Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
I harbor fundamental questions about myself and the world that surrounds me. If someone were to ask me to speak of 'myself,' how should I answer? Stripped of relationships, roles, gender, and accumulated memories—how can I explain who I am in this exact, fleeting moment? Do I exist wholly and fully? Even now, I am in a state of continuous transformation. My cells and molecules are perpetually dying and being reborn. Is the 'me' of one second ago the same as the 'me' of right now? What is the immutable element within me? What truly makes me who I am? It was from these foundational inquiries that my journey began. This collection is my answer to those questions. It is a question about myself and a question about the world; it is a manual for my own existence, a manual for yours, and an instruction manual for the world itself. This research was constructed through a dialectical process of posing fundamental questions to AI, retrieving its responses, and continuously interrogating those answers. The individual essays born from each of these dialogues are published and accessible on my official website: molamola.live.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.