

Dwarkesh and Noah Smith on AGI and the Economy
1528 snips Aug 4, 2025
Dwarkesh Patel, host of the Dwarkesh Podcast, and Noah Smith, author of No Opinion, dive into the fascinating world of artificial general intelligence (AGI). They discuss the various definitions of AGI and its potential economic impact. The duo addresses concerns about AI's role in job automation versus its ability to complement human labor. They also explore the future of income distribution, including concepts like Universal Basic Income, and how an AI-driven economy could reshape global power dynamics and the essence of work.
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AI Lacks Human Learning Traits
- AI currently lacks capabilities that make humans valuable in work contexts, such as building context and learning from feedback.
- Unlike human workers, AI models do not maintain knowledge over multiple sessions, limiting their economic value.
Defining AGI by Job Automation
- AGI can be defined economically: AI that can do nearly any human job as well, fast, and cheaply.
- Reasoning by AI is not enough to create economic value or substitute human jobs fully.
Humans Not Perfectly Substitutable
- Humans are general intelligences but still not perfectly substitutable due to unique skills and memory.
- Expecting AI to fully substitute humans ignores the diversity and context human workers bring to jobs.