[exhaze]

I wasn’t aware of others attempting manifolds for this before - just something I stumbled upon independently. To me the “eerie” part is the thought of an LLM no longer using human language to reason - it’s like something out of a sci fi movie where humans encounter an alien species that thinks in a way that humans cannot even comprehend due to biological limitations.

I am hopeful that progress in mechanistic interpretability will serve as a healthy counterbalance to this approach when it comes to explainability.. though I kinda worry that at a certain point it may be that something resembling a scaling law puts an upper bound on even that.

[joegibbs]

Is it really alien or is it more similar to how we think? We don't think purely in language, it's more a kind of soup of language, sounds, images, emotions and senses that we then turn into language when we communicate with each other.

[qnleigh]

> it’s like something out of a sci fi movie where humans encounter an alien species that thinks in a way that humans cannot even comprehend due to biological limitations.

I've increasingly felt this since GPT2 wrote that news piece about unicorns back in 2019. These models are still so mysterious, when you think about it. They can often solve decently complex math problems, but routinely fail at counting. Many have learned surprising skills like chess, but only when prompted in very specific ways. Their emergent abilities constantly surprise us and we have no idea how they really work internally.

So the idea that they reason using something other than human language feels unsurprising, but only because everything about it is surprising.

[sooheon]

I remember (apocryphal?) Microsoft's chatbot developing pidgin to communicate to other chatbots. Every layer of the NN except the first and last already "think" in latent space, is this surprising?