How do you distinguish AI content from real, human-made content?
AI is incredibly good, I’d even say almost perfect.
And for many people, that uniformity of perfect templates is starting to feel annoying.
For example, a few days ago, someone publicly showed that they built Anti-Grammarly – a tool that intentionally adds mistakes to text instead of removing them (to make it feel more human). But the tool itself is AI, so it’s a bit contradictory.
1) When we’re so flooded with AI-generated content, do you have any methods to recognise it?
For example, I keep noticing the same patterns:
– long dashes,
– phrases like “It’s not X, it’s Y,” and similar structures.
2) But what about beyond text, like images or video?
1.1K views
Replies
In text, AI often feels too smooth predictable structure, balanced phrasing, and familiar patterns, while humans are messier, more specific, and emotionally uneven. In images/video, AI tends to look almost perfec t but slightly off in details, whereas real content usually has natural imperfections and context clues.
the better the models get, the less useful "is it ai" becomes as a question imo. what's important for me: does the post have a position someone could disagree with, smth meaningful, thoughts, ideas.
llm tend to give the median answer.
humans pick a side and take risks, so opinion is the actual signal
Those text patterns give it away every time. For images my background is in design so I usually check the lighting and background inconsistencies. AI generation still tends to make textures look a bit too smooth or plastic compared to an actual 3D render in Blender or a real photo.
Personal brand combined with video is huge differentiator.
Congrats on the launch! Love the UI. How did you handle?
For me, the biggest signal is not grammar, but predictability.
A lot of AI content feels too balanced, too polished, and follows the same structure: problem → nuance → conclusion.
I don’t think the goal should be to “hide AI”, though. The better goal is to use AI as a draft, then add real context, specific details, and judgment.
The tell isn't polish anymore, it's specificity. AI writes the average of everything, and a real person drops the one weird detail no model would predict. I trust the comment with a number and a scar over the one with three tidy bullet points.
For me it’s less about spotting AI and more about spotting absence: no lived constraint, no specific tradeoff, no weird-but-true detail, no authorial point of view. Human writing usually has fingerprints — priorities, taste, tiny asymmetries. AI content often feels too evenly lit.
It's hard to describe in detail. The vibes just feel...performative? Overly contrived?
For me it’s less about spotting AI and more about spotting absence: no lived constraint, no specific tradeoff, no weird-but-true detail, no authorial point of view. Human writing usually has fingerprints — priorities, taste, tiny asymmetries. AI content often feels too evenly lit.