AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence https://arxiv.org/abs/1905.10985 Historically, hand-designed pipelines are ultimately outperformed by entirely learned ones. Will that will be true of creating general AI itself?
Three Pillars are essential for the approach: (1) meta-learning architectures, (2) meta-learning the learning algorithms themselves, and (3) generating effective learning environments.
I argue that either the manual approach or the AI-generating algorithm path could produce general AI first, and both are scientifically worthwhile irrespective of which is the fastest path.
Because both are promising, yet the ML community is currently committed to the manual approach, I argue that our community should increase its research investment in the AI-GA approach. To encourage such research, I describe promising work in each of the Three Pillars.
Because it it may be the fastest path to #AGI and it is inherently interesting to understand the conditions in which a simple algorithm can produce general AI (as happened on Earth), I argue that AI-GAs should be considered a new grand challenge of computer science research.
✴️ @AI_Python_EN
Three Pillars are essential for the approach: (1) meta-learning architectures, (2) meta-learning the learning algorithms themselves, and (3) generating effective learning environments.
I argue that either the manual approach or the AI-generating algorithm path could produce general AI first, and both are scientifically worthwhile irrespective of which is the fastest path.
Because both are promising, yet the ML community is currently committed to the manual approach, I argue that our community should increase its research investment in the AI-GA approach. To encourage such research, I describe promising work in each of the Three Pillars.
Because it it may be the fastest path to #AGI and it is inherently interesting to understand the conditions in which a simple algorithm can produce general AI (as happened on Earth), I argue that AI-GAs should be considered a new grand challenge of computer science research.
✴️ @AI_Python_EN