miniverse-gtp2

It’s shocking how the network switches from personal narrative to informative third person based on the prompt. I want to experiment more by feeding prompts toeing the line in-between to see any biases in the training set to favor 1 style of writing versus the other.

 

Generated text:

Before leaving to college my mom told me shocking news. My grandmother who is over 90, and doesn’t see eye to eye with any of us, wanted to live with us to help take care of my grandfather. I couldn’t believe it! There is so much emotional baggage that my mom is holding on to that she doesn’t realize she’s causing. The other thing that has gotten me stressed out is her shopping spree! While I was in town she went out shopping and bought clothing for my grandmother that wasn’t in her wardrobe. While I was home she had my grandfather take her

another example:

He was impeached. [97] [98] He died in London in 1866, unmarried. He was second son of Charles Gavan Duffy, and brother of Charles Gavan Duffy, 18th Baron Ardee. “The Mannings of San Francisco” (published 1898) includes an account of this group of characters. The words used here are taken from the 1884 memoirs of Mary and Tom Manning, which were originally published in the “San Francisco News”.

miniverse-pix2pix

 

My guess on how these models were trained is that an edge detection algorithm was run on cat images and that input was fed into the model and the output was expected to be the original cat image. As such, this model won’t produce realistic cat features with hand drawings alluding to them. In the image below the triangle eyes are just converted to fur instead of eyes. The same lack of recognizing hand drawn features persists. Still a fun tool though.

08-artbreeder

I played with this tool. Crossing the midway when determining cross breed proportions causes more change than any other shift in position. The breeder is very good at  creating believable images, to which it sacrifices user control on the combination process. The more dissimilar the more the product is unpredictable.

miniverse-facereadings

  1. Facial recognition algorithms used in policing are entirely based on training data. Preexisting racial bias in police provided data is contributing to weaponizing facial recognition to target poor people and minorities. Furthermore, because computer algorithms are “logical” and “correct” it canonizes biases.
  2. I like the toast fooling the facial recognition algorithms. It reminds me of “adversarial machine learning” where structured noise can completely fool a facial recognition model. It points out the flaws in these systems and makes it clear they are far from perfect.

miniverse-mobiletelematic

This project allows users to collectively cook and eat a stew with their friends.

To address the local versus remote principle, this project is made for people far away. Cooking is an intimate task of creation that requires being in the same place with resources. During quarantine people who would cook together can’t. This is to help simulate that bond.

My process:

  • made the sketch
  • made some assets
  • pulled them up and fixed the orientation and interaction
  • added the ability for other people to contribute to the soup

My sketch:

 

 

 

 

 

 

 

 

 

Project Gif:

 

 

 

 

 

 

 

game link:

https://collaborative-kitchen.glitch.me/

this is a two person game. Crash the server with this link:

https://collaborative-kitchen.glitch.me/?crash

video:

 

miniverse-SoliSandbox

This is a project linking the soli swiping motion to unleashing the plague on an unsuspecting group of believers. The current enabled plagues: plague of frogs, hail, and death to the first born.

I learned how to use physics and collision physics to implement real world feeling game dynamics.

code:

https://glitch.com/~plagues

(the cites for the sounds are at the top of the code)

for some reason, can’t export my screen recording off of pixel. It keeps failing. So here’s the video made off of the desktop version of the app.:

miniverse-soli-checkin

https://www.youtube.com/watch?v=B64Xl1yx_M8soli check in

 

 

The user is “god”.  If they swipe, they unleash a plague onto their believers.

right now I worked out the collision physics but I need to import some assets to make the plagues functional and the background pretty. (replace the black circles with hail, frogs, locusts, flies).

Laundry list of tasks in order of importance:

  • make perspective less western
  • make/import assets for: hail, frogs, locusts, flies
  • switch out circles for hail and frogs
  • cut springs to make the “death” of characters
  • hook up swarming demo for locusts and flies plague
  • make a sun, let it break for the darkness plague
  • import clothing assets and more traditionally female looking body parts
  • make animals? for the animal pestilence plague

miniverse-sketches

I like this one the best. The user is “god”. They receive a world per swipe. If they tap, they unleash a plague onto their believers and increase piety. If their presence is detected, people stop and pray. Otherwise, they go about their business and build the world. If god swipes, they get another randomly generated set of believers moseying around

This game is zoo: the user is given a set of animals they can swipe through. They need to figure out which interaction which will yeild a positive reaction from the creature given. pat the dog, let the snake setting down (here a negative interaction works). Stay where the bear can see you, or it will attack, etc.

A relaxing game where the user is given a zen garden. They tap to add or remove random features. They swipe to get a new garden. And their presence activates wind, rain, natural forces.

miniverse-CriticalInterface

Favorite tenent:

“The interface collects traces: traces and remains of all agents/agencies which converge in it.”

In the examples I read, it discussed ways to avoid being tracked or checked by programs. This is literally what CIA, Facebook, virtually any top tier CS company does: They make money off of our traces. The ways to avoid this were mitigatory. There was no way to completely erase one’s self from an interface. This happens with or without my consent and I can’t take it back. This tenant isn’t even embedded into just interfaces. It is inherent to the internet itself. Internet Protocol guarantees what I do on this domain is public knowledge and recorded.