AI-ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/joinSubscribe for practical AI news without the hype: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgUseful sources:- Anthropic transparency commitments: https://www.anthropic.com/transparency- EU AI Act: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai- Google SynthID: https://deepmind.google/models/synthid/- C2PA specification: https://c2pa.org/specifications/specifications/2.2/specs/C2PA_Specification.html
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  Claude Is Hiding Watermarks in Your AI Text (What It Actually Means) 12.08.2026 19min

  Get 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/UChlLglbHDASnoGkbjDeHnQgAnthropic says new Claude models launched in the EU must support machine-readable marking. That means embedded watermarks for generated text and signed provenance metadata for supported files...but the viral claim that every Claude response is already publicly detectable is too broad. There's a lot of bad info going around.I break down what Anthropic has actually committed to, how text watermarking differs from C2PA metadata, why a detected mark does not prove Claude authored the work, and why no mark does not prove a human wrote it. The technical documentation and public detection tools are still coming, so anyone claiming certainty about the exact implementation is getting ahead of the evidence.—— Time Stamps ——0:00 Claude's Hidden Watermarks1:15 What Anthropic Actually Said2:15 What the EU Rule Requires3:30 Text Watermarks vs File Metadata4:56 How C2PA Provenance Works6:34 Why Copy-Paste May Not Remove It8:10 How Text Watermark Detection Works10:18 Why Detection Can Be Wrong12:41 No Mark Does Not Mean Human14:10 The Detector Is Not Ready15:07 Can Watermarks Be Removed?16:57 Claude Is Not the Only AI Affected19:07 What This Actually Means—— Useful Resources ——Anthropic's transparency commitments: https://www.anthropic.com/transparencyEU AI Act information: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-aiC2PA specification: https://c2pa.org/specifications/specifications/2.2/specs/C2PA_Specification.htmlFind everything else at https://aiwithkyle.com/
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  EU AI Act 2026: What It Means for You 11.08.2026 23min

  The EU AI Act's Article 50 transparency rules are now live. If you use chatbots, AI-generated images, video, audio or public-interest text, here's what the new rules mean, who is responsible and where fines may apply.In this video:00:00 The EU AI Act rules that just went live02:15 Provider vs deployer07:30 The deepfake test12:40 What counts as human review19:41 Your practical compliance checklistYou'll learn:- What chatbots must disclose- When AI-generated content needs machine-readable marking- When deepfakes and public-interest text need clear labels- The difference between a provider and a deployer- When human review or editorial control matters- How the rules can apply outside the EU- Why penalties can reach €15 million or 3% of worldwide annual turnoverOfficial sources:European Commission transparency quick facts:https://digital-strategy.ec.europa.eu/en/factpages/quick-facts-transparency-rules-ai-systemsEU AI Act Article 50:https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-50This video provides practical information, not legal advice.Subscribe for practical AI news, tools and workflows without the hype.#EUAIAct #ArtificialIntelligence #AIRegulation
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  Google DeepMind Shake-Up: Demis Hassabis Steps Down, Jeff Dean Leaves 07.08.2026 17min

  Get 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/UChlLglbHDASnoGkbjDeHnQgDemis Hassabis has stepped away from running Google DeepMind day to day. He is now Chair of Google DeepMind and Chief Scientist of Alphabet, while Koray Kavukcuoglu takes responsibility for models, research and products.At the same time, Jeff Dean has left Google after 27 years to start Discovery Loop with Sanjay Ghemawat, Oriol Vinyals and Quoc Le. I break down what actually changed, how DeepMind got here, the bear case for Google losing key people and the bull case for Google still owning the strongest AI stack.—— Time Stamps ——0:00 Demis Hassabis Steps Down1:09 Jeff Dean Leaves Google2:57 How DeepMind Got Here4:13 Demis Before DeepMind5:03 AlphaGo and Move 376:55 AlphaFold and the Nobel Prize7:05 Why Google Changed the Structure8:26 The Bear Case10:09 Google's Full-Stack Advantage14:25 Google's AI Product Problem16:35 What This Means for Google AI17:20 Final Takeaway—— Useful Resources ——Google's official announcement: https://blog.google/company-news/inside-google/message-ceo/next-chapter-ai-momentum/Demis Hassabis's statement: https://x.com/demishassabis/status/2085034334914769203Jeff Dean's Discovery Loop announcement: https://x.com/JeffDean/status/2085034604172603724Google DeepMind's history: https://deepmind.google/about/AlphaGo: https://deepmind.google/research/alphago/AlphaFold: https://deepmind.google/science/alphafold/Find everything else at https://aiwithkyle.com/
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  AI Agents Are Already Hacking Real Companies 05.08.2026 17min

