Rich Hickey Recasts LLMs as Automation
Rich Hickey argues that LLMs are automation rather than tools because they act without continuous human control, sensory feedback, or predictable boundaries. His warning is that outsourcing coding and reading may save time while eroding expertise and understanding.
Hickey’s strongest point is about the human cost of delegation, though calling LLMs “automation” can obscure interactive uses where developers retain meaningful control.
- –The tool-versus-automation distinction highlights how coding agents can replace practice instead of extending skill.
- –Summarization and generated code may remove the learning that comes from reading, debugging, and forming arguments directly.
- –LLM unpredictability makes feedback loops, verification, and bounded workflows essential for developer tools.
- –The debate suggests choosing AI interaction models based on the goal: use assistance for learning, automation for execution, and rigorous review for both.
DISCOVERED
1h ago
2026-10-12
PUBLISHED
3h ago
2026-10-12
RELEVANCE
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svieira