Source record

@tjrobertson52 TikTok profile avatar

@tjrobertson52 source record

POV: You've been arguing with ChatGPT for 30 mins over something simple 😭 Here's the fix that'll save your sanity! #ChatGPT #AITips #TechHacks #ProductivityTips

2025-06-22published
tiktokplatform
0public insights

Topics Mentioned

Public Evidence Excerpt

i

Do you ever find yourself going to ChatGPT. For what seems like a simple task, only to find yourself 30 minutes later so frustrated that it hasn't been able to do this super simple thing that you find yourself telling it that you hope there's a special place in hell just for large language models that don't do what their users ask them to do? Yeah, me neither, but I hear this happens to people, so I just want to share some tips I've found to avoid these super frustrating situations with large language models and get the output you want quicker so you're not spending 30 minutes doing something that you could have done yourself in 10. What I found is this almost always happens because the large language model is confused about what you want from it. There's usually some ambiguity in the initial prompt or one of your follow up prompts, and so it doesn't quite give you what you want. And so

Related Passages

i

These are public discovery snippets linked to the same source record. A snippet can end early when the public page keeps only short evidence context.

Do you ever find yourself going to ChatGPT. For what seems like a simple task, only to find yourself 30 minutes later so frustrated that it hasn't been able to do this super simple thing that you find yourself telling it that you hope there's a special place in hell just for large language models that don't do what their users ask them to do? Yeah, me neither, but I hear this happens to people, so I just want to share some tips I've found to avoid these super frustrating situations with large language models and...
the conversation from there. The one thing you always want to avoid is asking the model to fix the same mistake more than once. What almost always ends up happening in this case is every output gets a little bit worse than the output before. And that's where you get in this frustrating cycle where you end up saying things that you would never say to your worst enemy. To a large language model. Not that I would know.

Public Insight Cards

i

No public insight cards are linked to this source yet. The source is still searchable as attributed evidence, but no reviewed topic card has been promoted for it.