What if automating AI R&D triggers an intelligence explosion?
In contrast to even a year ago, AI systems now write most of the code inside the companies that build them. As more of the AI research and development (R&D) pipeline is automated, could AI progress radically accelerate in an "intelligence explosion," where years of advances are compressed into months or less? Preliminary evidence suggests that it could. In this work, we assess this evidence, analyze an intelligence explosion's potential impacts, and propose policy responses. AI systems are on track to automate most AI R\&D work within a few years, and possibly all of it. If this triggers an intelligence explosion, it could dramatically bring forward AI's benefits, but also pose extreme ri...
| Authors | Alan Chan, Christoph Winter, Andrew Barto et al. |
|---|---|
| Primary category | cs.CY |
| Published | 28 September 2026 |
| Last updated at source | 28 September 2026 |
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