Don't chase the latest model

The model is rarely the bottleneck. Your judgment about the output is.

My favourite AI image model is Seedream 4.5. Seedream 5 is out. I'm still on 4.5, on purpose, and I think the reason is worth more than the decision.

I build personalised illustrated books for grandparents, so every page has to look painted. A real watercolour, the kind someone keeps on a shelf, with paper showing through and soft edges where the pigment bleeds. When I tested Seedream 5, every pixel was filled. Technically gorgeous, and completely airless. No room to breathe. For the one thing I actually needed, the newer model was worse.

That's not a knock on Seedream 5. It's a better model on most measures. It just wasn't better for me. And learning to tell those two things apart is most of the skill.

The models are already very good

Here's what building an entire business on these tools taught me. Image and language models are already sitting somewhere around the 95th percentile of "pretty darn good." Each new release is a genuine step up, but an incremental one. The gap between "current best" and "last year's best" is real and shrinking.

When the improvements are incremental, the shiny new release is easy to overvalue. It feels like progress to upgrade. Often it's just motion.

What actually compounds

What's not incremental is taste. Knowing the output is wrong even when you can't write the fix yourself. Knowing which model suits your specific job rather than the benchmark leaderboard. Knowing when the thing is quietly lying to you and you need a human, you, to step in.

That judgment compounds the longer you stay with one tool. Chasing every release does the opposite: it resets you to the bottom of a new learning curve, where you don't yet know the model's tics, its failure modes, the prompt shapes it likes. You trade hard-won fluency for a slightly higher benchmark you may never feel.

So pick the model that's best for your actual use case, not the newest one. Learn it deeply. Build the taste to know when it's wrong. That beats running a version you barely understand because it launched on Tuesday.

The model is rarely the bottleneck. You are, in the good way. The whole reason I can run this business solo is that I spent the time to develop judgment about the output, not to chase the output that scored highest this week.

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