This is not meant to be a chatbot.

It is meant to evaluate gaming sessions of CS2 (and/or potentially any VAC enabled game, maybe).

Its an experimental, prototype of improving VAC's serverside, backend analysis capabilities, to better detect cheaters and hackers.

You don't need kernel level access into everyone's pcs.

You can run analytics on what the server records as happening in the game session, to detect odd patterns and things that should be impossible.

LLMs are ... the entire thing that they do is handle massive inputs of data, and then evaluate that data.

The part of an LLM that generates a response, in text form, to that data, is a whole other thing.

They can also output... code, or spreadsheets, or images, or 3d models, or... any other kind of data.

Like say, a printout of suspicious activity in a game session, with statistically derived confidence intervals and timestamps and analysis.

The you have another, differently tuned LLM, ingest the data the first LLM produces, and turn it into something else.

You see the ModelEvaluation and then MetaModelEvaluation?

That looks like what they're doing to me.

Detailed Server Logs -> Model Evaluation -> MetaModelEvaluation.

If you've ever run a dedicated multiplayer server and had to deal with hackers... you're gonna be looking through server logs to sniff out nonsense.

Server-side cheat detection, very oversimplified, is having automatic systems do that.