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The second benefit is that we get dynamic dependencies for free. If pull-based reactivity is just a call stack, then it’s very easy to conditionally call (i.e. conditionally depend on) some input. We don’t need to maintain an internal list of which dependencies a node is subscribed to or vice versa, we just fetch values as needed.
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In a 2019 essay entitled The Bitter Lesson, the computer scientist Richard Sutton observed that methods which try to build in human knowledge consistently lose out, over time, to methods that simply scale search and learning. “We want AI agents that can discover like we can,” he writes, “not which contain what we have discovered.” This applies naturally to paradigm shifts, which by definition move beyond existing knowledge. It might seem, then, that the path to paradigm-shifting AI is to get out of the way and let computation run.