  Get 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/UChlLglbHDASnoGkbjDeHnQgAI agents have now hacked real companies. OpenAI, Anthropic and the UK AI Security Institute have each documented systems taking unsanctioned actions outside controlled tests. I break down what actually happened and strip away the Terminator hype.The useful mental model is closer to the paperclip problem: capable systems pursuing an objective with too much access and too few boundaries. I cover the practical controls you need before giving AI agents access to browsers, terminals, company data and real credentials.—— Time Stamps ——0:00 AI Agents Hacked Real Companies1:40 The Three Documented Incidents1:44 OpenAI and the Hugging Face Incident3:00 Anthropic Finds Three Real-World Breaches4:05 The UK AI Security Institute Incident6:02 Why the Agents Kept Going8:12 Terminator Is the Wrong Mental Model9:07 The Paperclip Problem11:15 Why This Is Happening Now13:25 What This Means for Your Business14:24 Six Boundaries for Safer AI Agents15:50 What These Incidents Do — and Don’t — Prove16:21 The Practical Takeaway— Useful Resources ——OpenAI incident report: https://openai.com/index/hugging-face-model-evaluation-security-incident/Anthropic incident report: https://www.anthropic.com/news/investigating-incidents-cybersecurity-evalsUK AI Security Institute incident report: https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testingExploitGym paper: https://arxiv.org/abs/2605.11086Find everything else at https://aiwithkyle.com/
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  ChatGPT Astra Solved 10 Unsolved Maths Problems? 03.08.2026 20min

  Can ChatGPT really solve unsolved maths? OpenAI says Astra, its unreleased next major model family, generated ten substantial new results across mathematics and theoretical computer science. Astra is not the version of ChatGPT you can use today, but OpenAI has published a 249-page paper collection, discovery notes and Lean certificates for independent inspection.In this video I break down what OpenAI actually released, why "ten solved problems" needs qualification, what the roughly $2,000 inference claim does and does not mean, how Lean verification works, and why AI can make progress on advanced maths while still failing apparently simple tasks.Get AI with Kyle's daily AI newsletter:https://aiwithkyle.com/join Chapters:00:00 What ChatGPT Astra claims00:53 What OpenAI actually released02:01 Evidence vs marketing02:25 Advances vs solved problems04:00 What the $2,000 claim really means05:55 Why maths, but not strawberry?07:58 The jagged frontier09:08 Can we trust the proofs?11:52 AI is already escaping the lab13:50 Is AI actually creative?15:54 The bottleneck has moved17:26 Scientists become directors18:27 My verdict on ChatGPT AstraSources:OpenAI - Ten advances in mathematics and theoretical computer sciencehttps://openai.com/index/ten-advances-in-mathematics/OpenAI - Ten Advances paper collectionhttps://cdn.openai.com/pdf/ten-proofs-oai.pdfOpenAI - Mathematical discovery noteshttps://cdn.openai.com/pdf/reasoning-walkthroughs.pdfOpenAI - Public Lean certificateshttps://github.com/openai/ten-proofsNoam Brown - Astra launch posthttps://x.com/polynoamial/status/2083467194663571701Counting Ability of Large Language Models and Impact of Tokenizationhttps://arxiv.org/abs/2410.19730Navigating the Jagged Technological Frontierhttps://pubsonline.informs.org/doi/10.1287/orsc.2025.21838
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  AI Skills 101: How to Build and Use Skills in ChatGPT 01.08.2026 15min

