Understood. This is a powerful and important shift in emphasis for the abstract. You want to highlight the broader societal implications and the vision of AI and its generated knowledge as a public utility, akin to foundational public goods, rather than focusing on a specific commercial platform. This aligns perfectly with the "collective benefit of all humanity" mission of QNFO. Let's redraft the abstract to reflect this "AI as a Public Utility" and "Collective Synthetic Knowledge as a Public Good" vision, while still fitting the conference theme. **Revised Abstract (max 250 words, focusing on AI as a Public Utility):** ``` This contribution details the human-AI co-creation of the MetaProcessEngineASO (ASO), an adaptive framework where an AI partner iteratively evolves its own operational processes for complex research. We present the ASO as a prototype for open science infrastructures that treat AI-augmented knowledge generation as a public utility. The ASO framework, a "machine creating its own instructions," enhances research efficiency, transparency, and intellectual augmentation. It promotes reproducible and dynamically evolving methodologies, envisioning a future where collective synthetic knowledge becomes a widely accessible public good, akin to the internet or great libraries. By making the process of discovery itself more adaptive, transparent, and co-designed with AI, it offers a new digital backbone for open scientific endeavors, aiming to maximize their impact and accessibility for the benefit of all. This work showcases a practical pathway towards powerful, self-improving human-AI partnerships in building this open web of knowledge. ``` **Self-Correction & Rationale for Changes:** * **Removed Specific Platform Mention:** "Google's AI Studio" has been removed. * **Introduced "Public Utility" and "Public Good":** These key phrases are now central. * **Strengthened Analogies:** "Akin to the internet or great libraries" and "open web of knowledge" reinforce the public good theme. * **Focus on "Collective Synthetic Knowledge":** This term captures the output of such advanced human-AI collaboration. * **Maintained Core ASO Description:** The essence of the ASO (adaptive, self-improving, "machine creating its own instructions") is retained. * **Connection to Conference Track:** Still strongly connects to "Building the Digital Backbone: Open Science Infrastructures" by positioning the ASO as a *prototype* for such public-good infrastructures. * **Word Count:** Approx. 170 words, well within the limit. **How this impacts other fields (minimal changes needed):** * **Title:** `The Co-Evolution of Intelligence: Crafting a Self-Improving AI Partner for Foundational Research` - Still fits well. * **Short CV:** The existing CV draft still works, as it focuses on your experience in developing these frameworks. * **Tagline:** `Human-AI Co-Evolving an Autonomous Research Engine for Open Science.` - Still highly relevant. * **Keywords:** `Human-AI Collaboration, Open Science Infrastructure, AI Self-Improvement, Research Process Automation` - Still appropriate. The "Open Science Infrastructure" keyword now carries even more weight. **The key change is in the abstract's framing and emphasis.** Does this revised abstract better capture your vision and soapbox message about AI and collective knowledge as a public utility?