4 ms·

It's too structured and consistent. Imo. Has that AI smell to it, but I guess humans will eventually also start writing more like the AIs they learn from.

devsda 8mo ago
> guess humans will eventually also start writing more like the AIs they learn from. With the AI feedback loop being so fast and tight for some tasks, the focus moves on to delivery than learning. There is no incentive, space or time for learning.
- bpodgursky 8mo ago
  Won't be well received here, but this is the truth.
- OakNinja 8mo ago
  For me personally, both at work and in my free time, I spend _more_ time on writing things _that matter_ since I’ve freed up time by using LLM’s for boilerplate tasks. My motto is - If it wasn’t worth writing, it won’t be worth reading. A good example of writing where I’d recommend using LLM’s is product documentation. You pass the diff, the description of the task, and the context (existing documentation) with a prompt ”Update the documentation…”. Documentation is important but it’s not prose. However, writing a comment on hacker news is.
Hnrobert42 8mo ago
AI was trained on human writing.
- SecretDreams 8mo ago
  And now humans are trained on AI writing. Like what happens to YouTube videos that go through the compression algorithm 20 times.
- palmotea 8mo ago
  > AI was trained on human writing. AI output is not varied like real human writing. This is a very distinctive narrowing of style.
Dylan16807 8mo ago
This is the first time I've seen people accuse AI text of being "too structured and consistent" compared to human text. Usually it's about specific patterns or tons of repetition or outright mistakes.
- SecretDreams 8mo ago
  Patterns = consistent?
  - Dylan16807 8mo ago
    Patterns like heavy use of certain words or dashes or bullet points don't change how consistent the overall post is.
- roywiggins 8mo ago
  One example of being "too structured" is that LLMs love an explicit introduction and conclusion even when one that isn't really warranted. It's always telling you what it's going to say, and what it just said.

devsda 8mo ago

> guess humans will eventually also start writing more like the AIs they learn from. With the AI feedback loop being so fast and tight for some tasks, the focus moves on to delivery than learning. There is no incentive, space or time for learning.

bpodgursky 8mo ago
Won't be well received here, but this is the truth.
OakNinja 8mo ago
For me personally, both at work and in my free time, I spend _more_ time on writing things _that matter_ since I’ve freed up time by using LLM’s for boilerplate tasks. My motto is - If it wasn’t worth writing, it won’t be worth reading. A good example of writing where I’d recommend using LLM’s is product documentation. You pass the diff, the description of the task, and the context (existing documentation) with a prompt ”Update the documentation…”. Documentation is important but it’s not prose. However, writing a comment on hacker news is.

Hnrobert42 8mo ago

AI was trained on human writing.

SecretDreams 8mo ago
And now humans are trained on AI writing. Like what happens to YouTube videos that go through the compression algorithm 20 times.
palmotea 8mo ago
> AI was trained on human writing. AI output is not varied like real human writing. This is a very distinctive narrowing of style.

Dylan16807 8mo ago

This is the first time I've seen people accuse AI text of being "too structured and consistent" compared to human text. Usually it's about specific patterns or tons of repetition or outright mistakes.

SecretDreams 8mo ago
Patterns = consistent?
- Dylan16807 8mo ago
  Patterns like heavy use of certain words or dashes or bullet points don't change how consistent the overall post is.
roywiggins 8mo ago
One example of being "too structured" is that LLMs love an explicit introduction and conclusion even when one that isn't really warranted. It's always telling you what it's going to say, and what it just said.