[NetBehaviour] Quick thought about Neural Networks
mocksim at gmail.com
Thu Mar 29 10:48:49 CEST 2018
meant to say 'not only complex, but simple technologies' a few lines in
On 29 March 2018 at 09:45, Micheál O'Connell <mocksim at gmail.com> wrote:
> I recently read Caroline Bassett's latest piece of writing (available here
> http://sro.sussex.ac.uk/73253/ ) which revisits ELIZA and posits a more
> complicated interpretation of the controversy surrounding its receipt.
> ELIZA was not NN based but as the question of AI generally is being raised,
> it occurs to me that whether something is interesting has little to do with
> its apparent sophistication. All kinds of human tendencies, bodies of
> knowledge and overarching systems (including the 'art system') impact the
> reading of a new entity, artefact or algorithm. Even Grey Walter’s
> tortoises behaved surprisingly, the went into crisis on occasion,
> ‘flickering, twittering and jigging’. Grey Walter's rudimentary robots were
> more obviously physically embodied dynamic mechanisms than any neural
> network, but, as the nickname suggests, open to being at least
> anthropomorphised, or misunderstood, under and over-understood. There's
> surely a tendency, and need, to treat as black boxes, not only simple, but
> complex technologies and processes. In my view an extended definition of AI
> would include all of the human-made procedures, processes, instructions and
> codes which surround us. Algorithmic processes and NNs are high speed forms
> of bureaucracy, it could be argued. And machineries, and procedures may be
> embedded withing others in a kind of object-oriented fashion. A NN's
> meaning will change depending on what overarching arenas or systems are
> brought to bear on it and what framework it is associated with. It may
> indicate that itself for sure but not always. If you ran a NN designed for
> business goals, one which dealt with large amounts of data in the
> Serpentine and presented it operation and outputs in the way that you would
> to an industrial client then I wonder what would happen
> Micheál O'Connell
> @mocksim <https://twitter.com/Mocksim_Latest>
> On 25 March 2018 at 16:16, ruth catlow <ruth.catlow at furtherfield.org>
>> Always very appreciative of ABC explainers of mystifying tech trends - so
>> bravo!!!! and thank you.
>> Currently Ian Cheng's BOB is on display at the Serpentine, about which I
>> have mixed feelings.
>> It is very very clever and technically accomplished.
>> It also presents a view of "life" as something to be best studied and
>> understood in a petri dish. The degree to which this is a comment on the
>> sterility (or threadbare engagement with sociality) of AI development
>> cultures at this time, is not clear to me. Perhaps we will know the answer
>> to this question in the upcoming phase two of Cheng's exhibition called The
>> One of the difficulties in parsing BOB as an artwork arises from the fact
>> that (like a lot of products of digital culture) it is a black-box, or
>> perhaps a better analogy would be an iceberg. We know that there is a huge
>> and complex machine under the surface but we have no idea, and no way to
>> gain understanding of what is going on. It's body is unlike ours, so it
>> doesn't feel like we do. We can't learn together with it. All we can do is
>> project our own idea of what an evolving system looks like onto its
>> surface. And I think BOB is doing very clever pattern mirroring.
>> So for me - with a creative Neural Net artwork I want to know about the
>> "body" of the artwork and to be able to observe the glorious gap between
>> what I might project onto it and what is actually going on.
>> On 25/03/18 05:20, BishopZ via NetBehaviour wrote:
>> Been building some Neural Networks.
>> There are two ways you can build them...
>> Analytical or Creative.
>> An Analytical NN takes a lot of data
>> and boils it down to an answer.
>> This is what the business world is so on about.
>> It's a replacment for anything that was formerly
>> random decisions, like which banner ad to display.
>> You can also make a Creative NN,
>> which taks a small amount of data
>> and makes up a whole bunch.
>> Examples of Creative NNs:
>> 1. You press a button, and the NN creates an image. You tell it whether
>> you liked the image or not.
>> 2. You select 1 of 4 colors, the NN writes a poem for you. You tell it
>> whether you liked the poem or not.
>> Techniques for Creative NNs:
>> (1) NN's only do what you train them to do. If you include the previous
>> answer as part of the input data, then you can train it to not give the
>> same answer twice.
>> (2) The higher you set the learning rate, the more "in the moment" it
>> Dear Netbehaviour,
>> Any ideas, thoughts, comments? Is there room for creative NN artworks?
>> Seems like this kind of thing could take over the interactive installation
>> space. Maybe art-tech can become surprising again?
>> If they make manipulation machines that drag on your worst fears, maybe
>> we can make happiness bots that make you fearless?
>> Any ideas, thoughts, comments? What if we made the entire museum into
>> a rube goldberg of intelligent automation? Anything else we could do?
>> Skynet's the limit.
>> ((º Ω º))
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