AI with Kyle - Daily AI News and Updates

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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/

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/

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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

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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/

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/

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/