1142
Vibe parenting
(lemmy.nz)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 28 Sep 2026
1142 points (97.9% liked)
Microblog Memes
12228 readers
3049 users here now
A place to share screenshots of Microblog posts, whether from Mastodon, tumblr, ~~Twitter~~ X, KBin, Threads or elsewhere.
Created as an evolution of White People Twitter and other tweet-capture subreddits.
RULES:
- Your post must be a screen capture of a microblog-type post that includes the UI of the site it came from, preferably also including the avatar and username of the original poster. Including relevant comments made to the original post is encouraged.
- Your post, included comments, or your title/comment should include some kind of commentary or remark on the subject of the screen capture. Your title must include at least one word relevant to your post.
- You are encouraged to provide a link back to the source of your screen capture in the body of your post.
- Current politics and news are allowed, but discouraged. There MUST be some kind of human commentary/reaction included (either by the original poster or you). Just news articles or headlines will be deleted.
- Doctored posts/images and AI are allowed, but discouraged. You MUST indicate this in your post (even if you didn't originally know). If an image is found to be fabricated or edited in any way and it is not properly labeled, it will be deleted.
- Absolutely no NSFL content.
- Be nice. Don't take anything personally. Take political debates to the appropriate communities. Take personal disagreements & arguments to private messages.
- No advertising, brand promotion, or guerrilla marketing.
RELATED COMMUNITIES:
founded 3 years ago
MODERATORS
I am genuinely curious if anyone knows if that has an effect or not. I wouldn’t think so per se, but if the AI interprets it as “double check your initial analysis for errors” it would actually work maybe?
For image generation it does. They give negative prompts like "wonky", "creepy", and "ugly", and the image generator evaluates how well the generated image matches those prompts, and produces images opposite those parameters.
Some poor artist in the training data not only had their work stolen to train the AI, but also had it labeled ugly and wonky.
That could also be human training as well. For example, an artist's work would be used as a "correct" sample, and the machine told to make some other image based on the correct samples, and people would mark results with those tags.
It won't affect the output meaningfully except by rerolling whatever training data ends up being associated with that or whatever. It may end up getting the model to "check" its work which just compares previous output to training data.
Earlier LLMs it helped a bit.
Now a days the harnesses know to spawn 'review' agents which will catch some mistakes but not all.
Lol "know". LLMs don't know anything. It's an advanced autocomplete.
That's not fair, my auto complete knows to always replace duck with duck even when I try to fix it back to duck!
You mean it will spawn agents to drive up the token costs and maybe fingers crossed catch some errors?
I'm on the 20 dollar a month z.ai plan, I've yet to hit the 5 hour limit. What token costs?
Claude I'd usually hit it in an hour at most lol
Keep on pumping out that mediocre work.
Correct
I literally have Claude send every edit to another model to check and make sure it isn't word barfing. Every file edit is a call to another model to make sure that edit doesn't suck.
Tokens++
When does it become easier to just write the thing yourself?
It really really depends on what 'it' is.
The LLMs are really very very good at pumping out scripts that can accelerate things like machine learning where it are wrangling data and doing proof of concepts.
They are also pretty good at basic CRUD feature work which is what the majority of software devs are actually doing.
The further out of the user's depth they go the more problematic they can be. They bake many many assumptions in and make hidden decisions that someone without domain expertise cannot easily intuit. Which means someone without experience can get into deep water and not realize and that is where a lot of the problems are.