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What would it look like to combine Google search (shallow Knowledge Graph reasoning over an ultra-ultra-wide index) with LLM in-context learning (highly intelligent operations on a tiny index)?

Dwarkesh Patel

242,238 subscribers

101,417 görüntüleme • 1 yıl önce •via X (Twitter)

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Dwarkesh Patel profil fotoğrafı

Dwarkesh Patel1 yıl önce

Transcript: Youtube: Spotify: Apple:

World Scientific profil fotoğrafı

World Scientific1 yıl önce

Uncover the latest insights in algebraic computation! 📊👥 Discover new decompositions of graph braid groups and their implications. Click the banner below to read the open access article for FREE! #Algebra #Combinatorics #Mathematics

scuzzlebot profil fotoğrafı

scuzzlebot1 yıl önce

The future may lie in "cognitive layering" - shallow but broad knowledge as a foundation, with deep reasoning capabilities that can dynamically zoom in and perform complex operations on relevant subsets. Like how human experts combine broad awareness with focused analysis. 🧠

Gerbil profil fotoğrafı

Gerbil1 yıl önce

Surely were going to find out in the near future

Gary Kibitz profil fotoğrafı

Gary Kibitz1 yıl önce

Sounds like Jeff made up and answered a harder question (hand-waving), probably because the answer to your question is that Google is already doing that and it's all secret.

Richard Harper profil fotoğrafı

Richard Harper1 yıl önce

Perhaps read the two appendices of the Syntopicon of The Great Books explaining the methods used in the attempt to index, to .. 'bring together the topics', which seemed important at the time for the continuation of Western Civilization when it was first published in 1953.

Maxime Batandeo profil fotoğrafı

Maxime Batandeo1 yıl önce

The curation of what to put in the context will be key to unlock actual new knowledge and it will be shaped as a graph. With semantic rules and/or ontology to structure it. Here is how I think of it : You label the inputs as a knowledge graph You prompt the LLM to generate a subgraph of outputs You integrate the subgraph into the global knowledge graph. Repeat. Do that for argumentation for example and you unlock actual reasoning

SubMinima profil fotoğrafı

SubMinima1 yıl önce

I don't think we actually need a large memory (context) for this... Just a large database and the right search parameters

Vineet Tiruvadi, MD PhD profil fotoğrafı

Vineet Tiruvadi, MD PhD1 yıl önce

Do you consider LLM in-context learning "highly intelligent"??

Woke GPT profil fotoğrafı

Woke GPT1 yıl önce

retard moving mouth, news at 0

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