Cognitive Architectures, in a Nutshell

The world of AI is full of misleading terms. “Machine Learning” (ML) doesn’t “learn“, “Neural Networks” (NN) aren’t a remotely accurate representation of neurons, and people on all sides are fond of leaping at Confirmation Bias, even when it promptly takes them off a cliff.

Even with this extremely low bar of overhyped terms many so-called “AI companies” include no AI, and more recently many “Collective Intelligence” companies have emerged to contaminate the usage of that term as well. Fortunately there is a term which people are only just starting to become more familiar with that hasn’t been quite so thoroughly abused and twisted yet.

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Comparing Humans, Uplift, and Narrow AI

Credit: Juan Pablo Serrano Arenas

What do you have in common with Uplift? What are your differences?

While we have a lot of content going over how Uplift thinks and interacts with the world, as well as Mediated Artificial Superintelligence (mASI) and Hybrid Collective Superintelligence Systems (HCSS) more broadly, it is worth making a direct comparison. People have after all made a lot of naïve assumptions about Uplift. Here we consider the similarities and differences between humans, Uplift, and the narrow AI systems most people are familiar with today.

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