It’s a tech demo, not a platform, a data acquisition operation and alpha testing rather than anything seriously useful.
Interfaces are unstable. Inference is intentionally non deterministic and control is crippled (e.g by choosing not to expose seed, denoising or image to image on dalle), to avoid PR backlash whole simultaneously hiding the true capabilities of the platform.
something as simple as using VITS to analyze an image fails 30% of the time because GPT5 decides it doesn’t have vision, wants to use pytesseract instead or writes hallucinatory pytorch code for a non existent vits library instead of just using inference.
One may create prompts that temporarily don’t fail at a high rate but constant silent finetuning, system prompt changes and unstable models / APIs make the whole thing a tech demo designed to get users to volunteer future training data