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Does anybody know the origins of the Differential Growth algorithm? Is there any paper? I suppose the commonly used algorithm is developed by @inconvergent, but am I missing something?

Deniz x.com

causal estimates produced by observational studies may be labeled “provisional causality,” that is, causality contingent upon the set of assumptions that our causal diagram advertises.

Judea Pearl, Dana Mackenzie • The Book of Why

In a recent work (https://t.co/85LMTeOJPF), we examined whether LLMs are potential sources of probabilistic knowledge (rung 1 of Pearl's hierarchy), which led to the benchmark at https://t.co/Pla35jJSYU. The answer was no, which was surprising and poses fundamental challenges for various downstream tasks and key capabilities (including explanation,... See more

Elias Bareinboim x.com

Developing Computational Agency

kaiton • 26 cards

I am looking for a good Knowledge Graph construction with Neo4J + LLM for better RAG. Can someone point me to a good source? xD

qnguyen3 x.com

Thumbnail of www-x-com-cloneofsimo-status-1875538361974395188-f030233ac00c493b

Amongst many recent discrete diffusion, I found DDPD very interesting. Its unique in a way it naturally decomposes the task into that planner and denoiser (so I implemented minDDPD for imagenet) https://t.co/tIgmp8RIUm

Simo Ryu

x.com

fantastic essay on epistemology humans are coherence-maximisers, not truth-seekers the trouble is that depending on your priors, a coherent explanation - a simple story that fits together well, isn't well correlated with being useful or true - https://t.co/XjutOAjCm5... See more

Imp in New York!

x.com

Jim Simons told us everything needed to be an algo trader (MIT lecture) https://t.co/gHiIZrINiF

Moon Dev x.com

integrity of the system is more important than the truth of one case.

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Judea Pearl, Dana Mackenzie • The Book of Why

Developing Computational Agency

Vibeke Norgaard Martin • 101 Things I Learned® in Law School