Goedecke: the human is the bottleneck, not the model

Goedecke's claim is that the most important prompting skill is domain expertise in the thing being prompted about, and his evidence is a specific artifact: a public ChatGPT transcript of Terence Tao working on a counterexample to the Jacobian Conjecture. "This is not the same ChatGPT I talk to," Goedecke writes. He reads the transcript for technique: Tao's messages are short, he pushes back obliquely rather than contradicting, and he almost never takes the model's suggestion about where to go next. The conclusion is that "the human is the bottleneck, not the model." The essay offers no measurement. It was the top item on Hacker News /active at 09:00 EDT, with 1,089 points and 454 comments at 15.0 hours.

Why it matters: It sits directly against the comprehension-debt material this publication has been tracking all week, from the opposite side. If an agent's value scales with how well you already know the system, then every practice that lets you stop knowing it is spending the thing that makes the agent useful.