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The problem I have with this idea is that ML systems usually only repeat patterns they've seen before. Sure, you can get quirky output by going to unused portio
by popinman322 8y ago
The problem I have with this idea is that ML systems usually only repeat patterns they've seen before. Sure, you can get quirky output by going to unused portions of the latent space, but that's also more likely to yield degenerate results (things that look 40% shirt, 40% pants, and 20% "other"). While these types of results are usually the most interesting, they're also the most likely to require professional "cleaning"; removing artifacts in a way that produces good results still requires skilled labor. I would expect an ML system to be able to do fine adjustments like spacing and repetition of minor motifs, coarse adjustments like combining motifs in novel ways, or even simple block patterns like the one in the article, but it's unlikely you'll find novel motifs solely via the latent space. Even for the most interesting potential use case, novel combinations of existing motifs, you're likely going to need human discretion as a final pass.
When a human designs something, there's often intent involved; there are design constraints and social context involved. I don't expect statistical ML (which is good at interpolation) to cross these gaps without integration with symbolic ML (which is good at extrapolation).
Though maybe I'm biased since I work in a symbolic AI lab.
- freehunter 8y agoHumans often only repeat patterns they've seen before as well, and quirky output comes from wild guesses and requires significant skilled labor to clean up. For every new design you see, there may be 100 or 1000 that were thrown away. All of those discarded designs cost money regardless of if they were used or not.
- sincerely 8y agoI mean, it's going to be a long long time before we get an AI on the level of Iris van Herpen or Chalayan. It seems to be mostly about colour and minor variations on extremely basic articles of clothing, barely even "fashion" in the sense of innovation.
- extralego 8y agoThat surely happens and all but popular approval and celebration is the product of social structures rather than creative ones.
- zitterbewegung 8y agoSure an algorithm can get the low hanging fruit that you say but what we really care about is computers competing with the best that can be made by humans.
- s-shellfish 8y agoFrom an art/fashion perspective, this could be interesting in a playful way if the industry saw reason to 'mechanically play' with machine designs in the same way it does with it's own history and the history of art. This would make the production and consumption function more like a stream of information that is bidirectional, rather than just a unidirectional cyclic aggregation of historical data.
- blt 8y agoI agree that statistical ML is only good for interpolation, but I also feel that the set of human behaviors that are reducible to interpolation is larger than we realize. Even high order human behaviors like academic research or art criticism contain huge chunks of pattern recognition.
- ThomPete 8y agoFashion, just like the art scene is way more controlled than we would like to think. Pink being the color for a season is based not on rationality but on a decision made by the fashion industry at large (in a fuzzy matter) Don't think of AI as the brand but as the designer (the actual person making the (ex.) pink color of the spring. Nutella did it with packaging. https://www.dezeen.com/2017/06/01/algorithm-seven-million-different-jars-nutella-packaging-design/ https://www.dezeen.com/2017/06/01/algorithm-seven-million-di...