Reason & Reflection

Ruliology is a fascinating area of study introduced by Stephen Wolfram that focuses on how simple rules can lead to complex outcomes. It makes us think about the big questions in life, especially when we look at examples like Conway's Game of Life. This game is more than just a fun computer simulation; it's a tool that helps us understand deep philosophical concepts. Conway's Game of Life: A Simple Model with Big Ideas The Game of Life is played on a grid where cells turn on (living) or off (dead) based on a few simple rules: 1. Any live cell with fewer than two live neighbors dies, as if caused by underpopulation. 2. Any live cell with two or three live neighbors lives on to the next generation. 3. Any live cell with more than three live neighbors dies, as if caused by overpopulation. 4. Any dead cell with exactly three live neighbors becomes a live cell, as if by reproduction How the rules in Conway's Game of Life are laid out visually Image source: Hirose, Takayu...

Introduction           Recently, I stumbled upon a TEDx talk by Kristian Hammond that really got me thinking. It’s a deep dive into AI and touches on some of the big questions about how machines can reflect human traits like intuition and consciousness. Hammond’s take from five years back feels even more relevant today as we're seeing AI evolve in real-time.  And as always, we're going to take a philosophical look at it. Kristian Hammond discusses the nature of intelligence at TEDxNorthwesternU Image source: "A New Philosophy on Artificial Intelligence | Kristian Hammond | TEDxNorthwesternU" TEDx Talks,  https://www.youtube.com/watch?v=tr9oe2TZiJw&ab_channel=TEDxTalks. AI's Leap Towards Human-Like Wisdom           Kristian Hammond's TEDx talk on artificial intelligence from five years ago offered an insightful look into AI's potential to mirror human qualities like intuition and consciousness. At that time, AI see...

I’ve written before about the distinguishing factors between us and AI through my exploration of the Turing Test here, but that whole discussion made me start to think about AI ‘experience’.  In the realm of AI, the question of experience is a peculiar one. Can machines experience the world like we do? Phenomenology, the study of experiences and consciousness, traditionally zeroes in on human perception. But as AI systems advance, they compel us to ponder: does AI have its own form of experience? Do Machines 'Experience'? Let's be clear: AI doesn't experience emotions or sensations like humans. When your GPS recalculates your route, it's not flustered by the sudden change. Yet, AI does 'experience' the world in data streams, interpreting these inputs through complex algorithms. It 'sees' through cameras, 'hears' through microphones, and 'understands' through code. This mechanical sense of experience is devoid of subjectivity, yet it...