2 papers
cs.AI2026
AGI Maze as a Benchmark Framework for World-Modeling Agents
Alexey Potapov
Large language models (LLMs) are powerful pattern-completion systems, but their default operating mode - predicting the next token from a static context - does not reliably produce…
cs.CY2026
Reframing AGI Confrontation with Off Earth Autonomy
Alexey Potapov
A common AI-safety narrative holds that sufficiently capable agents will predictably seek power, resist shutdown, and therefore tend toward confrontation with humans. We argue that…