Thinking about Artificial General Intelligence

About this blog

It's been around three years since I left academia for the standard reasons of it being an inhumane system. However, I never stopped wanting to do research, and all the ideas and inspirations ignited during my PhD still sometimes keep me awake at night. So intelligent people told me to write it down when it keeps me from sleeping. And this is where we are now.

Hopefully, this will be a comprehensive collection of thoughts about the basis of general intelligence and how to achieve it with an artificial system. As I currently don't have the possibility to build such systems and do research on them, it will always stay a relatively high-level discussion. I still hope to spark some ideas on the larger concepts, and I am happy about anyone wanting to share their thoughts or a related good read they encountered. Maybe together, we will find some of the puzzle pieces toward real AGI.

I strongly advice to read the articles from old to new to get the line of thought!

Anyone who thinks about AI and its potential consciousness stumbles over the Pain Question sooner or later. In this article, I offer an interpretation of pain rooted in functionalism and Buddhism that nicely outmaneuvres the uncertainty of phenomenal consciousness.

We've now assembled three architectural components that seem necessary for phenomenal consciousness: attention mechanisms that monitor processing, pre-structured topologies that create distinct phenomenal qualities, and hierarchical objective functions that assign valence and generate drive. We've also touched on something remarkable: through...

We now have two pieces of the puzzle: attention mechanisms that allow monitoring of processing, and pre-structured topologies that create distinct phenomenal qualities. But something crucial is still missing. Pain isn't just information about tissue damage. It isn't just a distinct phenomenal quality processed through specialized architecture....

The attention mechanism explains how phenomenal consciousness manifests - through monitoring our own processing. But it doesn't yet explain why different experiences have such radically different phenomenal qualities. Why does red look so different from how C-sharp sounds, even though both are ultimately just neural activation patterns? Why does...

If qualia were actually without function as those philosophers suggest, we would never be able to deduce whether ChatGPT actually feels something in the background of all its processing. We however doubt this conclusion. The key lies in understanding a specific functional difference between biological and artificial neural networks - one that might...

Consider a modern GPU running a neural network trained to classify whether movie scenes are sad or funny. Millions of transistors switch states, electrical signals propagate through layers of artificial neurons, performing mathematical operations on matrices of numbers. The network successfully identifies sad scenes - detecting minor key music,...

The modern high point of the discussion around phenomenal consciousness began in the second half of the 20th century. In the 1970s Thomas Nagel sparked a new wave with his essay What is it like to be a bat?. Stating that Consciousness has an essentially subjective character that cannot be captured by objective, third-person scientific descriptions....

As long as the idea of AI exists the question if it has or can have consciousness arises. If you've tried to discuss whether AI is conscious, you've probably felt the conversation going in circles. Arguments seem to slide past each other, people talk at cross purposes, and you never quite feel like you've gotten a solid grip on the...

Predictive Mind Theory is a very charming theory introduced by Jakob Hohwy, which aims to identify a simple mechanism with the ability to explain the fundamental workings of our brain, both overall and in detail. We will look into how this theory explains some interesting perks of human intelligence and how this can be transferred both to...

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