Comment by spennant
11 days ago
I'm working on leveraging NLP and LLM techniques to create a geometry over the discrete space of Ethereum transaction execution structure. (sorry... it's a bit of a mouthful)
The goal is to find on-chain structural anomalies, as well as seeing if clustering by behavior has emergent semantic properties
I think i know where you're going with it, but what is the Why for the semantic properties? Is it to characterize a given address, predict behavior?