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A comment on Tokens are a big reason today's generative AI falls short. Parent comment

Re:Tokens are a big reason today's generative AI falls short by bubblyworld on Monday July 08, 2024 @03:58AM (#40903458)
Are you confusing me with someone else? When I asked it GPT computed the homology from the CW decomposition of RP^2 with three cells. Which is a very simple exercise.

I recommend that you give it a try.

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Re:Tokens are a big reason today's generative AI falls short by soist on Thursday July 11, 2024 @01:34AM (#40933940)
That's ok. It seems like LLMs know all about simplicial complexes and homology so I'll spend my time on more fruitful endeavors but thanks for the advice.
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Re:Tokens are a big reason today's generative AI falls short by bubblyworld on Thursday July 11, 2024 @07:32AM (#40935526)
To be fair, it's not a simplicial complex, but simplicial and cellular homology coincide on triangulatable spaces like RP^2 so I gave it the benefit of the doubt =) algebraic topology is a pretty fun field regardless of how much a language model knows about it IMO.
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Re:Tokens are a big reason today's generative AI falls short by soist on Friday July 12, 2024 @09:39AM (#40945474)
Do you have a reference for this equivalency?
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Re:Tokens are a big reason today's generative AI falls short by bubblyworld on Thursday July 18, 2024 @06:04PM (#41000190)
It's in Hatcher iirc
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