Tyler Neylon

Learn Lua in 15 Minutes

Introduction to Locality-Sensitive Hashing

Locality-sensitive hashing (LSH) is a set of techniques that dramatically speed up search-for-neighbors or near-duplication detection on data. These techniques can be used, for example, to filter out duplicates of scraped web pages at an impressive speed, or to perform near-constant-time lookups of nearby points from…

A Model of a Mind

This article explains a simple model of how minds might work. I’m motivated by the success of AI-based language models to look at the future of digital minds. I’ll present a conceptual data-flow architecture that can account for several key features of minds: the ability to initiate actions (agency), learning…

Self-Replicating Functions

These are notes I’m creating for myself as I explore functions \(f\) that can be written as a sum \(f = g_1 + g_2\) where \(g_1\) and \(g_2\) are shifted and possibly reflected versions of each other, both strongly resembling the original function \(f\) . When a function \(f\) has these properties, I informally call…