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| "Are GANs just a tool for human artists? Or are human artists at the risk of becoming tools for GANs?" |
Among all the interesting topics he discussed such as Sketch-RNN, Kanji-RNN and world models, what captivated me most is his ideas about abstraction, machine creativity and evolutional models. What exactly discussed on those topics (as I understood) is,
- Generating images based on latent vectors in auto encoders is a useful way to understand how the network understands abstract representations about data. In world models [1], he has used RNN to predict the next latent vector which can think of as an abstract representation of the reality.
- Creative machines learn and form new policies to survive or to perform better. This can be somewhat evolutionary (may be not during the life time of one agent). The agents can adopt to different scenarios by modifying them selves too (self-modifying agents).
Some other quotes or facts about human perception that (I think) has inspired his work.
Sketch-RNN [2]:
"The function of vision is to update the internal model of the world inside our head, but what we put on a piece of paper is the internal model" ~ Harold Cohen (1928 -2016), Reflections of design and building AARON
World Models:
"The image of the world around us, which we carry in our head, is just a model. Nobody in their head imagines all the world, government or country. We have only selected concepts, and relationships between them, and we use those to represent the real system." ~ Jay Write Forrester (1918-2016), Father of system dynamics
[1] https://worldmodels.github.io/
[2] https://arxiv.org/abs/1704.03477
[1] https://worldmodels.github.io/
[2] https://arxiv.org/abs/1704.03477
