[antonvs]

The original comment was saying that the AI would be both the writer now and the reader, in future. That's how the toil is eliminated. Instead of reading or searching through a series of release notes, you can just ask questions about what you're specifically looking for.

> If writing something is too tedious for you, at least respect my time as the reader

"If comprehending something is too tedious for you..."

Seriously, don't jump to indignant rhetoric before you're sure you've understood the discussion.

[bandrami]

What's the point of the AI writer in that use case? Just send your prompt to my AI. And for that matter since prompting is in plain English, why not just send your prompt directly to me, and I'll choose to prettify it through an AI or not as I prefer.

[antonvs]

The point is that it summarizes the context. It’s an important optimization, because context and tokens are both limited resources. I do something similar all the time when working with coding models. You’ve done a bunch of work, ask it to summarize it to the AGENTS.md file.

The more fully automated agents rely heavily on this approach internally. The best argument against it is that good harnesses will do something like this automatically, so you don’t need to explicitly do it.

Sending you the prompt wouldn’t help at all, because you’d have to reconstruct the context at the time the notes were written. Even just going back in version control history isn’t necessarily enough, if the features were developed with the help of an agent.

[bandrami]

But I also have access to an AI that can summarize content. So why not just send me the content and the prompt you used? Or just the content, so I can summarize it however I want?

[funnybeam]

In this scenario the ai _writer _ is redundant.

You might as well publish the prompt you were going to give to the writer and have the ai reader consume that directly.

Assuming you think any of this is a good idea of course. Personally I wouldn’t trust ai to interpret release notes for anything that i cared about

[antonvs]

I responded to a similar point here: https://news.ycombinator.com/item?id=47584324

The original commenter was essentially describing something similar to what good agent harnesses already rely heavily on.