[UncleOxidant]

> Neuromorphic computing will likely kick over the LLM sand pile at some point, and all that discounted hardware will need re-homed.

I don't see a lot of work going on in neuromorphic - there was some work at Intel, IIRC. Not saying you're wrong, but just wondering where you think it's going to come from?

[Joel_Mckay]

> just wondering where you think it's going to come from?

Will likely evolve like any regular biological system, and consume translated LLM weight sets into its initial training condition 3D propagation structure.

The speed at which this occurs will likely initially be measured in weeks due to slower growth state writes, but once bootstrapped the GC is self-propagating.

I normally don't like to speculate, but the barrier to entry would actually be much lower than traditional silicon fabrication processes. It was an old idea from science fiction, that until recently was highly impractical. Asimov was likely wrong about the physical process, but not about how it is made.

https://en.wikipedia.org/wiki/Positronic_brain

Due to theoretical constant morphological changes under GC, one must acknowledge the inherent lack of safety such systems would pose. Have a nice day. =3

[fc417fc802]

I expect you'd carry out most such work in the form of simulations, only moving to hardware once you'd demonstrated an efficient algorithm. If I'm right about that then it would be easy for any corporate R&D on the topic to fly under the radar indefinitely.

On the academic side of things there's a steady drip of papers on things like spiking neutral networks so I'd say the general theme is being explored.

I figure if a breakthrough happens it will be overnight just like what happened with transformers.