Yes but did you learn anything?
Shell scripting was something that I failed to get any real traction with for decades, and since letting AI help me write dozens of shell scripts, I find that I have gained a basic level of proficiency. (i.e. I found that I had become relatively fluent in writing them even without assistance, which surprised me!)
It ties in with the Input Hypothesis of language acquisition. More volume in = more opportunities for brain to find the patterns, and learn them naturally.
That doesn't work for the approach where you don't look at the code at all, though. Which seems to depend on your goals for the project.
For the boids thing, the math isn't something I enjoy doing manually anyway (I've done that for the last 15 years and it always felt like pulling teeth), so the main learning I'd get there would be at the applied level... How to tweak the Perlin noise to get the result I want, rather than how or why it works in the first place.
How many supposed "10x" coders actually produced unreadable code that no one else could maintain? But then the effort to produce that code is lauded while the nightmare maintenance of said code is somehow regarded as unimpressive, despite being massively more difficult?
I worry that we're creating a world where it is becoming easy, even trivial, to be that dysfunctional "10x" coder, and dramatically harder to be the competent maintainer. And the existence of AI tools will reinforce the culture gap rather than reducing it.