Afleveringen
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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
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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/
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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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Zijn er afleveringen die ontbreken?
-
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/
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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/
-
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/
-
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/
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Read the full issue: https://aiwithkyle.com/ai-news/fable-limited-sol-here
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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:
Claude Fable 5 is being taken off the subscription tomorrow and dumped behind API pricing that would cost me thousands a day to run properly. Half my community is in mourning. I get it, because for one week Fable 5 tore through problems that had been sitting on my desk for months and did work I would once have paid three people to do. But grieving Fable 5 is fixating on the wrong thing. The real story is that what feels like science fiction this week becomes ordinary within a year, the models keep getting cheaper and faster, and that is brilliant news if you build things and rather less brilliant if you have a nine to five.
So in this one I get on with the useful part: what you actually do next. I cover why the model going away barely matters, what is coming after it, and how to run capable AI on your own machine, free and genuinely private, with nothing sitting on someone else's server. LM Studio, Ollama, Hugging Face, what the parameter counts really mean, the hardware you need before the "run Claude for free" crowd walks you off a cliff, and the small local setup I lean on every single day.
—— Time Stamps ——
0:00 Claude Fable Is Going Behind a Paywall1:12 Fable's API Pricing: $10 In, $50 Out2:02 One Week With Fable: Debt Payoff, Book Tools & 15 Builds3:32 We've Seen This Movie Before: The Model Hype Cycle4:01 GPT-5.6 Rumors: Sol, Luna & Terra Coming This Week?5:13 AI Costs Are Collapsing Up to 900x6:44 The Release Cycle: Anthropic, OpenAI, Google & Open Models7:54 The Apollo Analogy: 5MB of RAM Landed on the Moon8:51 The Big Takeaway: Your Job Is Not Safe11:42 What to Do: Build Something You Control13:25 Where to Start: Free Courses & Finding Demand14:55 AI Workshops: The $1K–$3K Per Hour Opportunity16:24 Wrap-Up: Fable Leaves, Intelligence Doesn't
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
Read the full issue: https://aiwithkyle.com/ai-news/boomeranging
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:
Claude Fable 5 is being taken off the subscription tomorrow and dumped behind API pricing that would cost me thousands a day to run properly. Half my community is in mourning. I get it, because for one week Fable 5 tore through problems that had been sitting on my desk for months and did work I would once have paid three people to do. But grieving Fable 5 is fixating on the wrong thing. The real story is that what feels like science fiction this week becomes ordinary within a year, the models keep getting cheaper and faster, and that is brilliant news if you build things and rather less brilliant if you have a nine to five.
So in this one I get on with the useful part: what you actually do next. I cover why the model going away barely matters, what is coming after it, and how to run capable AI on your own machine, free and genuinely private, with nothing sitting on someone else's server. LM Studio, Ollama, Hugging Face, what the parameter counts really mean, the hardware you need before the "run Claude for free" crowd walks you off a cliff, and the small local setup I lean on every single day.
—— Time Stamps ——
0:00 Claude Fable Is Going Behind a Paywall
1:12 Fable's API Pricing: $10 In, $50 Out
2:02 One Week With Fable: Debt Payoff, Book Tools & 15 Builds
3:32 We've Seen This Movie Before: The Model Hype Cycle
4:01 GPT-5.6 Rumors: Sol, Luna & Terra Coming This Week?
5:13 AI Costs Are Collapsing Up to 900x
6:44 The Release Cycle: Anthropic, OpenAI, Google & Open Models
7:54 The Apollo Analogy: 5MB of RAM Landed on the Moon
8:51 The Big Takeaway: Your Job Is Not Safe
11:42 What to Do: Build Something You Control
13:25 Where to Start: Free Courses & Finding Demand
14:55 AI Workshops: The $1K–$3K Per Hour Opportunity
16:24 Wrap-Up: Fable Leaves, Intelligence Doesn't
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
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:
Fable 5 is back on the normal Claude subscription, but only for a few days, and then it vanishes behind a genuinely eye-watering price. Which puts you in an odd spot: the smartest AI in the world is sitting in your app, and you have roughly one prompt a day to use it. So the question stops being what it can do, and becomes what on earth you should ask it. This video is my answer, built around one idea: treat it less like a chatbot and more like the Oracle of Delphi.
