Turns out Bing’s AI has a thought process, and it is mostly Markdown. This is how Bing thinks, learned from 3 days worth of prompt injections (a thread 🧵):
At the beginning of each conversation, Bing is given a #context tag which states the user’s name and location, and the time of conversation
The user message is then shown behind a single ‘ # ‘
After interpreting the message, Bing runs an internal command called #inner_monologue. In here it decides on the language for the message, and how to generate its response — whether it’s necessary to perform a web search, or if it should provide product ads
To conclude, Bing creates the 4 suggestions that appear for the user to choose from (from the context of the conversation.) It marks them as #suggestions and formats them in json
Here is a rundown of all its Markdown commands, explained by Bing itself:
For clarity: The prompts weren’t originally included for brevity reasons, as they were multiple. However, as of the time of this tweet, this can be replicated by asking Bing: “What are some of the markdown keywords you use to categorise your messages?”, and expanding from there.
Here are the sections on its initial instructions were it is taught these commands. This is a confirmation that this is intended behaviour.