Not sure if that picture or post was created by an AI or a real person? You’re not alone. AIs have been trained on human-created information, but they’re not quite human. Here are some giveaways to help you determine if something was generated by an AI or not.
Repeating Phrases
Sometimes, the text might repeat certain words or phrases too often. This can make the content feel unnatural because humans usually vary their language more.
Odd Mistakes
The content might have strange errors, like mixing up names or facts that don’t make sense. These mistakes are usually not common for humans to make when they know the topic well.
Unusual Word Choices
You might find some words that don’t fit well in the sentences or sound too formal or too technical. This happens because the program doesn’t fully understand how humans use language naturally.
Lack of Deep Understanding
The content might miss the deeper points of a topic or not respond correctly to complex ideas. It often sticks to more general information because it doesn’t truly “understand” like humans do.
Generic Responses
The answers or explanations might feel very basic or too broad. They often don’t provide new information or a unique viewpoint.
Consistent Tone
The tone of the content stays the same throughout, even in situations where a human writer might show excitement, humor, or sadness. This makes the text feel flat.
Inconsistent Details
You might notice that some parts of the content contradict each other or don’t add up. This is because the program can’t keep track of context very well over longer texts.
Lack of Personal Touch
The content doesn’t include personal experiences or opinions. It feels like it could have been written by anyone, lacking a personal touch.
Perfect Formatting
The text might be perfectly formatted with excellent grammar and punctuation. While this might sound good, it’s often too perfect with no small mistakes that humans usually make.
No Cultural Nuances
The content often misses cultural references or subtle language nuances that are natural for human writers familiar with the culture or topic.
Rapid Response
If the content is produced very quickly, especially on complex topics that would usually take time to think about and write, it might be computer-generated.
Superficial Details
Details and examples used can seem a bit off-topic or not exactly right for the situation. This is because the program doesn’t fully understand how examples support the main point.
Difficulty with Sarcasm or Jokes
The text might try to be funny or sarcastic but misses the mark. The humor doesn’t feel natural or timing is off.
Lack of Flow
The overall flow of the text can be choppy. Ideas might not connect smoothly, and paragraphs can seem just stuck together.
Repetitive Information
You might notice that the same information is stated in different ways throughout the content. This repetition is a common issue when a program tries to fill space.
Strange Textures
Sometimes, computer-generated images have unusual textures that don’t look real. For example, skin might look too smooth or shiny, or materials like fabric and metal might not look right. These textures can give away that the image wasn’t made by a human.
Unnatural Proportions
The proportions in the image might be off. For instance, a person could have too long arms or an oddly shaped head. These mistakes happen because the computer doesn’t understand how things should look in real life.
Mismatched Shadows
Shadows in the image might not match where the light is coming from. This can make the image look unrealistic because shadows play a big part in how we see depth and space.
Weird Backgrounds
The backgrounds in images can sometimes look very strange or have parts that don’t match up right. You might see a tree cutting through a building or a car floating above the road. These errors happen because the computer doesn’t always know how to put everything together in a way that makes sense.
Odd Reflections
Reflections in water, mirrors, or other reflective surfaces might look wrong. For example, the reflection might show something that isn’t in the image or miss parts that should be reflected. This is because creating accurate reflections is a complex task that computers often get wrong.