The methodology Meta is applying is really good. But your analysis shows that the thinking behind it is completely wrong: Already the title of the paper show it. No it isn't a "World Model" not even a "World Model of Code" probably not even a "World Model of Python" (not that the term would make then any sense as it nieche model is the opposite of a world model and the methodology is definitely not a way to build a LLM that has a "Model of the World" no matter how many nieched where it could be applied would be integrated in a model. At least it makes coding modules better, one language at the time. But still it is massively over promising and the opposite of a path for AI model generalization...
The methodology Meta is applying is really good. But your analysis shows that the thinking behind it is completely wrong: Already the title of the paper show it. No it isn't a "World Model" not even a "World Model of Code" probably not even a "World Model of Python" (not that the term would make then any sense as it nieche model is the opposite of a world model and the methodology is definitely not a way to build a LLM that has a "Model of the World" no matter how many nieched where it could be applied would be integrated in a model. At least it makes coding modules better, one language at the time. But still it is massively over promising and the opposite of a path for AI model generalization...
Yes