paratexts, light blasphemy 

I haven't even played the goose game so maybe this is explicitly referenced in there, but still, wow (from Armstrong, Edward A. “The Symbolism of the Swan and the Goose.” Folklore, vol. 55, no. 2, 1944, pp. 54–58. JSTOR,

a very simplified rendition of smorgasburg (the open air food market in prospect park)

playing around in bitsy, trying to make a game about prospect park

the umap plots for BPEmb's multi-language embeddings look like someone literally spilled some language on the floor

using that variational autoencoder I trained on 1m lines of poetry—making a poetic form I'm going to call the "variational sestinoid," which forms its stanzas from samples in progressively larger circles centered on the same point in the latent space

christianity, video games, light sacrilege 

hiking, los angeles 

if you think you're having a bad day, why, just look at the impropriety in which these youngsters have found themselves entangled

someone in the ravine area of prospect park is playing the recorder and i'm here for it (recordist not pictured bc i assume they are an invisible forest sylph)

the main trade-off of training a VAE is reconstruction fidelity vs. structure of the latent space, and the epoch 3 version of this model was much "better" at reconstructing arbitrary inputs. at epoch 12, it reconstructs inputs to appear more like the training data, which I kind of prefer? here's smashmouth again with reconstructions from this model

picking a random point in the latent space, then doing greedy decoding from various randomly selected nearby points (essentially generating variations on a line)—

greedy decoding from random samples at epoch 12, just at the right point before the model started to collapse. these are actually sorta... breathtaking?

now training a variational autoencoder neural network on the gutenberg poetry corpus but with pre-trained subword embeddings—it's MUCH better at reconstructing inputs now—here's a reconstruction of a little number you might know

i don't know why people say software engineering is difficult. just get the code cube to unlock the area leading to the boss. even kirby understands the basics

photos of people w/ec, marketing email 

COCO captions have to be the weirdest corpus commonly used in machine learning. just normal people describing normal things

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