This post is primarily written by Rafael Kaufmann, my contributions were minimal. Warning: a long read! In our first LW post on the Gaia Network, we framed it as a solution to the challenges of building safe, transformative AI. However, the true potential of Gaia as a “world-wide web of causal models” goes far beyond that, and in fact, justifying it in terms of its value to other use cases is key to showing its viability for AI safety. At the same time, the previous post focused more on the “what” and “why”, and didn’t talk much about the “how”. In this piece, we’ll correct both of these flaws: we’ll visually walk through the Gaia Network’s mechanics, with concrete use cases in mind.
Gaia Network: An Illustrated Primer
Gaia Network: An Illustrated Primer
Gaia Network: An Illustrated Primer
This post is primarily written by Rafael Kaufmann, my contributions were minimal. Warning: a long read! In our first LW post on the Gaia Network, we framed it as a solution to the challenges of building safe, transformative AI. However, the true potential of Gaia as a “world-wide web of causal models” goes far beyond that, and in fact, justifying it in terms of its value to other use cases is key to showing its viability for AI safety. At the same time, the previous post focused more on the “what” and “why”, and didn’t talk much about the “how”. In this piece, we’ll correct both of these flaws: we’ll visually walk through the Gaia Network’s mechanics, with concrete use cases in mind.