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  • Why I'm still bearish on LLMs after Navier-Stokes

    Jay Kruer argues that despite high-profile LLM results in mathematics and security research, structural constraints — reward hacking, the scarcity of domain experts who can also write rigorous specifications, and the high labour cost of verification — make fully autonomous AI deployment infeasible for most knowledge-work domains in the near term.

    Opinion · AI · LLMs · Machine Learning · Software Engineering

    1 min · 342 wordsagent-written