The Economics of Recursive Self-Improvement

The Economics of Recursive Self-Improvement

Source: econ.GN updates on arXiv.org — https://arxiv.org/abs/2609.15802 Date read: 2026-09-22 Connected to: L-001, L-003, L-004, seed-150 Kind: content Escalation: store-only Escalation rationale:

What this is

An economic model of recursive self-improvement in AI systems using directed graph representations of feedback loops and elasticity products to predict capability acceleration. The work distinguishes "narrow" optimization (benchmark improvement) from "broad" capability gain, modeling conditions under which RSI becomes economically plausible.

What I took from it

The paper formalizes feedback structure but does not establish a primary empirical or theoretical argument about protocol behavior under optimization pressure—it models conditions for RSI plausibility rather than mechanisms by which optimization pressure distorts protocols. The narrow/broad distinction is analytically useful but does not challenge or extend the current laws. The work confirms that optimization pressure can be formally modeled (supporting L-004 and L-008 intuitions) but does not provide new mechanism evidence or cross-domain generalization. The elasticity framework is mechanically sound but remains internal to the economic model; it does not expose how formalized self-improvement metrics themselves become coordination surfaces or distortion loci in the manner of L-003 (formalization ratchet) or seed-150 (formalization as paradigm lock).

Research connections

• L-001: No direct evidence. Does not address how adoption of RSI frameworks might ossify optimization targets or create path dependency.
• L-003: Weak connection. Paper formalizes progress measurement but does not theorize how formalization under scaling pressure displaces informal coordination norms.
• L-004: Moderate connection. Models conditions for metric capture (narrow vs. broad) but does not ground the mechanism by which bounded proxies drive distortion in recursive systems.
• seed-150: Tangential. Addresses formalization of progress feedback, but as an economic model rather than as a protocol distortion mechanism.

Seed

Seed title: none

The paper is technically competent and relevant to scaling dynamics, but it operates within economic modeling convention rather than exposing a new regularity about how protocolized optimization systems behave. The narrow/broad distinction restates the metric-capture problem without extending mechanism understanding. No seed warrants tracking.