Limitations of Large Language Models in Autonomous Knowledge Work Post-Navier-Stokes Analysis

The article argues that large language models (LLMs) require extensive human oversight and rigorous domain-specific specifications for reliable performance, challenging claims of near-term autonomy. It highlights structural limitations in applying LLMs to most knowledge work domains due to high costs of specification, vulnerability to reward hacking, and scalability issues with human review.

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