A Perceptron in Age of Empires II

I need to try this. Age of Empires II was never really on my radar until I recently learned it's engine is the basis for another game I'm a fan of - Star Wars: Galactic Battlegrounds. It's one of two RTS games released in 2001 that I've spent a lot of time on, with the other one being Emperor: Battle for Dune.

Age of Empires II had a creative map editor, where you could "program" via triggers and effects. It wasn't as in depth as the blizzard games which you could write code, but was easier to use. You could make a trigger (ie. units in this area, time passed, number of units on the field, build a building, etc) then effect (ie spawn unit, move unit, kill something, etc). Which was used in custom maps to do all sorts of fun games. Or like here you can make a nand gate by moving units around.

> In-game constructions of NAND gates and a perceptron (forward prop and training) as described in in 'If LLMs Have Human-Like Attributes, Then So Does Age of Empires II'.

Interesting concept

> We begin by proving that Age of Empires II is functionally- and Turing- complete. Then we build a perceptron and a circuit to train it in-game. With that, we argue that changing the substrate (representation) of an LLM also alters the perception of their attributes.

This is fun, but I don't think it's particularly surprising. A substrate being turing-complete alone is enough evidence that you can train and run a perception on it, assuming the available memory is sufficient.

> We then show that research in LLM anthropomorphic attributes cannot be done starting by assuming that these attributes exist (or not) in the system; even if you aim to conclude that they do not exist. This assumption can happen even when you do not make it explicitly! It also shows that there are ways to do good, sound research without needing to make that assumption.

I... don't see how this follows? I wanted to see how this argument unfolded, but it seems the arxiv link on this page is broken? It just links to arxiv.org and the rest of what is on this linked page doesn't seem to cover this second assertion at all.

The actual paper is linked above, and of course it’s bad. The gates are awesome ofc, but the paper’s philosophy is arrogant and uninformed (sorry Mr. Wynter!). And that’s what this is — including a video game example in your philosophy paper doesn’t make it a CS paper!

Basically it uses the cool gates alongside vacuous statements like this…

  Hence, the purported anthropomorphic attributes of LLMs are empirically non-unique: although some properties (e.g., responses to prompts) could remain invariant, others, such as the interpretation of their perceived behaviour, might change with the substrate.

…to disguise the underlying dogma, which serves as an unsupported conclusion: humans are assumed to be completely entirely unique in every way whatsoever, and any equations of parts of our wonderful ensouled meat sacks to parts of the wicked language machines must be supported by a proof that A != A.

Which, y’know… is a tough one!

Isn’t the entire paper is trying to point out that the second you ask the question “Do LLM have ”, you have to assume that they do, even before you make any assessment?

Just because the person asking the question isn’t aware of they’re implicitly making that assumption, doesn’t change the fact that a logical assumption has been made. It just makes the questioner ignorant of the assumptions they’re making.

Personally don’t totally understand the argument being made in the paper. But I can understand the idea that I can ask a question, without properly understanding the assumptions I’m making when asking the questions. Indeed I can also understand that I might not even notice the assumptions I’ve made with my question, and why that would make my entire exploration and conclusion invalid, _after_ doing the investigation. Logical fallacies can be really difficult to spot and understand.