[ajcp]

Did you try providing 2D vectors of where each object relates to every other object? Seems like the most obvious way.

In my experience the current generation of models are very poor at spatial reasoning even when given accurate coordinate based location assignments of each object. But I suspect when a model can build the whole relationship of all objects by being given those spatial relationships in a vector they will be much better.

[martbakler]

We did discuss this at some point but didn't end up trying it out. I think it's quite an interesting avenue and worth a shot, my intuition also says that the spatial capabilities will improve if the model has more access to relative info and doesn't need to infer it from absolute coordinates

[pyinstallwoes]

Given vector space on text is more of a spatial space of semantic distance then spatial distance of geometric objects intuitively feel of a different nature due to the fact that words are not at all likely to be represented in similar ratios of distances.

I think a tokenization of ratios between perceived boundaries might help. But, I’m just shooting in the dark.

[ajcp]

You're conflating the use of vectors to only mean how they relate to semantic meaning. As vectors are just spatial relationships, in the case of objects in Factorio we could provide the vectors for every single object as to how they relate to every single other object in literal 2D space. This would essentially provide the LLM a complete relationship mapping, since it is not able to do it by "seeing" a picture or by providing it with absolute coordinates.

[pyinstallwoes]

Yeah but that’s a biased approximation at the cost of an assumption in equivalence and not truth distills equivalent in ratio. You’d have to treat tokens at some universal distance if one unit to approximate some unit of measurement along hwd/magnitude.

Overall visual perception is about noticing comparative differences not measuring absolute quantity.