This note was written around Christmastime 2021 (hence the Christmas theme) as my initial thoughts after figuring out that predictive coding networks could be straightforwardly adapted to perform causal inference. I intended to write this up into a proper paper and do more experiments verifying it works at scale as...
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Scaffolded LLMs as natural language computers
Recently, LLM-based agents have been all the rage – with projects like AutoGPT showing how easy it is to wrap an LLM in a simple agentic loop and prompt it to achieve real-world tasks. More generally, we can think about the class of ‘scaffolded’ 1 LLM systems – which wrap...
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The singularity as cognitive decoupling
An interesting way I like to think about the singularity is as the cognitive decoupling. Specifically, the singularity is the final industrial revolution that lets capital be converted directly into intellectual labour 1. The first industrial revolution occurred when capital became convertible into manual energy – i.e. humanity learned to...
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Why GOFAI failed
Now that deep learning has been fully victorious and the reasons for its victory have started to be understood, it is interesting to revisit some old debates and return to the question of why GOFAI failed with a new perspective.
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My PhD experience
Originally written in early 2021 while writing up my thesis. Never got around to publishing it on my blog then. I think it might be interesting to people wanting to see what a PhD looks like from the ‘inside’. Note that everyone’s PhD experience is highly personal to them and...
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