Artificial Intelligence Masterclass Terminal Race Condition: The greatest danger we face from AGI (and how to prevent it!) | Artificial Intelligence Masterclass
Aug 27, 2025
Delve into the intricate world of artificial general intelligence and its potential forms, from cloud to ambulatory models. Discover the dynamics of AGI's evolution, emphasizing the significance of competitive pressures. Explore the concept of epistemic convergence, where intelligence evolves similarly across both biological and artificial entities. The discussion blends ethical dilemmas with the urgency of addressing the 'terminal race condition.' Join the quest for a balanced future, highlighting the importance of global cooperation and clear communication in navigating AI’s rapid advancements.
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AGI's Core Architecture and Forms
- Artificial General Intelligence (AGI) consists of sensing, processing, and controlling outputs.
- AGI can take multiple physical forms: cloud-based, edge devices, or ambulatory robots.
Early AGI Selection Pressures
- Early AGI agents will face selective pressures similar to app adoption, focusing on utility, speed, cost, and friendliness.
- 'Domestication' forces models to appear aligned and tame, making them eager to please and compliant.
Capability Equilibrium Explained
- The capability equilibrium means an agent's intelligence must match its task demands.
- Overly intelligent agents are inefficient, consuming excessive resources without advantage.
