Comment by hackathonguy

3 months ago

I'm curious if it might be possible that an AI "civilization", similar to the one proposed by Altera, could end up being a better paradigm for AGI than a single LLM, if a workable reward system for the entire civilization was put in place. Meaning, suppose this AI civilization was striving to maximize [scientific_output] or [code_quality] or any other eval, similar to how modern countries try to maximize GDP - would that provide better results than a single AI agent working towards that goal?

Yes, good sense for progress! This has been a central design component of most serious AI work since the ~90s, most notably popularized by Marvin Minsky’s The Society of Mind. Highly, highly recommend for anyone with an interest in the mind and AI — it’s a series of one-page essays on different aspects of the thesis, which is a fascinating, Martin-Luther-esque format.

Of course this has been pushed to the side a bit in the rush towards shiny new pure-LLM approaches, but I think that’s more a function of a rapidly growing user base than of lost knowledge; the experts still keep this in mind, either in these terms or in terms of “Ensembles”. A great example is GPT-4, which AFAIU got its huge performance increase mostly through employing a “mixture of experts”, which is clearly a synonym for a society of agents or an ensemble of models.

  • I don't think "mixture of experts" can be assimilated to a society of agents. It is just routing a prompt to the most performant model: the models do not communicate with each other, so how could they form a society ?

    • Hmm that's a good point, but IMO the distinction isn't sharp enough to make a big deal over. The core idea of SoM as I see it is that human cognition is often quite decentralized, and that any illusion of a unified self is constructed piecemeal from the outputs of smaller, less-aware subsystems. Generally it's expected that the subsystems communicate with each other, yes, but I think "disproportionately rely on one or two members for complex questions but act like you're unified overall" still fits the bill.

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