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Are we ready for human-level AI by 2030? Anthropic's co-founder answers

Azeem Azhar's Exponential View

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Evaluating Human-Level AI: Evolution and Implications

This chapter explores the definition and measurement of human-level AI, emphasizing the importance of real-world applications over mere testing. It highlights the rapid advancements in AI capabilities, focusing on the transition from simple tasks to handling complex analyses, and discusses the implications of scaling laws in model training. Furthermore, the chapter examines the acceleration in AI model generation and expectations for future improvements, looking at how these advancements could impact various fields.

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