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About this paper
Konstantin Pilz, Lennart Heim, Nicholas Brown
Analyzes how increasing compute efficiency, driven by hardware and algorithmic improvements, impacts the diffusion of AI capabilities and associated risks. The analysis identifies two core effects—the "access effect" and the "performance effect"—demonstrating that while capabilities become cheaper and more widely available over time, leading AI developers consistently discover new, powerful, and potentially dangerous capabilities first.
Key insights
- Increasing compute investment efficiency, from hardware improvements and algorithmic gains, makes AI capabilities progressively cheaper to achieve and higher-performing for a given cost.
- Large compute investors are consistently the first to discover and push the frontier of new AI capabilities, including potentially dangerous ones.
- While capabilities eventually diffuse to smaller actors via the "access effect," leading entities can maintain a performance advantage due to continuous advancement and increased scaling.
Summary by alphaXiv.
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