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LLMs reward expertise

seangoedecke.com · 917 words · saved by 1 readers

In the 2010s, if you had technical gaps (say, you couldn’t write CSS), you had to either rely on a skilled colleague or just hope that the answer to your exact problem was out there on the internet. Today, everyone can write sort-of-okay CSS by delegating the task to an LLM. LLMs make everybody into a generalist. Because of this, lots of people don’t think there’s any skill involved in working with LLMs. If you want the product that LLMs can deliver — PhD-level mathematics, pretty good but sometimes tasteless computer code, or awkward LinkedIn-style writing — you can simply ask for it. Since everyone is talking to the same models, “skilled prompters” are getting the same results as people touching LLMs for the first time. This is wrong. The most important skill in prompting is expertise in the domain you’re prompting for. A good illustration of this is Terence Tao’s conversation with ChatGPT about the recently-discovered counterexample to the Jacobian Conjecture. This is not the same C

In the 2010s, if you had technical gaps (say, you couldn’t write CSS), you had to either rely on a skilled colleague or just hope that the answer to your exact problem was out there on the internet. Today, everyone can write sort-of-okay CSS by delegating the task to an LLM. LLMs make everybody into a generalist. Because of this, lots of people don’t think there’s any skill involved in working with LLMs. If you want the product that LLMs can deliver — PhD-level mathematics, pretty good but sometimes tasteless computer code, or awkward LinkedIn-style writing — you can simply ask for it. Since e

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