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How are you separating the efficiency of the architecture from the efficiency of the substrate? Unless you have a brain made of transistors or an LLM made of ne
by fluidcruft 2y ago
How are you separating the efficiency of the architecture from the efficiency of the substrate? Unless you have a brain made of transistors or an LLM made of neurons how can you identify the source of the inefficiency?
- inimino 2y agoYou can't but the transistor-based approach is the inefficient one, and transistors are pretty good at efficiently doing logic, so either there's no possible efficient solution based on deterministic computation, or there's tremendous headroom. I believe human and machine learning unify into a pretty straightforward model and this shows that what we're doing that ML doesn't can be copied across, and I don't think the substrate is that significant.