This market assesses whether a general-purpose AI image-generation model can consistently produce a chess board with pieces in their correct starting positions by July 31, 2025.
Resolution criteria:
Success is defined as generating a proper chess board with all pieces in their correct starting positions 9 out of 10 times using a single prompt
Prompt engineering is allowed, but must be a single prompt fed directly into the model with the first output being considered one attempt
No other layers or post-processing allowed
The model must be a general-purpose AI image generation or multimodal model (not specifically designed for chess)
References:
1,000
3.00
https://sora.com/g/gen_01jq7fmm26eg2v1gfx29yt4rh1
prompt:
chess board initial position, view from above
no numeration
queen and king pieces clearly distinguishable
chess.com style illustration
@AndreiVlasenko yes, very close but imo the queen still isn’t clearly a queen given that it looks closer to the king than the white queen
gpt-4o native image generation (https://sora.com/explore/images) is extremely close
prompt: chess board initial position, view from above
https://sora.com/g/gen_01jq7e3g8vew6baekjxd4zt0gg