I get the feeling that tensors are really rubber ducks in disguise, since I am going

squeeze().unsqueeze()
squeeze().unsqueeze()
squeeze().unsqueeze()

all day long.

"What it basically means is to change the perception of reality of every American to such an extent that despite the abundance of information no-one is able to come to sensible conclusions..." #1984
youtu.be/zgmg2VFX058?t=4113

I am very thankful that @MassiveAttackUK@twitter.com asked me to collaborate with them on this important project.

I tried to not to drown the message in the visuals but still get your attention. My hope is that I make you stop watching and start listening instead.

Ah, the cat is out of the bag. 😊

RT @MassiveAttackUK@twitter.com


> generative art @quasimondo@twitter.com

πŸ¦πŸ”—: twitter.com/MassiveAttackUK/st

My yearly reminder: if you are on a journey it doesn't matter that you end up where you planned to go, but whom you meet on the road.

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I tried out this suggestion by @WangBinxu@twitter.com and it feels like skipping the class embedding and searching directly in 256d space (but still across all classes) makes the search inside of less erratic.

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RT @WangBinxu@twitter.com

@quasimondo@twitter.com @joar_lj@twitter.com So I think in some versions of BigGAN (like BigGAN deep) the 1000 d class vector is mapped to a 128d embedding space to do generation. Do you think it could work better if you optimize the code in the 128+128=256d space?(I'm Exp with this too!)

πŸ¦πŸ”—: twitter.com/WangBinxu/status/1

Going viral on twitter, literally.

RT @newsycombinator@twitter.com

A β€˜viral’ new bird song in Canada is causing sparrows to change their tune gizmodo.com/a-viral-new-bird-s

πŸ¦πŸ”—: twitter.com/newsycombinator/st

Probably it's just me, but I see some correlations here. (Be assured that there has been no contamination with any Franz Marc bytes in the whole process).

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How about "Everybody who wears a mask gets an edit button" instead?

RT @Twitter@twitter.com

You can have an edit button when everyone wears a mask

πŸ¦πŸ”—: twitter.com/Twitter/status/127

It took my model a second to make these, but it took me a lifetime to learn how to make a model like this.

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My new model makes it really hard to decide what to throw away, when the worst results I get look like this.

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