Part 7/16:
Impolski advocates for focusing on narrow AI systems tailored to specific domains. Narrow systems are easier to test, contain, and verify, reducing safety risks. In contrast, building towards general superintelligence remains dangerous and unpredictable. The complexity of architecture and capabilities in broad AI models—like large language models (LLMs)—makes them inherently hard to control once they attain agent-like qualities or general learning ability.