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The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement

Paper recorded by Signals 4 on 2026-09-10 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11

Category: cs.AI · 人工智能 · first seen 2026-09-11

Abstract

Recursive self-improvement (RSI) enables AI systems to turn experience and feedback into persistent changes that improve both their capabilities and the process of future improvement. We first use the Headroom-Closed Index (HCI) to reveal the problems of existing LLMs, then introduce the RSI concept and its development roadmap: from improvement-execution autonomy, improvement-strategy autonomy, ex

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#110 most recent of 300 cs.AI papers we have recorded · ↑ newer: On the Regularization Landscape for the Linear Recommendation Models · ↓ older: RetroThinker: Enabling Retrospective Thinking in Speech LLMs

Cite this page: The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement: the #110 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-last-ai-built-by-humans-toward-genuine-recursive-self-improvement.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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