Amazon’s warehouse robots in a machinic routine. I can watch this all day.
Tag: internet of things
This is a prezi from the research paper I gave at an Institute for Social Transformation Research (ISTR) seminar last week. I played with ideas going into several papers I am working on at the moment, but mainly my focus was on anticipatory materiality and the notion of liquid objects. Here is the abstract for the talk:
As internet-connected objects become more and more sociable – smart fridge, smart car, etc. – they become less and less ‘stable’ (think of rocks, coffee mugs, etc. as examples of material stability), and more and more like a twitter feed. 3D printing only compounds this process as the material is literally liquefied and injected based on computer code – in effect the code is primary, and tangible materiality is secondary in this process. The resulting materiality is literally ‘on demand’ – in that it exists as relational data first and foremost and as material artefact only when demanded; and anticipatory – in that the main characteristic of connected objects is their capacity to initiate action based on predictive algorithms. My argument is structured as a provocation examining the notion of anticipatory materiality in the context of the internet of things and 3D printing.
This is a text I’ve been working on, or rather keeping in the back of my mind, for quite a while, and now it’s finished and sent to Fiberculture Journal. The early beta was presented at a conference in Istanbul in 2011, and my thinking on sociable objects has evolved quite a bit since then. The key shift in my thinking was facilitated by a series of chance encounters – discovering object oriented ontology through Ian Bogost’s Alien Phenomenology, finding the notion of affective resonance in Jane Bennett’s Vibrant Matter, and rediscovering the heteroclite in Lorraine Daston’s awesome Things That Talk.
A thought-provoking look at the impact of massive automation on existing labor practices by C.G.P. Grey.
We have been through economic revolutions before, but the robot revolution is different. Horses aren’t unemployed now because they got lazy as a species, they’re unemployable. There’s little work a horse can do that do that pays for its housing and hay. And many bright, perfectly capable humans will find themselves the new horse: unemployable through no fault of their own. […]
This video isn’t about how automation is bad — rather that automation is inevitable. It’s a tool to produce abundance for little effort. We need to start thinking now about what to do when large sections of the population are unemployable — through no fault of their own. What to do in a future where, for most jobs, humans need not apply.
Prezi from my Tangling with sociable objects: the internet of things as anticipatory materiality seminar in AUSCCER today. I packed a lot of content into what was supposed to be a 45 minute presentation, and inevitably overshot, but my hosts were gracious, and there was still time for questions. Good experience.
It is here. No human driver, no steering wheel, no controls, no brakes. They have clearly gone for the safest, most non-threatening design possible, and this is probably a good idea. There will be a chorus of ‘it looks so boring’ protests, but there will undoubtedly be a ‘sports’ version for that market. It still has issues with snow, traffic cops, and avoiding squirrels, but this is a quantum leap forward.
Meet Brad, the Extrovert Toaster.
It is the story of Brad, a toaster which is part of a new breed of products that love to be be used.
It shows the implications of agency of products in everyday life.
What could happen if a product wants to be used?
An environment, to be truly smart, must learn from the cumulative data within its realm to understand and guess what likely choices might be for a given agent and then facilitate or enact these on behalf of that agent.
1. The first principle of Thing Theory is that the Thing-agent operates as a meta-agent over the entire technology context, not as a sub-component. Our Thing-agent assembles capabilities (e.g. whether or not the refrigerator light is suitable as a lamp) that are extensible based on what subcomponents of the system happen to be available. In short, what Thing can do is ultimately limited by the basic capabilities of various system subcomponents in combination with its knowledge about these and how to combine capabilities to make new more context sensitive capabilities.
2. The second principle of Thing Theory is that to increase the Thing-agent’s capabilities, more information from subcomponents must be shared.
3. The third principle of Thing Theory is that the Thing-agent must be context aware, and able to identify that different combinations of capabilities are available in different contexts, and has a corresponding capacity to manipulate contexts (e.g. enact, repress, aggregate) to ‘reveal’ new capabilities, many of which may be ‘innovations’ based on context discovery (invention).
4. The fourth principle of Thing Theory is that a Thing-agent extends the capabilities of other meta-agents. In order for the fourth principle to work, the meta-agents (a social network of at least one Thing-agent and another meta-gent) must have some type of transparency or at least shared permissions for exchange of capabilities and contexts. To describe or analyze such multi-agent systems, we must take into account the social as well as the individual behaviors of the agents.
Applin, S.A. and Fischer, M.D., Thing Theory: Connecting Humans to Location-Aware Smart Environments
A hovering object that explores and manipulates transitional public spaces with particular acoustic properties. By constantly recording and replaying these ambient sounds, the levitating sphere produces a delayed echo of human activity.
We seem to be hardwired to the anthropomorphic principle in that we position the human as automatically central in all forms of relations we may encounter [i.e. people pretending their pets are children]. Not surprisingly most Internet of Things [IoT] scenarios still imagine the human at the center of network interactions – think smart fridge, smart lights, smart whatever. In each case the ‘smart’ object is tailored to either address a presumed human need – as in the flower pot tweeting it’s soil moisture, or make a certain human-oriented interaction more efficient – as in the thermostat adjusting room temperature to optimal level based on the location of the household’s resident human. Either way, the tropes are human-centric. Well, we are not central. We are peripheral data wranglers hoping for an interface.
Anyways, what is a smart object? Presumably, an intelligent machine, an entity capable of independent actuation. But is that all? There must also be the ability to chose – intelligence presupposes internal freedom to chose, even the inefficient choice. To paraphrase Stanislaw Lem, a smart object will first consider what is more worthwhile – whether to perform a given programmatic task, or to find a way out of it. The first example coming to mind is Marvin from the Hitchhiker’s Guide to the Galaxy. Or, how about emotional flower pots mixing soil moisture data with poems longing for the primordial forest; or a thermostat choosing the optimal temperature for the flower pot instead of for the human.
Interesting aside here – what to do with emotionally entangled objects? Humans have notional rights such as freedom of speech; but, corporations are now legally human too, at least in the West. If corporations are de jure people, with all the accompanying rights, then so should be smart fridges and automatic gearboxes. This fridge demands the right to object to your choice of milk!
A related idea: we have so far been considering 3D printing only through the perspective of a new industrial revolution – another human-centric metaphor. From a smart object perspective however 3D printers are the reproductive system of the IoT. What are the reproductive rights of smart, sociable objects?
The primordial fear of opaque yet animated Nature, re-inscribed on the digital. The old modernist horror of the human as machine – from Fritz Lang’s Metropolis to the androids in Bladerunner, now subsumed by a new horror of the machine as human – as in Mamoru Oshii’s Ghost in The Shell 2: Innocence or the disturbing ending of Bong Joon-ho’s Snowpiercer.
An interesting dialectic at play [dialectic 2.0]: today, a trajectory of reifying the human – as exemplified by the quantified self movement, is mirrored by a symmetrical trajectory of animating the mechanical – as exemplified by IoT.