The Boundaries of Objectivity

Prolegomena

A Guidebook for This Site

Kingdom of Mind

Path to AGI ends in a Cornfield October, 2025

By 1957-58, the seeds for the greatest division in AI had already been sewn: Symbolic AI, as exemplified by Newell and Simon's General Problem Solver (1957), and Probabilistic AI, as exemplified by Papert's Perceptrons (1958). By the 1980s, the Symbolic AI movement had stalled, and after a very late start Probabilistic AI has also stalled. Over half a century later, neither approach have even provided definitions for their highest goals: Intelligence and Consciousness. By the end of this article, I will tackle providing a definition for both.

ARCHIE

An Orthogonal Approach to Artificial Intelligence February, 2025

The quest for AGI — Artificial General Intelligence, is this epoch's search for the Philosopher's Stone. More resources are currently pursuing AGI than the previous quests, spurred on by the amazing results we see from Neural Network LLMs like GPT. ARCHIE is an application that competes against LLMs as a method for automating Abstract Reasoning.

Speed of Life

Anchoring Orders of Magnitude March, 2024

There are modalities of thinking that don't involve language, but our vocabulary consists of concepts we arrange and rearrange while trying to navigate the world. We know language is the basis for communicating with others, but the dual role of words is often overlooked. When exploring a "thought-space," if we encounter something truly new, we need to create a word for it, to act as a map to find our way back. And to tell others. The language of large numbers is no exception.

Black Boxes Were Made to be Opened...

By Creating a CT Scan of a Neural Network February, 2024

Like Artificial Sweeteners, Artificial Intelligence comes in many forms and flavors. And AI will be as incorporated into our daily lives as Splenda. But can the current incarnation of Machine Learning result in a conscious super-intelligence? One that may present an existential threat to humanity? To dig deep into what's possible I built a simple Neural Network and put it through its paces. The results were surprising.

Traveling Salesman Problem

One Milion Dollars if you can Solve it! April, 2024

In 1962 Proctor & Gamble created an advertising campaign, offering a $10,000 prize to whomever submitted the shortest route linking 33 defined US cities. That prize was enough to buy a house at the time. And I missed it.

Finding the shortest route between a set of locations is a class of mathematical problem known as "The Traveling Salesman Problem" or TSP. It is an optimization problem, easily solved when the number of locations is very small, and seemingly impossible with larger sets. In fact, anyone who engineers the "definitive algorithm" for this problem will have solved the P=NP challenge by the Clay Mathematics Institute, and be awarded $1,000,000. Show me the money!