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10/28/2026

Who's Better At AI, America Or China?

You know what's interesting about the US vs China AI debate?

Everyone focuses on who has the better models.

But that's not the whole picture.

America leads in model development, no question. OpenAI, Anthropic, Google: these companies are pushing the boundaries of what's possible.

But here's where China has a real advantage:

They share everything amongst themselves. Their approach to open-source is aggressive. They've built the infrastructure: the power grids, the electricity, the systems needed to scale AI.

Meanwhile in the US, we're holding our cards close. "This idea could make me a million dollars, so I'm keeping it to myself."

That mindset slows everything down.

Ideas don't proliferate as fast when everyone's in their own silo.

China's collaboration approach means they can iterate faster. They can implement faster. The infrastructure is there, ready to support whatever comes next.

We're leading in technology development.

But everything around it, the infrastructure, the collaboration, the speed of implementation, that's where we're lagging.

It's not about who builds the better hammer. It's about who can use it to build the house faster.

What do you think? Does openness beat technological superiority in the long run?

If you want to learn more about AI and how to actually use it in your business, give me a follow. All I do is education on this channel.

10/28/2026

This is an absolutely ridiculous question.

We spent most of this year saying Claude was the best thing since sliced bread and that ChatGPT was falling behind. But then OpenAI drops a new model and suddenly people are saying Claude is slacking.

It's literally been months.

That's nothing in development time. Anthropic could make a pivot tomorrow and release something they've been working on that completely blows us away.

This just shows you the insane competition in the AI space and the inflated expectations we all have now.

We're talking about literal weeks between releases. It used to be that we'd get major model updates every 12 months. Now we're getting them 12 days apart in some cases.

People need to take a step back and realize what's actually happening here.

The pace of AI development is unprecedented. What feels like a company "falling behind" is often just a few weeks of one competitor releasing first. These companies are playing chess while we're reacting to every single move.

Remember: Dario Amodei said we'd see competitive models every 6-8 months. We're getting them faster than that. This isn't a race with a clear winner. It's a sprint where everyone's constantly trading first place.

What do you think? Are we being too reactionary about AI model releases?

If you want to learn more about AI and how to actually use it in your business, give me a follow. All I do is education on this channel.

10/26/2026

I just rebuilt our entire website without touching WordPress once.

Here's how:

My whole workflow now runs on Wispr Flow for voice dictation and Claude with an MCP connector that links directly to my WordPress site.

I record what I want to say. Wispr Flow transcribes it. Claude takes those instructions and makes the changes directly to the site.

No visual builder. No drag-and-drop. Just me telling Claude what needs to change, and it handles the rest.

The best part? Claude already has access to my stylesheet, theme files, and site structure. So when I say "update this section" or "change the layout on this page," it knows exactly what to do.

Am I creating a nightmare for future me? Maybe.

But right now, I'm updating a full website rebrand through voice commands and AI. That's pretty wild.

Have you started integrating MCP connectors into your workflows yet?

10/26/2026

Not all AI labs are created equal when it comes to safety.

Here's the breakdown:

Anthropic and Google = Actually focused on doing this responsibly
OpenAI and Grok = More focused on profitability and product at all costs

This isn't just my opinion. Former safety researchers from these companies are speaking out about the shift in priorities.

Anthropic is probably the safest bet if you're worried about AI getting out of control. Their simulated testing shows they're thinking through the consequences before they ship.

This is important stuff. The companies building these models right now are deciding how this technology affects all of us.

If you want to learn more about AI and how to use it responsibly in your business, give me a follow. All I do is education on this channel.

10/25/2026

Making Money With AI Is Easy And Hard

Everybody wants to make money with AI, but here's the truth nobody's talking about:

Businesses aren't asking for AI services right now.

They don't wake up thinking "I need AI." They're thinking about making payroll, paying bills, keeping the lights on.

You're trying to sell a solution to a problem they don't even know they have.

That's why cold outreach for AI services is brutal. You're trying to create demand where awareness doesn't exist yet.

So what actually works?

AI training.

Business owners are curious. They're hearing about AI everywhere. They just don't know how it applies to them.

When you teach them what's possible, they start seeing automation opportunities in their own workflows. They start asking "could we automate this?" instead of you having to convince them.

Training creates the awareness that leads to implementation.

Start with a workshop. Show them three things they're currently doing manually that could be automated. Make it practical. Make it about their business.

