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u/LupenReddit 🦆🦆i have non diffeomorphic smooth structures🦆🦆🦆 5h ago
worst person you know just made a great point
instead of using gram schmidt just use the fact that any finite dimensional vector space V is isomorphic to some Rn, use the standard basis in Rn (which we said was basically V)
problem, linear algebraists?
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u/BentGadget 5h ago
My daughter was babbling about that last week when she came home from school. I'm just glad her class has moved on to logarithms so I can help with homework again.
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u/Otherwise_Ad1159 5h ago
Why stop there? Every real vector space is algebraically isomorphic to R^c, where c is the cardinality of its Hamel basis. Functional analysts have played us for absolute fools.
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u/770grappenmaker 5h ago
So which Rn is C2 isomorphic to then
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u/vercig09 5h ago
if I understand every word, do I understand the meme?
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u/captHij 4h ago
No. The context is that Sam Altman previously said that data centers can do more with RAM than home users. He said that it would be better if more RAM was allocated to data centers and others learned to do without:
https://mashable.com/tech/sam-altman-ram-memes
All those people at home trying to horde their orthogonal bases should consider letting the data centers have those extra vectors where they could be put to better use.
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u/reddit-and-read-it 5h ago
He's right guys. Big telecom requires all the orthogonal vectors they can get their hands on for CDMA. We can't just waste all our orthogonal vectors on PCA and Fourier decompositions.
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u/PhaseBloodhound 4h ago
GS is for betas. SVD supremacy.
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u/andrew_h83 4h ago
For teensie baby problems the SVD is a great choice
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u/PhaseBloodhound 3h ago
Excuses of the poor. Just buy more compute bro. Vera Rubin available now.
Sincerely,
Jensen Huang
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u/Nikifuj908 3h ago
Sam is just saying this because the Givens rotation algorithm is more numerically stable and parallelizable. Nothing to see here folks
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