The Nonlinear Library

AF - A strong mind continues its trajectory of creativity by Tsvi Benson-Tilsen


Listen Later

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: A strong mind continues its trajectory of creativity, published by Tsvi Benson-Tilsen on May 14, 2023 on The AI Alignment Forum.
[Metadata: crossposted from. First completed January 29, 2023.]
A very strong mind is produced by a trajectory of creativity. A trajectory of creativity that produces a very strong mind is hard to separate from the mind's operation. So a strong mind continues on its trajectory of creativity as long as it is active.
A strong mind comes from a trajectory of creativity
If a mind is highly capable, it got to that point by gaining understanding in a voyage of novelty. If the mind gains understanding that is novel for all the surrounding minds (e.g., preexisting humans), it does so through creativity: generating novelty, rather than merely copying it. If the mind becomes much more capable than the surrounding minds, it does so by being on a trajectory of creativity: something about the mind implies that it generates understanding that is novel to the mind and its environment. If the mind is on a trajectory of creativity that brought it to the point of being highly capable, its trajectory of creativity probably carries the mind much further, making the mind much more capable than it already is.
The ex quo of a mind's creativity is the element (collection of elements) out of which comes novel structure. The ex quo of a modern AI system is almost entirely dependent on the search (i.e. training) apparatus, which is clearly separated out from running the found system. (The ex quo isn't entirely dependent on the search apparatus. Some non-zero creativity happens in the collision of elements that happens in, say, a single run of a stable diffusion image model or a large transformer language model. But it's not much creativity, and the found structure is about as temporarily grasped as possible.)
The proximal ex quo is that out of which novel structure comes directly. The distal ex quo is that out of which novel structure comes indirectly. So the mental context that's set up when a particular idea comes to you, and the other dark matter that goes into that abduction, is the proximal ex quo; human evolution is the distal ex quo; and the history of the development of your brain is an intermediate ex quo.
Trajectory and operation are hard to separate
An AI can simply be shut down, until it's able to and wants to stop you from shutting it down. But can an AI's improvement be shut down, without shutting down the AI? This can be done for all current AI systems in the framework of finding a fairly limited system by a series of tweaks. Just stop tweaking the system, and it will now behave as a fixed (perhaps stochastic) function that doesn't provide earth-shaking capabilities.
I suspect that the ex quo that puts a mind on a trajectory to being very strong, is hard to separate from the operation of the mind. Some gestures at why:
Making doesn't imply understanding
Just because you can make something, doesn't mean you understand how it works.
Evolution is a distal ex quo of human understanding. But there's clearly an ex quo more proximal than evolution for, say, scientific understanding: human thought and investigation. Setting up an evolution that can produce humans doesn't imply that you understand how humans do science.
The way we make neural networks today is by setting up a distal ex quo (the search process). A more proximal ex quo for a neural net comes from the accumulated hidden features: they set up the context in which the next little tweak is beneficial. We can know how to make neural nets that work well without knowing much about how the series of tweaks in context build up the computations that end up performing well at the given task.
We can nevertheless turn off the ex quo of current AI systems because the ex quo is almost entirely dependent on the ...
...more
View all episodesView all episodes
Download on the App Store

The Nonlinear LibraryBy The Nonlinear Fund

  • 4.6
  • 4.6
  • 4.6
  • 4.6
  • 4.6

4.6

8 ratings