The Dot and the Swarm
The author reflects on misjudging how AI agent coordination would evolve, having expected humans would need to carefully orchestrate multi-agent systems like building a company. Instead, advances in model capability follow the Bitter Lesson—raw ML power solves problems previously thought to require intricate human-designed rules. Similar patterns emerged in prompting and information retrieval, where newer models reduced value of elaborate templates and chains by learning to plan and seek data themselves.
Key points
- Author overestimated need for careful human management of AI agent teams
- Brute-force improvements in ML capability eliminate need for elaborate coordination systems
- Pattern repeats: elaborate human-designed systems replaced by stronger models
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