An obvious first idea is to switch between 4.1 and 4o in the chat interface and see if the phenomenon we’ve been investigating occurs for both of them
Oh, switching models is a great idea. No access to 4.1 in the chat interface (apparently it’s API-only, at least for now). And as far as I know, 4o is the only released model with native image generation.
4o → 4.5: success (in describing the image correctly)
4o → o4-mini-high (‘great at visual reasoning’): success
o4-mini-high’s reasoning summary was interesting (bolding mine):
The user wants me to identify both the animals and their background objects in each of the nine subimages, based on a 3x3 grid. The example seems to incorrectly pair a fox with a straw hat, but the actual image includes different combinations. For instance, the top left shows a fox in front of a straw sun hat, while other animals like an elephant, raccoon, hamster, and bald eagle are set against varying objects like bicycles, umbrellas, clapperboards, and a map. I’ll make sure to carefully match the animals to their backgrounds based on this.
Oh, switching models is a great idea. No access to 4.1 in the chat interface (apparently it’s API-only, at least for now). And as far as I know, 4o is the only released model with native image generation.
4o → 4.5: success (in describing the image correctly)
4o → o4-mini-high (‘great at visual reasoning’): success
o4-mini-high’s reasoning summary was interesting (bolding mine):