Artificial Intelligence
AI’s Recursive Self-Improvement Is Advancing Slower Than Expected
An analysis published by MIT Technology Review on August 18, 2026 argues that AI’s recursive self-improvement, the idea that a system trains its own successor without human help, is advancing much more slowly than the advocates of an intelligence explosion predicted. The article reviews the current technical bottlenecks, from the cost of compute to the risk of an agent evaluating itself against its own criteria.









