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Tokens too cheap to meter

354 points · 227 comments · teoruiz

  1. jetrink · · focus · HN ↗
    > Tokens become cheaper than tool calls

    The author observes that a call to GPT-5.6 Luna is only 4-5 orders of magnitude more expensive than grep, and then predicts that at current rates of progress, calling an LLM will soon be cheaper than a grep. I think this is a good time to invoke Stein's Law: "If something cannot go on forever, it will stop." These efficiency improvements won't continue forever. It's more likely that the per-call cost of high-quality, compiled software like grep will be a lower-bound that LLMs asymptotically approach, rather than a line that they blow past with perpetual exponential progress. (Barring a true breakthrough in something like quantum computing or room-temperature superconductors.)

    1. stabbles · · focus · HN ↗
      What if the tool is more advanced, like an optimizing compiler: `g++ -O3 -march=native -x c++ - <<EOF ... EOF`

      If the compiler invocation is sufficiently slow, the llm could consider outputting a binary directly?

      For all we know matrix multiplications are a faster way to generate optimized machine code than branchy sequential compiler code with tons of heuristics and passes.

      1. echoangle · · focus · HN ↗
        > For all we know matrix multiplications are a faster way to generate

        “are” or “could be”?

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