Comment by rnd33
7 hours ago
Intelligence is compression, compression requires subtraction, and for some reason LLMs are not good at subtracting. To create a coherent model you kinda have to subtract correlations until only the essential parts are still there.
What I don't understand is why LLMs haven't been able to do this yet, if it's the harness or some orchestration layer above the LLM that is needed. Because fundamentally if you can identify correlations then it's just another small step to prioritize and remove lower value or irrelevant correlations.
I wonder if what's needed is to introduce subtraction tokens in some sense, and in post-training reward the model on that.
Intelligence is compression? What do you mean? Intuitively that doesn't seem right.
>What I don't understand is why LLMs haven't been able to do this yet
LLMs are just trained on what humans have said. Why is it surprising that it's still not possible to reconstruct the intelligence that wrote all that by working backwards? Think of your own work experience. When you look at a piece of code, say, are you always able to discern why the person did what they did, just from the code, with no additional context?
I guess they mean that intelligence is being able to hold models (compressed versions of reality) internally and use them to make predictions with a probability better than chance. That last part is the definition of information.
I find that highly questionable as a general description of what intelligence does. That's more like a description of a general knowledge base. When I think of someone intelligent, I think of someone who's able to draw unexpected connections between seemingly unrelated facts. In the broadest possible terms, I'd call it the ability to make abstractions and analogies. This is not just compression, but the ability to mentally operate on webs of meaning.
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Intelligence is compression
That’s a controversial statement.
I've heard that expression before, but I don't think it can be presented and stated so matter of factly. Where does that put bzip?
bzip is not very intelligent, true, but it does develop some model of its input. It's not like there's a linear relationship between between compression ratio and IQ or anything.
Abstraction is compression, and abstraction is definitely a core component of intelligence.