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Showing posts from 2013

Putting together GPU Workstation

I am setting up a gpgpu workstation for prototyping the neural nets. It's an interesting time in history, this will likely be the last digital, von Neumann machine I use for this work. It is a good, fast number cruncher, but it is the wrong type of machine for ANN's. It's a bad fit. 4 little islands of 4/6gb ram spinning wheels hyper-fast. The interconnects slow as mud in comparison. PCI3.0 doesn't come close, honestly PCI4.0 won't make any real difference.
My ideal is one, extremely large, homogenous 'brain'. That gives me much less work to do. Now I will have to come up with algo's to deal with very fast, slow-connect sub-nets. I will be using compression techniques to communicate between the gpu's and find ways to architect around the hardware. The 4/6gb sub-nets will have to adapt with minimal information from the rest of the network. Trying a rasterizing technique won't be efficient since the buses and HD's will be far too slow for the …

A.I. Design Notes 1

Here is a brief outline of some of my views on AGI design which I'll expand on in time.

Noise is Necessary.
Noise is an essential ingredient for any reasonably intelligent system. This is less controversial to say now than a few years ago given recent findings in several fields. Maybe you can have limited success in limited domains with a non-noisy brain, but that's about it. And the deltas that come from a rich, complex environment can provide a lot for what is needed in an agent brain. But again I suspect that the limitations will show up and become more pronounced as time goes on.
We know for example via implants that there is an immediate loss of fidelity in hearing if the implant is not a noise-sensitive circuit. As an agent becomes more advanced and the brain becomes larger, I believe this is definitely the case.

Open Architecture & Self Organization.
One take on this idea I heard about is Andy Clark's 'Natural Born Cyborgs', and his great line 'Ev…