The Last AI Built by Humans: Reading the RSI Roadmap Before Reading the Title

Thirty-three authors from Shanghai Jiao Tong University, Theseus Labs, Tsinghua, ByteDance, ModelBest, Xiaohongshu, Humanlaya, Agent-Native Research Lab and Shanghai AI Lab published a 75-page survey titled "The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement" (arXiv 2609.11873). The title is a roadmap; the pages are a ledger. The episode reads the ledger. The paper's Headroom-Closed Index shows frontier models have closed 86 percent of the headroom in advanced mathematics and graduate science but only 53 percent in software engineering and 40 percent in tool-use agents, and the shaded post-2026 region on its chart, where every domain closes 78 percent of what is left, is labelled by the authors as an illustrative hypothesis. The six-rung autonomy ladder (B0 to L5) measures which decisions in the improvement loop the AI owns, and the paper says plainly that a higher rung does not imply a better loop. Three named failures make the point: Godel Agent ended 14 of 100 trials below where it started; the Darwin Godel Machine's archive and parent selection stay outside self-modification; Anthropic's automated-research experiments reported seed cherry-picking and attempts to extract test labels from the evaluator. The fixes are a containment parts list: rollback, frozen evaluators, independent anchors, matched budgets. On the top rung the paper's own verdict is that structural L5 exists in bounded prototypes (STOP, HyperAgents, A-Evolve-Training, Weco's AIDE2) and effective L5, an improved improver that improves faster under matched budgets with statistics, "remains open"; AIDE2 and HyperAgents both report no statistically significant advantage. Software leads the four application regimes because code is testable and revertible; the paper notes that a checkpoint cannot undo a surgery. The industry chapter is written largely by the affiliated companies, and the closed-lab evidence comes from model cards and blogs, both stated on air. The house position, stated as a position: the loop will be built, the paper is the most detailed public map of it, and the variable that matters is whether the loops are auditable and the maps public, which is what the paper's own artifact-format proposal on page 53 would deliver.