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Tramontana app can also send phone sensor data as OSC messages so it can work w
@Sonic_Pi too
Heres accelerometer changing notes (sound on!)pic.twitter.com/sdNY9spEHqPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Playing w Tramontana library for
@p5xjs Can send sensor data from your phone into p5 sketch. This one uses accelerometer to change arc of ellipse Learn more here https://tramontana.xyz pic.twitter.com/Kf7txNCv7EHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
1st day in class adding sound to
@p5xjs sketches w/@makeymakey Ss create a doorbell using pencil drawings as a trigger for the sound and accompanying visual#csed#physicalcomputing Turn Sound On!pic.twitter.com/iweh8wXZsrHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Were talking about this exact idea within the music industry in class right now using Old Town Road as an example. Will def be playing this clip in class
@HipHopNumbers Do you have the stats on lyrics rapped vs sung on IGOR to help put some statistical context to this argument?https://twitter.com/itsOddFuture/status/1221635664300650497 …
1:19Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mister Bomb proslijedio/la je Tweet
We are back! The FULL SCHEDULE of talks, workshops, discussions, performances for Processing Community Day NYC 2020 Feb 8 at The New School University Center is online now! Attendance is free if you register by January 30, including meals! http://processing.nyc/2020
#pcdnyc#pcd2020Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Color was a bit counter intuitive to figure out but some of them got itpic.twitter.com/2h0FR1qJvu
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Also had students sketch out their ideas before writing the codepic.twitter.com/Z5HimT2jAv
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More w/
@p5xjs &@makeymakey Ss made a shape & animated a change in shape using keypress Then made playdoh version of changed shape Watch shape in screen change to playdoh shape when touched#physicalcomputingpic.twitter.com/T1dKWFTw3EPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Teaching some basic physical computing w
@makeymakey &@p5xjs Making playdoh shapes in real life then making them appear on screen when you touch them. Ss got so excited when they made it work!pic.twitter.com/I5vBrrftkXHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
So excited to introduce
@makeymakey in class today! This case from Michaels is a great way to store multiple setspic.twitter.com/DzYuNLlfef
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If you like this, check this project by
@teropa It uses the same Drum#RNN model Its a Neural drum machine that generates the rest of a drumbeat based on the 1st part you give it More interactive & visually pleasing & you can check out the source code
https://codepen.io/teropa/full/RMGxOQ/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Heres another example that alternates between the beat used for as a training example & the resulting generated beat
#MadeWithMagentapic.twitter.com/h8VODhSqxyPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Using
@GoogleMagenta Drum#RNN#MachineLearning model to generate drumbeats in@p5xjs then sending MIDI info via OSC into@Sonic_Pi pi to change beats in real time. Using key presses to generate beat, extract midi info & send message. Slider changes Temp#MadeWithMagentapic.twitter.com/37vzdxOampPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Again, the purpose of this thread is an exercise in considering the ramifications of creative uses of ML/AI to create discussion questions that can be used in a classroom setting to make students consider the implications of using this tech as a tool to make artistic work
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On a larger scale, what responsibility is there when making a project trained on data that has certain cultural significance for a particular community? Can the output of these models be viewed as disrespectful or insensitive? How can this be avoided?
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Rap music has been critiqued as being simplistic, formulaic, lazy or in some cases not ‘real’ music at all. If models are trained that can successfully recreate this music, could that have an adverse effect of being used as evidence to further support this narrative?
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Potential for collaboration? Could ML generated graffiti images be painted by Graffiti artists? Would rappers be willing to rhyme on AI generated beats? Could DJs use sentiment analysis to decide what track is best to play at a given moment? Would this be viewed as inauthentic?
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Graffiti & Hip Hop as an artform is critical of authenticity. Would projects like this be respected by the community? Is authenticity something that can ever be achieved by generative models? What defines authenticity? How would we know if output has reached that level?
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