i tore this apart this morning, the gist:
- yes, it separates knowledge from reasoning 🎉
- it substitutes MHA computational complexity for knowledge graph schema design 🤔
i’m partly ecstatic, this is huge, but also disappointed bc KG design is largely unsolved
i tore this apart this morning, the gist:
View original threada big problem with the KG tie in is that KGs lose information, a ton
you have to boil everything down to entity-relation-entity triples, and a lot of knowledge (e.g. procedural knowledge) doesn’t fit into that
this probably made a lot more sense in the early days of LLMs
you have to boil everything down to entity-relation-entity triples, and a lot of knowledge (e.g. procedural knowledge) doesn’t fit into that
this probably made a lot more sense in the early days of LLMs
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the achilles heel is that it goes against the bitter lesson
instead of throwing more compute at a problem, we solve it through brain power
but it’s worse. the bitter lesson was in regards to researchers, this would require ALL USERS to have superb KG design skills
that’s a bad scaling dynamic
instead of throwing more compute at a problem, we solve it through brain power
but it’s worse. the bitter lesson was in regards to researchers, this would require ALL USERS to have superb KG design skills
that’s a bad scaling dynamic
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ChatGPT sesh
my process:
1. read the paper, kinda, until i have unfounded confidence on the topic
2. spout my unfounded confidence into an o3-mini-high chat
3. let o3 bring me back to earth, touch grass
chatgpt.com/share/67db6a...
my process:
1. read the paper, kinda, until i have unfounded confidence on the topic
2. spout my unfounded confidence into an o3-mini-high chat
3. let o3 bring me back to earth, touch grass
chatgpt.com/share/67db6a...
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