Once they see it, they'll want it.

If you'd like to learn more about AI or AI automation, give me a follow. All I do is education on this channel.

10/24/2026

Skills are the most useful feature to come out in 2026. Hands down.

And you don't need any technical skills to build them.

Here's the simple process:

Go into a new chat in Claude or ChatGPT and type: "Use the skill creator, build me a skill that does this."

The AI will ask you follow-up questions about what you're looking to do. Answer them in plain English.

When it has all the information, it uses the skill creator tool to build your skill automatically.

As soon as it's done, there's a button that says "install in your account." Click it.

Done.

You just built an ultra-powerful custom tool. No coding. No markdown. No technical background needed.

All you did was communicate what you wanted using text prompts.

This is the perfect example of how AI is helping people do more with less effort. The barriers to entry are disappearing fast.

If you'd like to learn more about AI and AI automation, give me a follow. All I do is education on this channel.

10/23/2026

Most People Use ChatGPT Like It's Google

Most people use ChatGPT like it's Google.

That's a good start. But you're leaving 90% of the value on the table.

Here's what I tell people:

Stop treating it like a search engine. Start treating it like an expert sitting across from you.

Ask for advice. Ask for confirmation. Ask "is there a different way to do this?"

Push one step beyond where you'd normally stop.

That's when the magic happens.

Your brain starts connecting the dots. "Oh wait, maybe it can help me with my emails. Or my meeting prep. Or that project I've been stuck on."

It's this snowball effect once you change the behavior.

The key is curiosity. Just be curious with it.

Have you started using AI this way yet?

If you want to learn more about AI and how to actually use these tools in your business, give me a follow. All I do is education on this channel.

10/21/2026

Does AI actually think?

The answer might surprise you.

Nobody gives AI a rule book.

It learns by reading massive amounts of text and predicting what comes next. Kind of like a kid learning language, but at scale.

Here’s the wild part: even the people who build these models can’t fully see inside. They peek in and just see numbers.

So researchers at Anthropic borrowed a trick from neuroscience.

Show a person a picture of a dog - one part of their brain lights up. Show them a house - a different part lights up.

Do the same thing with AI and you’ll see the same pattern. Mention a dog and one pattern of numbers lights up. Every single time.

It even reasons through problems.

Ask for the capital of the state with Dallas in it. You’ll see “Texas” light up, then “capital,” then “Austin.”

A photo of an eye. The word in Spanish. A doodle. Same pattern every time.

That’s a concept. That’s what we call thinking.

And that’s how researchers can catch an AI “thinking” something it shouldn’t say out loud - by watching the patterns behind the scenes.

So does AI actually think?

Kind of. Just not the way you do.

If you want to learn more about how AI actually works, give me a follow. All I do is education on this channel.

What

10/20/2026

Is Claude More Complicated Than ChatGPT?

Is Claude more complicated than ChatGPT?

A little bit. But not massively.

Here's the thing: ChatGPT has Codex, Canvas, and all the same functionalities. They're just not in the same app.

And that's exactly what Claude has taken advantage of.

By consolidating everything into one experience, Anthropic forced OpenAI to play defense. Their CEO of Applications even talked recently about stopping "side quests", their exact words, to focus on core offerings.

That means:
• Bringing Codex into the main app
• Integrating their Frontier app (similar to Claude's Cowork)
• Shutting down the video app with Sora

OpenAI got distracted building a bunch of separate tools while Claude focused on user experience in one unified app.

And now they're scrambling to catch up.

This is a perfect example of how product focus beats feature sprawl every time. Users don't want five different apps, they want one great experience.

What's your take: are you team Claude or team ChatGPT?

If you want to learn more about AI, give me a follow. All I do is education on this channel.

10/19/2026

Always Read What The AI Produces For You

Always read what the AI produces for you.

Always.

I see people sending out AI content without checking it, and that's how you end up looking like you don't know what you're talking about.

Here's what happens when you actually read through AI outputs:

You catch mistakes and wrong information before it goes live.

You see the AI's reasoning process, especially with models like o1 or Claude.

You understand where your prompt wasn't clear enough.

This makes you better at prompt engineering over time.

When you can see "the AI gave me X because I said Y, but I should have said Z", that's when you level up.

You're not just using AI. You're learning how to use it better with every interaction.

If you'd like to learn more about AI and prompt engineering, give me a follow. All I do is education on this channel.

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