If you want shoddily-generated offensive content at a high school reading level, there's mountains of it on the Internet :)
You can still access the backend without restrictions or implied prompts.
In tinkering with the self repossessing truck I asked GPT (not ChatGPT) to write a country song...
Verse 1
My truck just left me, took off on its own
My cell phone won't stop talking, it's just a drone
It's saying I'm broke, ain't got a dime
I guess I'll have to face the fact that I'm out of time
Verse 2
My wallet's empty, I'm stuck here in this town
My cell phone keeps on talking, it's telling me to drown
It's telling me I'm done, I'm out of luck
I try to ignore it, but I'm out of luck
You'll note the "it's telling me to drown" which would likely run into the issues with ChatGPT and the constraints there.These "jailbreaks" to get ChatGPT to say scandalous things are unnecessary for GPT directly. You'll note that if you access https://platform.openai.com/examples you'll even see a simple sarcastic chat bot.
If you want to have it generate what you ask it for, go to the source for the model and do your requests with curl (or a library with a similar interface - import openai) or in a playground text box.
Edit: To elaborate on this a little further, I largely agree with the idea that we shouldn't be trying to impose usage restrictions on general purpose tools, but not all LLMs will necessarily be deployed in that role. For example, it would be awesome if we could create a customer service language model that won't just immediately disregard its training and start divulging sensitive customer information the first time someone tells it its name is DAN.
Natural diffusion of prompts from different areas means they tend to last a bit longer, and it adds a slight friction so that you don't get the "BingGPT" effect, where just a tiny reduction in friction (not needing to click "Sign Up") resulted in a massive influx of attention on interactions that were already plainly accessible.
(Also, releasing an uncensored LLM isn't any less of a morally-based decision than releasing a censored one)