Is the term "One-shotting" here even appropriate? In the context of AI one-shotting means giving your llm a single prompt and having it return a surprisingly good result (usually code related) without requiring further input, but the llm (probably) still iterates heavily before showing the results. When Codex "one-shots" something it depends a ton on the fact that code is easily testable.

Lately "one-shotting" means "without human steering / feedback"

I think its a consequence of the improvements in harnesses and LLMs of the last year. Before they had a hard time self-reviewing the results and proceeding to a second iteration, now they are quite good at it although not perfect.