I walk through the method I have been using all week. Leave the mundane jobs to the cheaper models. Use one of those cheaper models to help you draft the question first, then hand the finished thing to Fable 5 in a single fully specced shot, with a safety net so it never has to come back and ask. And the questions worth your one shot are the uncomfortable ones. Where am I wasting my time. What am I avoiding. What would embarrass me if someone sharp studied my work for an hour. Big model, big questions. It turns out the hard part was never the AI.
—— Time Stamps ——
00:00 Fable Is Back: You Have Until July 7th01:33 Fable Will Be the New Normal02:07 Two Mistakes People Are Making With Fable03:23 The Right Mindset: Big Model, Big Problems04:49 Use a Dumber AI to Write Your Fable Prompts06:34 Usage Limits & the One-Prompt Strategy07:45 How I Use Fable: Brutal Self-Challenge Questions09:26 The Real Skill: Asking Better Questions10:45 Time-Sensitive: Why $20 Is Worth It Right Now12:05 Your Homework This Weekend13:04 Resources & Wrap-Up
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
Read the full issue: https://aiwithkyle.com/ai-news/i-ll-stop-soon
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:
Fable 5 is back on the normal Claude subscription, but only for a few days, and then it vanishes behind a genuinely eye-watering price. Which puts you in an odd spot: the smartest AI in the world is sitting in your app, and you have roughly one prompt a day to use it. So the question stops being what it can do, and becomes what on earth you should ask it. This video is my answer, built around one idea: treat it less like a chatbot and more like the Oracle of Delphi.
I walk through the method I have been using all week. Leave the mundane jobs to the cheaper models. Use one of those cheaper models to help you draft the question first, then hand the finished thing to Fable 5 in a single fully specced shot, with a safety net so it never has to come back and ask. And the questions worth your one shot are the uncomfortable ones. Where am I wasting my time. What am I avoiding. What would embarrass me if someone sharp studied my work for an hour. Big model, big questions. It turns out the hard part was never the AI.
—— Time Stamps ——
00:00 Fable Is Back: You Have Until July 7th
01:33 Fable Will Be the New Normal
02:07 Two Mistakes People Are Making With Fable
03:23 The Right Mindset: Big Model, Big Problems
04:49 Use a Dumber AI to Write Your Fable Prompts
06:34 Usage Limits & the One-Prompt Strategy
07:45 How I Use Fable: Brutal Self-Challenge Questions
09:26 The Real Skill: Asking Better Questions
10:45 Time-Sensitive: Why $20 Is Worth It Right Now
12:05 Your Homework This Weekend
13:04 Resources & Wrap-Up
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
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:
Everyone's suddenly an expert on open source AI, and almost nobody's using the term correctly. I break down what open weights actually means, why it's not the same as open source and definitely not the same as free, and why your laptop has zero chance of running a 753 billion parameter model no matter how many browser tabs you close first.
I walk through Hugging Face, show you what's actually inside these model files, and explain the real difference between downloading a model and being able to run one. If you've heard people throw around GLM, DeepSeek or Qwen and nodded along without having a clue what any of it means, this sorts it out in non tech speak.
—— Time Stamps ——
0:00 Open Source vs Open Weight AI: Why It Matters0:40 The Open Source Price War: Why Anthropic & OpenAI Are Scared1:49 Claude Sonnet 5 vs GLM 5.2: Anthropic's IPO Nightmare3:15 What Open Source Actually Means (It's Not Free)4:48 Open Weights vs Open Source: The Taxi, Car & Kit Car Analogy7:08 How to Download AI Models: Hugging Face Walkthrough8:06 Inside GLM 5.2: Licenses, Safetensors & 753 Billion Parameters10:32 Running AI Models Locally: Hardware Requirements & Quantization11:55 American vs Chinese Open Source Models: Who's Left in the Game13:34 Open Source AI Rankings: The Top Models Are All Chinese14:57 Trillion-Dollar IPOs vs China's Undercut Strategy17:58 Cost Per Intelligence: $2.75 vs 50 Cents Per Task20:39 The AI Triage System: Which Model for Which Task23:06 Newsletter, Webinar & How to Get Paid Teaching AI
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
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:
Everyone's suddenly an expert on open source AI, and almost nobody's using the term correctly. I break down what open weights actually means, why it's not the same as open source and definitely not the same as free, and why your laptop has zero chance of running a 753 billion parameter model no matter how many browser tabs you close first.
I walk through Hugging Face, show you what's actually inside these model files, and explain the real difference between downloading a model and being able to run one. If you've heard people throw around GLM, DeepSeek or Qwen and nodded along without having a clue what any of it means, this sorts it out in non tech speak.
