Will multi-modal AI be able to describe the state of a chessboard from an image before 2026?

The AI has to unambiguously describe the state of the board by listing/describing the location of all chess pieces.

Images will be sourced from the lichess.com 2D chessboards, about 10-30 moves into the game.

A narrow AI trained specifically for this task is excluded from this market.

The spirit of the market is about vision capability of multi-modal AI.

In the case of uncertainty / suspicion of something shady going on, I reserve the right conduct replication / resolve to the best of my judgement.

The market resolves as YES if the AI is 100% correct for 5 out of 5 images of a chessboard it has been tested on. Otherwise, it resolves as NO.

I will not bet on this market.

Example image:

I will describe the task, then as a second step I provide the image to make the task easier for the AI given their auto-regressive nature. Prompt will look like this, each in a separate session:

Thanks for the feedback to @MrLuke255