The first was gpt-3.5-turbo-instruct’s ability to play chess at 1800 Elo. The fact that an LLM could learn to play chess well from random text scraped off the internet seemed almost magical.
Yes, in this recent OpenAI superalignment paper they said that GPT-4′s training dataset included a dataset of chess games filtered for players with greater than 1800 Elo. Given gpt-3.5-turbo-instruct’s ability, I’m guessing that its dataset included a similar collection.
I think OpenAI models are intentionally trained on a ton of chess.
Yes, in this recent OpenAI superalignment paper they said that GPT-4′s training dataset included a dataset of chess games filtered for players with greater than 1800 Elo. Given gpt-3.5-turbo-instruct’s ability, I’m guessing that its dataset included a similar collection.