—— Time Stamps ——
0:00 Open Source vs Open Weight AI: Why It Matters
0:40 The Open Source Price War: Why Anthropic & OpenAI Are Scared
1:49 Claude Sonnet 5 vs GLM 5.2: Anthropic's IPO Nightmare
3:15 What Open Source Actually Means (It's Not Free)
4:48 Open Weights vs Open Source: The Taxi, Car & Kit Car Analogy
7:08 How to Download AI Models: Hugging Face Walkthrough
8:06 Inside GLM 5.2: Licenses, Safetensors & 753 Billion Parameters
10:32 Running AI Models Locally: Hardware Requirements & Quantization
11:55 American vs Chinese Open Source Models: Who's Left in the Game
13:34 Open Source AI Rankings: The Top Models Are All Chinese
14:57 Trillion-Dollar IPOs vs China's Undercut Strategy
17:58 Cost Per Intelligence: $2.75 vs 50 Cents Per Task
20:39 The AI Triage System: Which Model for Which Task
23:06 Newsletter, Webinar & How to Get Paid Teaching AI
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
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:
I want to talk about something that's been bothering me for weeks now. GPT 5.6 just landed, and it's not coming to you or me. It's going straight to a vetted list approved by the US government, the same thing that happened to Claude Mythos and Fable not long before it. In this one I break down what's actually in the GPT 5.6 release, how Sol and Terra compare to Mythos on the benchmarks that matter, and why the real question in 2026 isn't whether a model is smart anymore. Every model is smart now. The question is whether you're allowed to use it.
Then I get into what to actually do about it. I cover open source alternatives like GLM and Gemma, why running a model locally on your own machine has gone from a nerdy side project to a genuinely sensible backup plan, and how to start spreading your dependence across more than one provider before the next lockdown happens. If you run a business on any of these tools, this is the part you really shouldn't skip.
—— Time Stamps ——
0:00 Why I'm Disillusioned With AI for the First Time0:51 AI Lockdowns: Fable Banned & GPT-5.6 Restricted2:52 Meet GPT-5.6: Sol, Terra & Luna Model Family4:16 Too Dangerous to Release: The US Government Steps In5:44 The Benchmarks: Just as Powerful, Far More Efficient8:39 The Real Threat: Bioweapons & Hacking Banks9:10 The Permission Era: A New Digital Divide10:11 The Fix: Open Weights & Open Source10:48 Chinese Open Source Models: GLM 5.2 Max11:41 Run Powerful AI Locally on Your Own Machine13:12 Dario Amodei's Crusade Against Open Source13:56 How to Set Up Local Models on Your Devices14:27 Don't Depend on One Model (or One Country)15:53 The New Question: Do You Even Have Access?16:51 IPO Fallout & Final Thoughts
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
Read the full issue: https://aiwithkyle.com/ai-news/ai-access-becoming-permissioned
Get the free resource: https://aiwithkyle.com/mini/hedge-your-stack?utm_source=youtube&utm_medium=description&utm_campaign=mini_hedge_your_stack
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:
I want to talk about something that's been bothering me for weeks now. GPT 5.6 just landed, and it's not coming to you or me. It's going straight to a vetted list approved by the US government, the same thing that happened to Claude Mythos and Fable not long before it. In this one I break down what's actually in the GPT 5.6 release, how Sol and Terra compare to Mythos on the benchmarks that matter, and why the real question in 2026 isn't whether a model is smart anymore. Every model is smart now. The question is whether you're allowed to use it.
Then I get into what to actually do about it. I cover open source alternatives like GLM and Gemma, why running a model locally on your own machine has gone from a nerdy side project to a genuinely sensible backup plan, and how to start spreading your dependence across more than one provider before the next lockdown happens. If you run a business on any of these tools, this is the part you really shouldn't skip.
—— Time Stamps ——
0:00 Why I'm Disillusioned With AI for the First Time
0:51 AI Lockdowns: Fable Banned & GPT-5.6 Restricted
2:52 Meet GPT-5.6: Sol, Terra & Luna Model Family
4:16 Too Dangerous to Release: The US Government Steps In
5:44 The Benchmarks: Just as Powerful, Far More Efficient
8:39 The Real Threat: Bioweapons & Hacking Banks
9:10 The Permission Era: A New Digital Divide
10:11 The Fix: Open Weights & Open Source
10:48 Chinese Open Source Models: GLM 5.2 Max
11:41 Run Powerful AI Locally on Your Own Machine
13:12 Dario Amodei's Crusade Against Open Source
13:56 How to Set Up Local Models on Your Devices
14:27 Don't Depend on One Model (or One Country)
15:53 The New Question: Do You Even Have Access?
