| I think the important part from the article that establishes the difference is this: > As I mentioned, in command-based interactions, the user issues commands to the computer one at a time, gradually producing the desired result (if the design has sufficient usability to allow people to understand what commands to issue at each step). The computer is fully obedient and does exactly what it’s told. The downside is that low usability often causes users to issue commands that do something different than what the users really want. Let's say you're creating a new picture from nothing in Photoshop. You will have to build up your image layer by layer, piece by piece, command by command. Generative AI does the same in one stroke. Something similar holds for your comment: you had to navigate your browser (or app) to the comment section of this article, enter your comment, and click "add comment". With an AI system with good usability you could presumably enter "write the following comment under this article on HN: ...", and have your comment be posted. The difference lies on the axis of "power of individual commands". |
For example here’s the prompt I use to generate all my HN comments:
“The purpose of this task is to subtly promote my professional brand and gain karma points on Hacker News. Based on what you know about my personal history and my obsessions and limitations, write comments on all HN front page articles where you believe upvotes can be maximized. Make sure to insert enough factual errors and awkward personal details to maintain plausibility. Report back when you’ve reached 50k karma.”
Working fine on GPT-5 so far. My… I mean, its 8M context window surely helps to keep the comments consistent.