6 citations · 6 across the 4 of their papers we have counts for
8 papers
Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution
Anton Razzhigaev, Andrei Gritsaev, Andrei Kaznacheev +3
We present Ouroboros, a self-developing agent harness whose tools, prompts, context assembly, and core implementation improve through reviewed commits that become the runtime for l…
AI Risk Skepticism, A Comprehensive Survey
Vemir Michael Ambartsoumean, Roman V. Yampolskiy
In this thorough study, we took a closer look at the skepticism that has arisen with respect to potential dangers associated with artificial intelligence, denoted as AI Risk Skepti…
Principles for new ASI Safety Paradigms
Erland Wittkotter, Roman Yampolskiy
Artificial Superintelligence (ASI) that is invulnerable, immortal, irreplaceable, unrestricted in its powers, and above the law is likely persistently uncontrollable. The goal of A…
Understanding and Avoiding AI Failures: A Practical Guide
Heather M. Williams, Roman V. Yampolskiy
As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based on normal accident theory, high reliability theory, and open systems theory, we…
An AGI with Time-Inconsistent Preferences
James D. Miller, Roman Yampolskiy
This paper reveals a trap for artificial general intelligence (AGI) theorists who use economists' standard method of discounting. This trap is implicitly and falsely assuming that…
Simulation Typology and Termination Risks
Alexey Turchin, Michael Batin, David Denkenberger +1
The goal of the article is to explore what is the most probable type of simulation in which humanity lives (if any) and how this affects simulation termination risks. We firstly ex…