Today, I explored the audio version of a chapter from the AI Safety Atlas as part of my AI safety studies. Below is the resource I reviewed.
Resource: AI Safety Atlas (Chapter 1: Capabilities Audio)
- Source: Chapter 1: Capabilities , AI Safety Atlas by Markov Grey and Charbel-Raphaël Segerie et al., French Center for AI Safety (CeSIA), 2025.
- Summary: The audio version of this chapter provides an overview of AI capabilities, focusing on the progression of modern AI systems toward artificial general intelligence (AGI). It discusses the increasing power of foundation models, such as large language models, and the importance of defining and measuring intelligence for safety purposes. The chapter explores challenges in defining intelligence, comparing approaches like the Turing Test, consciousness-based definitions, process-based adaptability, and a capabilities-focused framework. It emphasizes the latter, which assesses what AI systems can do, their performance levels, and the range of tasks they can handle, as the most practical for safety evaluations. The chapter also introduces frameworks for measuring AI progress on a continuous spectrum, moving beyond binary distinctions like narrow versus general AI, to better understand capabilities and associated risks.