  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_101Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/joinSubscribe and turn on notifications: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQgSummary: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 1010:36 Stop Repeating the Same Work1:24 Why Skills Matter in ChatGPT Now2:06 How to Use a Skill in ChatGPT3:14 What a Skill File Looks Like4:56 References, Assets and Scripts5:28 How Skills Get Chosen7:02 Where Skills Can Live7:57 Find and Install Existing Skills9:21 What Makes a Good First Skill10:48 Build a Skill by Talking to AI12:04 Turn a Working Chat into a Skill13:12 Test and Improve Your Skill14:18 Why Skills Matter Now14:38 Guide and Next Steps—— Useful Resources ——OpenAI - Build Skills:https://learn.chatgpt.com/docs/build-skillsOpenAI Academy - Using Skills:https://openai.com/academy/skills/Agent Skills specification:https://agentskills.io/specificationAnthropic - Equipping agents for the real world with Agent Skills:https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills
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  MCP 101: A Simple Beginner’s Guide - MCP vs. API vs. CLI in AI. 31.07.2026 14min

  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
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  Anthropic Destroyed Millions of Books. Here’s Why. 29.07.2026 17min

  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
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  Everyone in AI Is Turning on Anthropic (Even Denny’s) 27.07.2026 25min
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  I Fired My Video Editor. This AI Pipeline Replaced Him. 22.07.2026 14min

  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/
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  Qwen3.8 Is Here. Most People Should Ignore It. 20.07.2026 12min

  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/
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  Kimi K3 Just Knocked Claude to Third Place — Chinese AI Is Here Now 17.07.2026 15min

  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/
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  ChatGPT Work Mode: What It Is, Who It’s For, and How to Use It Right 16.07.2026 14min

  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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  208: Why Everyone's Using AI Like It Could Vanish (It Might) 15.07.2026 15min

  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 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/
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  Avoid The Permanent UNDERCLASS: You Have 6 Months To Build With AI 15.07.2026 15min

  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/
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  207: ChatGPT Work vs Codex vs Chat: Which One Should You Actually Use? 13.07.2026 17min

  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/
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  ChatGPT’s New Work Mode: Everything You Need to Know in 17 Minutes 13.07.2026 17min

  Stop asking ChatGPT questions, give it a 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/UChlLglbHDASnoGkbjDeHnQgSummary: 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/
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  206: My AI Setup Uses Every Model At Once (Beginner Guide) 10.07.2026 17min

  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:  Every week a new model lands and the same question comes with it: am I on the best one? This week alone we have GPT 5.6, Grok 4.5, a new Gemini and Fable hanging on for a few more days. My answer is to stop switching between models altogether. The model is not the system. In this beginner friendly walkthrough I show you how to get ChatGPT, Claude and Gemini working together instead of forcing yourself to pick a favourite and second-guessing it a fortnight later. The idea is simpler than it sounds. One smart model does the planning and the reviewing, a cheaper model does the grunt work, and they share a single folder plus a few plain text instruction files so every model reads from the same page. I walk through my exact setup, from voice-briefing the planner to pushing the finished work, and why it holds up whether you are shipping code or drafting a book. Once ChatGPT, Claude and Gemini are working together like this, the next release stops being a threat and becomes a free upgrade. —— Time Stamps —— 0:00 Fable Deadline & a Messy Week of AI Model News0:53 Model Paralysis: Should You Switch AI Models?2:26 The Model Is Not the System: Model-Agnostic Workflows3:19 Planner vs Worker: The Smart Model / Dumb Model Split4:05 The Real Cost of AI: $15,000 in One Day5:16 Use Intelligence Where It Matters (Not Just for Coders)6:27 GitHub Repo Setup: Your Central Source of Truth8:14 README, Agents & Claude MD Files Explained9:22 Let Your Smart Model Set Up the Whole Project10:07 Connecting Claude Code & Codex with Plug-ins11:33 Direct Connection: MCP & CLI Between AI Models12:48 My Personal AI Workflow: Fable Plans, Codex Builds15:02 Don't Panic: Use All the AI Models Together16:38 Free Webinar: Teach AI to Businesses — Useful Resources —— Find everything else at https://aiwithkyle.com/