https://sifter.org/~simon/journal/20230521.h.html
AI: Hello World
(h/t some recent conversations w/friends here.)
AI: Hello World
(h/t some recent conversations w/friends here.)
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https://sifter.org/~simon/journal/20230929.html
Paper Review: Relative gradient optimization of the Jacobian term in unsupervised deep learning
Paper Review: Relative gradient optimization of the Jacobian term in unsupervised deep learning
I wonder how many people's New Years Resolution is: Be more sociopathic.
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Out-of-band recommendation: https://www.youtube.com/watch?v=mUH4Co2wE-I
(The title is meh. Listen to the first few minutes and decide..)
(The title is meh. Listen to the first few minutes and decide..)
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If y'all have an android device and feel like contributing some audio/accent samples to my very-beta language app, see https://sifter.org/lingozap and try whatever the latest version is. Go to menu->Contribute (once you've selected your native-accent origin location on the map). Currently could use samples for English, Spanish, Thai, Indonesian, and Icelandic, so if you're a native speaker of any of those or know anyone who is...
Right now it's just the numbers 0-19 (or for English, numbers generally including ordinals, etc) as a simple test case. Once there are enough samples in each language it will become available to learn (right now, only English). (Also, I advise setting a username and password, which while not strictly necessary will let you sync between devices, recover your state, and manage your samples/credits down the road.)
Right now it's just the numbers 0-19 (or for English, numbers generally including ordinals, etc) as a simple test case. Once there are enough samples in each language it will become available to learn (right now, only English). (Also, I advise setting a username and password, which while not strictly necessary will let you sync between devices, recover your state, and manage your samples/credits down the road.)
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