The whole premise of this article hinges on the idea that LLMs have fundamental limitations that they clearly don’t have if you’ve looked at lots of gpt4 examples. For example, it can do scientific thinking if you specifically ask it to, and it can reason about totally new situations outside of the training data based on generalizable models of reality it creates to predict training data. If you are certain these lim…
> clearly don’t have if you’ve looked at lots of gpt4 examples for example, can you fine tune GPT to play chess at ELO 1600 ? If you don't know answer, you are in for surprise.
It's possible that finetuning would basically be training a new network from scratch and the resulting network would forget everything apart from chess. It would be a really interesting experiment, GPT-2 is probably too small but I think llama-7B might be sufficient.