Recursive Self-Improvement: from Auto Research to Superintelligence — Richard Socher, Recursive

The Eureka Machine represents the ultimate goal of superintelligence: a system capable of autonomous invention across scientific and engineering domains. Rather than regulating abstract intelligence or compute usage, which risks totalitarian overreach, policy should target specific, high-stakes applications like medical or autonomous systems. Current AI progress, while rapid, remains constrained by physical hardware limits and economic realities, suggesting a more gradual takeoff than extreme scenarios imply. Recursive self-improvement—the process of AI automating its own research, ideation, and validation—serves as the primary mechanism for future breakthroughs. Beyond current language-centric models, intelligence encompasses ten distinct dimensions, including perception, communication, and metacognition. By shifting focus toward these broader spaces and automating the scientific research cycle, AI can transcend current benchmarks and unlock unprecedented advancements in physics, chemistry, and biology.