Professor Judea Pearl — the pioneer who invented causal reasoning in AI — says scaling won't save us.
"Mathematical limitations that are not crossable by scaling up."
The brutal truth: LLMs aren’t learning how the world works. They are learning how we describe the world.
This resonates with most biologists: Drug discovery is hitting the same wall. We have mountains of genomic data, but most AI models just find patterns in published papers — not in the raw biology itself. They're learning what scientists think causes disease, not what actually does.
Pearl's causal revolution? That's how we move from "this gene correlates with cancer" to "this gene causes cancer" — and finally design drugs that work.
Until then, we're building very expensive parrots.
I will be selling my CryptoPunk this week as I need to use the money to buy a house.
Not a decision I wanted to do, but no bank will allow me to borrow because my work is crypto.
If you know anyone who would be interested, feel free to DM me.
End of an era.