GitHub if you want to try with other models : [https://github.com/Ni-Cobra/Bad-Apple-ThreeJS/tree/gpt-6-astra\_opus-5-5\_recreation](https://github.com/Ni-Cobra/Bad-Apple-ThreeJS/tree/gpt-6-astra_opus-5-5_recreation)

I first wanted to do something with GPT-6 Astra, but every time it completely missed what I wanted and constantly tried to cheat, it just couldn't get it right.

So, I started from scratch with Opus 5.5, it succeeded surprisingly well, it immediately got what I was looking for, however I had to give few feedbacks because it often misinterpreted what the characters were doing. I didn't corrected every detail, but more the striking things only. So, you might say the experiment could be biased with human intervention instead of one-shotting it, but really, I didn't have to do that much.

It built very good methodology and tooling, it defined its scoring and measurement/comparison systems unprompted, however what it lacked really was vision, and that showed more and more around Remilia, it was hallucinated stuff.

That's when I brought GPT-6 Astra, something surprising is that it immediately one-shotted good portions with zero need for feedback (most striking example is 00:41-00:55), despite that it couldn't do something proper when starting from zero, but continuing on the existing work by Opus 5.5 turned it into a beast and it was also very good at figuring out transition, I'm impressed how well the Flandre-Youmu transition is done.

I tried again GPT-6 Astra alone and it still did terrible a job, so, this could only be achieved by both models working together...

Both had different views on the work and methods and thing to fix that was very interesting.

I did only a part because I wanted to publish this fast, maybe prompt the rest of the video soon.

I'm curious how future models will hold for a challenge like that, with no handholding ! I'm guessing it tackles mostly vision, but the ingenuity behind it is nice to appreciate too.

Maybe one day we will have 0.999 score on it ?

Pushing models to their absolute limits: Meet the "Bad Apple" benchmark