Earlier quoted context omitted.
(I work at Anthropic) I agree. I use an LLM to write my code, but I do all of my writing by hand, since it helps me think. It reminds me of the transition over the last year from AI-assisted coding to AI doing all the coding. At first the code output wasn't good enough, and humans read and iterated on the code all day, so the details of the source code mattered. Now, the code is largely high quality and it meets a la…
One could imagine a universe where the agent fills in citations and supportive points and so on, or makes a more conclusive argument but it seems you’d get better results leaving that to read time if it’s a one-shot. Steering prompts etc. with tool use to bring in other sources etc of course change this entirely. And regardless, I doubt we will read content like that directly ever again. Agents will act as per-person…
Maybe sometimes, but not always. When you need to actually render the thing you have all kinds of micro decisions, like where to put the square, what color, how fast it spins, etc.
You might not care about the details, but maybe you do. If it spins at 10000 rpm, will you care then?
Natural language, and human communication in general, is ambiguous, and coding is in great part about disambiguation.
Sure, you can use English to disambiguate as much as needed, but wouldn’t you then end up with some yaml-like spec that wasn’t much easier to create in the first place?