Raphaël Bastide, Handmade Deep Dream (2015). If this were a real Deep Dream image these would be dogs probably.
Participants in social media will by now be well aware of the artistic renaissance that has been underway since the release of Google's Deep Dream visualization tool last week. Antony Antonellis' A-Ha Deep Dream captures well the experience of encountering these unsettling images on the internet:
Antony Antonellis, A-ha Deep Dream (2015).
By way of recap: Deep Dream uses a machine vision system typically used to classify images that is tweaked so that it over-analyzes images until it sees objects that aren't "really there." The project was developed by researchers at Google who were interested in the question, how do machines see? Thanks to Deep Dream, we now know that machines see things through a kind of fractal prism that puts doggy faces everywhere.
It seems strange that Google researchers would even need to ask this question, but that's the nature of image classification systems, which generally "learn" through a process of trial and error. As the researchers described it,
we train networks by simply showing them many examples of what we want them to learn, hoping they extract the essence of the matter at hand (e.g., a fork needs a handle and 2-4 tines), and learn to ignore what doesn't matter (a fork can be any shape, size, color or orientation). But how do you check that the network has correctly learned the right features? It can help to visualize the network's representation of a fork.
Protesters in Menlo Park yesterday. (Photo by Gareth Gooch).
Yesterday, Caitlyn Jenner introduced herself to an eager public via a magazine cover, a Twitter account, and a Facebook page. The Twitter account gained a million followers faster than the previous record-holder, Barack Obama, and the Facebook page garnered hundreds of thousands of likes in its first day. Coming a week after the news that IMG had signed Hari Nef (onetime host of Ed Fornieles's NY NY HP HP for Rhizome), the news heralded a new level of public visibility and acceptance for transgender people.
The irony of Caitlyn Jenner's Facebook popularity is that the social media site has such an unsupportive official stance toward name changes in general. The policy not only forbids creating profiles under stage names or personas or alter egos, it forbids profiles under any name that can't be backed up by a legal document, such as identification or a piece of mail. (The rules are different for Pages, such as Jenner's). Facebook is like the right-wing uncle who deliberately misgenders you, on principle.
Last year, Rhizome awarded a $500 microgrant to Lena NW and Costcodreamgurl to create a game "that parodies celebrity status games (i.e. Kim Kardashian: Hollywood... but focuses on the concept of becoming an internet celebrity via social media." Their game is now here, and it carries with it one hell of a trigger warning: "graphic sexual violence, cultural appropriation, scat, bestiality, feminism, patriarchy, sexualization of school shooters, inconsistant use of fonts." Click here to play.
From the artists' statement:
Distaste or disgust involves a rejection of an idea that has been offered for enjoyment.
—Immanuel Kant, Anthropology from a Pragmatic Point of View, 1798
For the first time, this year's Seven on Seven will have an overarching theme offered to participants as a provocation: Empathy & Disgust.
Scene from Her
We chose this theme partly because of recent discussions about "affective computing," which aims to detect and respond appropriately to users' emotions. The field gained some visibility after the release of Spike Jonze's Her; writing for Rhizome, Martine Syms argued that the film could be read as "an elaborate product spec" for intelligent agents that can replace human relationships. Recently, a new crop of apps that function as "Intelligent Personal Agents" bring us a step closer to this future, while a more speculative app from Blast Theory offers a fully-fledged emotional relationship with a virtual character who gradually reveals herself to be "needy, sloppy, piteous, and desperate."
Some of the real-world research underpinning emotional analysis was discussed in a New Yorker piece earlier this year, focusing on the work of Affectiva and scientist Rana el Kaliouby. The company is developing a tool called Affdex that can "make relable interences about people's emotions" based on video monitoring:
During the 2012 Presidential elections, Kaliouby’s team used Affdex to track more than two hundred people watching clips of the Obama-Romney debates, and concluded that the software was able to predict voting preference with seventy-three-per-cent accuracy.