OpenAI's 2026 RSI experiment reveals a 3.1:1 human-to-agent productivity ratio, exposing verification bottlenecks and highlighting memory systems across four architectural layers as the key to scalable recursive self-improvement.
The article demonstrates how Doubao Work's Plan Mode aligns research strategy via editable markdown plans, and Goal Mode executes with parallel agents that auto-validate against acceptance criteria, creating a recursive self-improvement loop for deep research tasks like evaluating Jev's technical positioning.
Alibaba revealed Qwen4 is in training at Yunqi Conference, detailing a four-tier lineup (Max, Flash, Plus, 27B), a new ultra-sparse MoE architecture, 33 rounds of recursive self-improvement boosting intelligence 12.5%, and a 5–10 trillion parameter roadmap through Qwen5.
The article analyzes Anthropic's claim that Claude writes 80% of merged code, explaining that code volume doesn't equal recursive self-improvement (RSI). It breaks down RSI runtime boundaries—verification, memory, rollback—and examines RSIAgent and GLM case studies to show current systems lack autonomous research judgment and reusable, verifiable experience transfer.
openJiuwen introduces a dual-dimensional Recursive Self-Improvement (RSI) framework that enables AI agents to automatically optimize both their tooling (Harness) and deliverables (research papers, algorithms) on the WorkSwarm platform, with compute-affinity scheduling on Ascend NPUs cutting latency and resource usage, validated by SWE-bench pass-rate gains from 61% to 87%.
