The mistake of conflating intelligence and power

· Source: Dwarkesh Podcast · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Novice, quick

Summary

The article discusses the common mistake of conflating intelligence with power, particularly in the context of Artificial Superintelligence (ASI). It defines intelligence as the "ability to achieve your goals across a wide range of domains" but notes this definition can lead to equating intelligence with power, as seen with figures like Donald Trump, Xi Jinping, Vladimir Putin, or Stalin. It contrasts this with an alternative definition focusing on manipulating abstract concepts, which doesn't correlate strongly with real-world power. The author argues that real-world power stems from authority and trust, enabling collaboration, rather than individual "galaxy brain scheming." The piece suggests that "automated firms" will outcompete others through capitalist mechanisms, rather than a single AI outthinking everyone, drawing parallels to how collective intelligence (like national IQ) drives societal outcomes more than individual genius.

Key takeaway

For AI strategists evaluating future AI impacts, recognize that advanced AI's "intelligence" in problem-solving doesn't automatically translate to real-world power. Focus on how AI systems integrate into existing social and economic structures, enabling "automated firms" to gain competitive advantage through collaboration and trust, rather than assuming a singular, all-powerful AI entity. Your risk assessments should account for systemic shifts, not just individual AI capabilities.

Key insights

Conflating intelligence with power is a common error, especially when considering advanced AI.

Principles

Topics

Best for: AI Ethicist, Consultant, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dwarkesh Podcast.