Comment by copperx
1 year ago
But there could be a simple explanation. For example, they could have tested many "engines" when developing function calling and they just left them in there. They just happened to connect to a basic chess playing algorithm and nothing sophisticated.
Also, it makes a lot of sense if you expect people to play chess against the LLM, especially if you are later training future models on the chats.
This still requires a lot of coincidences, like they chose to use a terrible chess engine for their external tool (why?), they left it on in the background for all calls via all APIs for only gpt-3.5-turbo-instruct (why?), they see business value in this specific model being good at chess vs other things (why?).
You say it makes sense but how does it make sense for OpenAI to add overhead to all of its API calls for the super niche case of people playing 1800 ELO chess/chat bots? (that often play illegal moves, you can go try it yourself)