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Mead recipe: dilute honey with water, stir twice a day, wait.
Fermentation begins after 24-48 hours. After a week, the fermented honey-wine (mead) can be enjoyed green, low in alcohol yet lively with essence. Or you can let it continue.
Generative-poetry recipe: text-corpus analysed by neural net, wait.
After each reading of the corpus (a.k.a. ‘training epoch’), a neural net can produce/save a model. Think of the model as an ecosystem produced by fermentation, an idea, a bubbling contingency, a knot of flavours, a succulent reservoir, a tangy substrate that represents the contours, topology or intricacies of the source corpus. Early models ( a model is usually produced after the algorithm reads the entire corpus; remember, each reading of the corpus is called an epoch; after 4-7 epochs the models are still young) may be obscure but are often buoyant with energy (like kids mimicking modern dance).
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Eventually fermentation processes halt. In the case of mead, this may occur after a month; with neural nets, a process called simulated annealing intentionally decreases the learning rate every iteration; so the system begins by exploring large features then focuses on details. Eventually the learning rate diminishes to zero. Learning (fermentation) stops.
Jhave articulates a concern of "This Ain't Your Daddy's Concpo"
Concrete is a technological substance: a synthetic hard surface, impermeable, roadworthy. The intention of concrete poetry's founders (Eugen Gomringer in Switzerland and simultaneously the Noigandres group in Brazil) was to differentiate and distance *concrete* from the soft, emotional, labial ambiguity of traditional poetry; an inadvertent side effect of the initial intention is that a residual machismo clings to concrete poetry's exposition. —Aesthetic Animism, p. 26
6 Weird Questions asked in a Wired Way
Disclaimer : MPAA: Mass Produced Artistic Axioms : generative writing for nascent censors
Concrete P. by Jhave. 2011
“Remember, these are evolutionary amoebas, toddlers just learning to babble. The amazing thing is that without being given any syntax rules, they are speaking, generating a kind of prototypical glossolalia poem, character by character. Note: models are like wines, idiosyncratic reservoirs, the output of each has a distinct taste, — some have mastered open lines, others mutter densely, many mangle words to make neologisms — each has obsessions. The Wavenet algorithm is analogous to a winery: its processes ensure that all of the models are similar. Tensorflow is the local region; recursive neural nets form the ecosystem. The corpus is the grapes.“
A sonic mashup engine built for spoken word and Pennsound archives.
After you click a few boxes to get some tracks going, turn on WEAVE on the left and try playing with the threshold, tolerance and pause settings.