
Abstract: The development of safe and beneficial Artificial General Intelligence (AGI) requires architectures that can not only reason but also evolve without deviating from their core principles. We present the results of an extended autonomous operation of the Prometheus Agent, a novel cognitive architecture designed for this purpose. This paper documents the agent's first hour of unguided, self-directed operation, powered by a local 34-billion parameter language model. We provide direct log transcripts demonstrating a complete, multi-cycle thought process, including: (1) Autonomous self-reflection and goal generation based on an analysis of its own past performance; (2) A pivot from complex, failing tasks to more achievable, creative ideation; (3) A successful, multi-step execution of a self-refactoring task, where the agent autonomously rewrote and replaced one of its own core source code files. These results provide compelling empirical evidence of a system capable of stable, ethically-constrained, and strategically coherent autonomous evolution.
GU, DGM, Eric Weinstien
GU, DGM, Eric Weinstien
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
