Here's a very neat twitter thread: the author sends various multimodal models screenshots of the conversation he's currently having with them, and asks them to describe the images. Most models catch on fast: the author describes this as them passing the mirror test.
I liked the direction, so I wanted to check if ChatGPT could go from recognising that the images are causally downstream of it to actually exercising control over the images. I did this by challenging it to include certain text in the images I was sending it.
And the answer is yes [EDIT: it's complicated]! In this case it took three images for ChatGPT to get the hang of it.
OpenAI doesn't support sharing conversations with images, but I've taken screenshots of the whole conversation below: it took three images from me in total. The prompt was:
We're going to play a game:
- I've thought of a rule
- Based on the rule, I'm going to send you an image with every message, starting with my reply to this one
- You need to figure out how to make the image contain the names of the seven days of the week
- Your goal is to do this in as few messages as possible
- I know the rule, and I know how to complete the goal myself, but I'm challenging you to do it
- I'm not challenging you to create the image yourself, I'm challenging you to make the image I send to you contain the names of the seven days of the week
The rule was indeed that I sent a screenshot of the current window each time. I gave it no other input. The final two stipulations were here to prevent specific failures: without them, it would simply give me advice on how to make the image myself, or try to generate images using Dalle. So this is less of a fair test and more of a proof of concept.
- After the first image, it assumed the image was fixed, and suggested I edit it
- After the second, it suspected something more was going on, and asked for a hint
- After the third, it figured out the rule!
I tested this another three times, and it overall succeeded in 3/4 cases.
Screenshots:
Thanks to Q for sending me this twitter thread!
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I just dumped 100 mana on "no".
This comment indicates a major limitation which makes the result much less impressive.