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Attention is All You Need
Artificial intelligence functions as an engine for human attention, potentially accelerating the pace of institutional and societal change to a destabilizing degree.
What: Technologist 'Deepfates' argues that AI automates attention in the same way the Industrial Revolution automated muscle, decoupling coordination from human time-constraints. The piece posits that flooding society with inexpensive, machine-generated intelligence threatens to shatter the 'pace layers'—fashion, commerce, infrastructure, governance, culture, and nature—that maintain civilizational stability.
Why it matters: This perspective suggests that our current societal friction is not just a technological challenge, but a structural one where the speed of intelligence-driven change outpaces the slower, stabilizing institutions that govern society.
Deep dive
- The author reframes AI as a technology that automates coordination and 'attention minutes,' rather than just computation.
- The 'pace layers' framework (popularized by Stewart Brand) illustrates why institutions move slowly: they require massive coordination of human attention.
- AI enables the rapid execution of tasks that previously required human attention, acting as a 'force multiplier' for problems that were previously limited by human bandwidth.
- The risk is not technological singularity, but a social 'earthquake' caused by the rapid, uneven acceleration of different societal layers.
- Maintenance is highlighted as the primary victim of the current attention economy, as it requires care that AI might help perform if directed correctly.
Decoder
- Pace Layers: A theoretical framework defining six layers of society that move at different speeds (fashion/fast to nature/slow), theorized to keep civilization stable by preventing rapid change from tearing through foundational structures.
- Shearing Layers: The architectural concept that buildings consist of layers with different lifespans (e.g., structure lasts decades, furniture lasts years), which inspired the pace layers framework.
Original article
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