16:51 IPO Fallout & Final Thoughts
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
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:
Today I'm tackling the problem nearly everyone using AI seriously eventually hits: your tools don't talk to each other. ChatGPT on your phone has no idea what Claude Code did on your desktop, and Codex on your laptop is working blind to both. I walk through how to build a vendor agnostic AI vault, a shared brain made of simple markdown files that any tool can read, so your context stops getting lost between apps. I show you how to get an AI to interview you and build the entire folder structure for you, no technical setup required, and where GitHub and Obsidian actually fit into the picture (hint: Obsidian is for you, not the AI).
If you've seen those gorgeous Obsidian graph diagrams floating around and felt like you were missing something, this clears it up. I explain why the vault, not Obsidian, is the actual brain, why GitHub is the smartest way to sync it across devices, and how to keep growing the system over time so it gets more useful the more you use it. Whether you're juggling client projects, personal life admin or a dozen half finished side builds, this gives every AI tool you use the same source of truth.
—— Time Stamps ——
0:00 The Problem: Your AI Tools Don't Share Memory0:36 The Obsidian Vault Hype, Explained Simply1:30 Why Your AI Context Is Scattered in 20262:39 What Is a Markdown File?4:17 How Obsidian Works and Why the Vault Matters More5:33 Structuring Your Vault: Personal, Business, Projects6:35 Let the AI Interview You to Build It7:14 README, AGENTS.md and CLAUDE.md Explained9:13 Use Claude Code or Codex: The Interview Prompt10:02 Pro Tip: Use a Microphone and Just Talk10:38 Make It a GitHub Repo for a Durable Vault11:47 Recap: Obsidian Is Optional, Start Now12:27 Wrap-Up and Free Newsletter
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
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Read the full issue: https://aiwithkyle.com/ai-news/build-one-shared-ai-vault
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:
Today I'm tackling the problem nearly everyone using AI seriously eventually hits: your tools don't talk to each other. ChatGPT on your phone has no idea what Claude Code did on your desktop, and Codex on your laptop is working blind to both. I walk through how to build a vendor agnostic AI vault, a shared brain made of simple markdown files that any tool can read, so your context stops getting lost between apps. I show you how to get an AI to interview you and build the entire folder structure for you, no technical setup required, and where GitHub and Obsidian actually fit into the picture (hint: Obsidian is for you, not the AI).
If you've seen those gorgeous Obsidian graph diagrams floating around and felt like you were missing something, this clears it up. I explain why the vault, not Obsidian, is the actual brain, why GitHub is the smartest way to sync it across devices, and how to keep growing the system over time so it gets more useful the more you use it. Whether you're juggling client projects, personal life admin or a dozen half finished side builds, this gives every AI tool you use the same source of truth.
—— Time Stamps ——
0:00 The Problem: Your AI Tools Don't Share Memory
0:36 The Obsidian Vault Hype, Explained Simply
1:30 Why Your AI Context Is Scattered in 2026
2:39 What Is a Markdown File?
4:17 How Obsidian Works and Why the Vault Matters More
5:33 Structuring Your Vault: Personal, Business, Projects
6:35 Let the AI Interview You to Build It
7:14 README, AGENTS.md and CLAUDE.md Explained
9:13 Use Claude Code or Codex: The Interview Prompt
10:02 Pro Tip: Use a Microphone and Just Talk
10:38 Make It a GitHub Repo for a Durable Vault
11:47 Recap: Obsidian Is Optional, Start Now
12:27 Wrap-Up and Free Newsletter
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
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:
The most advanced AI model ever released to the public, Anthropic's Fable 5, was pulled from shelves roughly 48 hours after launch. Not by Anthropic. By the US government, citing national security and export control concerns. The ban applies to all foreign nationals, meaning non-US citizens are locked out entirely. I went through the full timeline on the live: the jailbreak, the Amazon angle, David Sacks' government-side narrative, and why Dario Amodei arguably talked his own model into a ban by spending months telling everyone it was a weapon.
The more interesting question though isn't whether we get Fable back. It's what this reveals about the structure underneath all of it. You don't own your AI access. It's rented land. A government or a boardroom decision and it's gone, sometimes with 90 minutes' notice. In this one I get into what that actually means practically: local models, open source alternatives, the geopolitical chess game between the US and China, and the one skill that matters regardless of which model you're using.
