For a long time, I optimized for explaining AI clearly.

Now, I want to optimize for something harder: explaining it deeply.

That means fewer rushed takes.

Fewer surface-level reactions.

And a lot more effort put into long-form, story-driven videos built on actual research.

Because honestly, a lot of AI coverage today is too fast, too narrow, and too confident.

A headline drops.

A clip goes viral.

Everyone repeats the same simplified version.

And a week later, most people still do not understand what actually happened.

I want to do the opposite.

I want to make videos that take the time to reconstruct the full story.

Where an idea started.

How it evolved.

Who shaped it.

What got distorted along the way.

And why the real context matters more than the hype cycle around it.

That is the new format I am leaning into.

Longer videos.

More qualitative storytelling.

More digging.

More timeline reconstruction.

More effort spent turning messy AI narratives into something people can actually understand.

I already started with the first few.

And I have more coming very soon.

This feels like the kind of work I want to do more of.

And honestly, the kind of work I want to be known for.

I am also more motivated than I have been in a long time to really grow YouTube again.

100K subscribers has been a goal in the back of my mind for years.

Now it finally feels close, with roughly 30% left to go.

So if you like AI content that goes beyond the hype, and puts real effort into depth, research, and storytelling, subscribe:

I think the next phase of AI education needs more context, not more noise.

What is one AI topic you think deserves this kind of deep storytelling treatment?