Hacker News new | ask | show | jobs
by temp00345 1238 days ago
Personally, I don't want to waste my energy reading generated text.

At the core of it, people write in order to transmit some deeply distilled messages about life. It is about sharing the experience of being alive, either as advice or warning about what might happen or will inevitably happen to us. The love, the pain, the emotions, the fear of death, the acceptance - good writing is where we read these things in between the lines, where we feel and empathize with the author and as a result gain some deeper insight which helps us adapt to the ever changing circumstances around us.

There's a lot more encoded in that text than just semantic meaning of words or phrases. Not that all human writers have the 'talent' to encode more than that, but the ones who do manage to shift something inside us.

As of right now, I can feel that a text was generated. Same with images - and with sound. I can't exactly explain it, but it's the same kind of 'plastic' feeling and it's similar regardless of the form (text, image, sound).

I'd really like us to be able to keep this edge over the algorithms, but this might be impossible in the long run.

5 comments

> Personally, I don't want to waste my energy reading generated text

They got you covered, you can vomit the text back into ChatGPT and ask it to summarise it for you ;)

You could have a browser plug-in that does this automatically.
There's a post on the front page about a YouTube summarizer.
There's a number of websites (and probably plug-ins) that do this for you, e.g. https://tldrthis.com/# or https://beta.openai.com/examples/default-tldr-summary
There are a lot of use cases where I definitely don't mind AI-generated text. Keyword-focused search results, for instance.

If I'm Googling "what is npm" or "what are the five highest mountains in the world", I don't care one bit if the answer is from a human or a machine.

I care about it being correct. I might not care who wrote it, but as it turns out who wrote it is a good indicator of correctness.
Most of the top search results for such keywords are usually written by $30/article writers anyway. None of them have real subject matter expertise.

An AI that aggregates all the knowledge from the internet is more likely to be correct than some writer you hired off UpWork to pump out 100 keyword rich articles on 30 different topics.

I write to share technical details of systems I design or help support. I would love to offload this to a computer.
>At the core of it, people write in order to transmit some deeply distilled messages about life.

People write for all kinds of reasons, including this one. Agreed that this case isn't reproducible by machines...but the other 50-80% of writing, including technical writing, might be.

I’d love to see a blind test to see what we really can distinguish. I think I’d detect generated text at better than chance, but I’m not 100% sure.