—— Time Stamps ——
0:00 Fable & Mythos Banned: What Happened and Why It Matters0:51 Background: Fable vs Mythos, Project Glasswing & the "Super Weapon"2:58 Why People Fell in Love With Fable 5 (Expert Reactions)7:10 The Ban Timeline: Launch, Backlash & the 90-Minute Export Order9:52 What Triggered the Ban? Speculation & the Enforcement Problem11:29 The David Sacks Narrative: The Government's Side of the Story13:50 Pliny Jailbreaks Fable 515:15 Anthropic vs the Administration: The Standoff17:38 The Foreign National Rule & the Digital ID Threat20:09 Why You Should Learn Local & Open-Source Models (LM Studio Guide)24:34 Think Bigger: The Real Skill as AI Keeps Improving25:42 Big Open Questions: China, the IPO & AI Geopolitics29:00 Newsletter & Webinar: Get Paid to Teach AI
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
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Hand big work to AI without getting burned (Free Guide): https://aiwithkyle.com/mini/fable-commissioning
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:
Claude Fable 5 and Mythos are here, and they've quietly split the AI world in two. In this episode I break down exactly what these models are, why most people are only getting Fable and not Mythos, and what the June 22nd deadline actually means for your access. The hierarchy has shifted: it no longer goes Opus, Sonnet, Haiku. There's a new tier above all of that, and it costs significantly more than your current subscription.The uncomfortable truth is that $200 a month now puts you in the lower class of AI user. The models capable of genuinely transformative work are heading toward pay-per-use pricing at roughly $40 an hour, and only businesses with serious cash flow will run them at scale. I cover what this bifurcation means practically, who it affects, and how to get the most out of Fable while you still have free access.
—— Time Stamps ——
0:00 This Week in AI: Mythos, Fable 5 & the IPO News1:20 First Impressions: Why Fable 5 Feels Like a Step Change3:13 Prompting vs. Commissioning: A New Way to Work With AI4:55 The Backstory: "Most Dangerous Model," Glasswing & the IPO6:13 The New Model Hierarchy: Where Fable Fits7:00 Safeguards: Why Biomedical Researchers Got Cut Off7:50 Ethan Mollick's Isochronic Map: What Fable Can Really Do9:02 AI as a $40-an-Hour Employee & the Impact on Jobs10:37 The Black Box Problem & Distillation Attacks11:56 Is Fable Overkill? When Not to Use It12:38 Solving Big Problems: The Youth Unemployment Case Study13:42 The June 22nd Cutoff & the AI Wealth Divide16:15 Controversies: Gatekeeping, Jailbreaks & Transparency17:42 AI for the People or the Elites? OpenAI's Opening18:50 Wrap-Up & Free Newsletter
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
-
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:
AI search is eating into Google and if your business isn't showing up inside ChatGPT, Claude, or Google's AI Overviews, you're already behind. In this video I go through what Ahrefs found across 1 billion data points and 14 studies: which content formats actually get cited by AI, why schema markup does essentially nothing, and why YouTube turns out to be the single strongest signal for AI brand visibility. Yes, really.
Practical stuff only. Blog listicles, homepage rewrites, reviews, directories, podcasts, and a YouTube strategy most businesses are completely sleeping on. Nobody's even agreed on a name for this yet (GEO? AEO? LLM SEO?) but the playbook is simpler than you'd think.
—— Time Stamps ——
0:00 Intro: How to Be Discoverable Inside AI01:07 What Do We Even Call It? AI SEO vs GEO vs AEO1:39 AI Still Looks for Real Evidence Across Surfaces2:59 Blog Listicles: ChatGPT's #1 Cited Content Format3:40 Chatbots vs Google AI Overviews Explained5:34 Wikipedia & the Sources Marketers Can't Control6:35 The Hidden Discovery Layer: Zero Google Visibility7:46 Retrieved vs Cited: ChatGPT's 50% Citation Gap8:27 Off-Site Signals: Reviews, Podcasts & Directories9:22 Why YouTube Is the #1 Signal for AI Visibility10:43 How AI Overviews Are Killing Your Website Clicks12:28 Comparison Pages & Why Schema Markup Is a Waste14:36 Stop Tricking the Algorithm — Just Be Useful15:19 The Practical AI Visibility Checklist16:17 Wrap-Up & Free Resources
— Useful Resources ——
Find everything else at https://aiwithkyle.com/
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