When everything breaks, that’s when I learn fastest.

The system broke. Again.

I woke up on Wednesday thinking I’d finally nailed it. My custom GPTs were humming along, my frameworks were running like clockwork, and I could almost taste the smug satisfaction of “finally being on top of it all.”

And then ChatGPT 5.1 dropped.

Followed closely by Gemini 3. And then Grok 4- not that I was using Grok, but just knowing it was out made my left eye twitch.

The irony here? I teach AI. I train people in how to integrate it into their businesses. And still, I found myself scrambling to keep up. Everything broke. My polished, pre-organised GPTs? Unusable. My “signature” frameworks I use on stage at conferences? Glitched. And what had been my proudest AI stack two days ago became a fragmented puzzle that no longer fit together.

But as I began rebuilding from the rubble, I realised something:

I love this.

The real lesson isn’t in the AI – it’s in me.

I rebuilt a GPT from scratch that same afternoon. Then I tested it. Broke it again. And rebuilt it again.

Every error became an education. Every failed test? A data point. Every frustrating incompatibility was actually another reason to learn faster, better, and more deeply.

The cycle is starting to feel familiar. AI changes. The world changes. Legislation changes. The business environment shifts. Something that worked six months ago is redundant today.

We used to say “change is constant.” But that’s the lazy version. Change is relentless, inconvenient, and often irrational. And yet, it’s also the best teacher I’ve ever had.

Because with every disruption, I find new ways of thinking. I learn faster when my systems break. I adapt faster when my assumptions stop working. And that’s the skill I never want to lose.

You don’t need to master everything—just keep learning.

Learning how to learn faster is the benefit that I’ve accidentally trained into myself by being exposed to constant system failure.

It’s not the frameworks that are valuable. It’s not even the AI tools.

It’s the ability to start again - without freaking out.

If you’re waiting for things to “settle down” before you dive into AI, you’re going to miss the point. It will never settle. The pace of innovation isn’t slowing down. If anything, we’re only just reaching critical velocity.

This week showed me that my edge isn't in knowing more than others. It's in rebuilding faster than most people are willing to try.

The future belongs to the fastest learners.

So no, I’m not lamenting the death of GPT 4.0’s stable behaviours.

I’m celebrating the birth of something better - and the challenge it brings.

Let the frameworks break. Let the tools change. Let the rules reset every quarter. Because it means I stay sharp, I keep moving, and I never, ever get bored.

That's it for this week.

A quick read about getting ok with things breaking sometimes - because it's actually good for you. It took me a while to learn it though.

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Have a wonderful week.

Dante St James

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