Ryan Orbuch makes the case for Natural General Intelligence grounded in Earth's own systems
maddiehalla · x · 2026-09-18
Ryan Orbuch publishes a long essay, "Natural General Intelligence," arguing that intelligence frameworks should be grounded in the state and dynamics of the planet itself, not just datacenter models.
Key arguments:
- Infinite intelligence cannot eliminate or replace our need for natural resources, which are produced only by the Earth system—not by human intelligence. Some are geological stocks (minerals, oil); others depend on renewable processes (fisheries, soil nutrient cycles, watersheds).
- While AI promises abundance by automating knowledge work, the Earth system is already fully automated—it ran long before humans and will continue after us. The opportunity is therefore stewardship, not automation: using greater intelligence to deliberately improve what these systems provide while sustaining the conditions that make it possible.
- Misalignment between intent and consequence is not an emerging AI threat but centuries of status quo in the natural world, one no panicked coordination has managed to pause—an implicit analogy to AI alignment.
The essay offers a third path between doomer and accelerationist narratives: AI's overlooked potential lies in transforming our relationship with the natural world.
Related event: Ryan Orbuch Proposes 'Natural General Intelligence' Framework(2 posts)→
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