TECH Signal 416
RSI Simulator
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A web-based game and explorer let users experiment with economic models of AI research, illustrating how labor, compute and data interact in recursive self-improvement scenarios.
Engineers can use the simulator to see how changes in compute or data availability might throttle AI progress, highlighting practical bottlenecks beyond algorithmic advances. The tool also makes clear that model outcomes are highly sensitive to elasticity parameters, so any forecasting must treat those inputs as uncertain.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
The simulator shows that AI development is often limited by the weakest resource, compute, data, or human effort, rather than by algorithmic capability alone.
Recursive self-improvement may occur in bursts and can halt well before physical limits if compute or data remain constrained.
Model predictions depend heavily on elasticity values, which quantify how discovery rates respond to input changes, making up-to-date metric tracking essential.
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