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Why People Don’t Read AI-Generated Sh*t

🌈 Abstract

The article discusses the differences between human-written content and AI-generated content, highlighting the unique qualities and limitations of each.

🙋 Q&A

[01] Humans vs. AI

1. What makes humans unique compared to AI?

  • Humans are made as sinners and make mistakes, which is why psychology and human error horror stories exist. AI, on the other hand, is an "all-perfect thing" that doesn't make any mistakes.
  • Humans have a wide range of unique experiences that make them human, unlike a pig that only rolls around in the mud.
  • Humans use words and language in a natural, conversational way, unlike AI chatbots that use overly technical or bizarre language.
  • Humans have a sense of humor and can convey information in a funny way, unlike the dry, factual approach of AI.

2. Why don't people read AI-generated content?

  • People can easily detect AI-generated content from a mile away, as it often has certain telltale signs like the use of colons in headlines, excessive buzzwords, and a formulaic "7 tips" structure.
  • AI-generated content lacks depth and storytelling, and instead focuses solely on conveying knowledge in a bullet-point format without going into detail.
  • AI lacks the basic human qualities of humor and a genuine sense of personality, which makes the content feel inauthentic and unengaging to readers.

[02] AI vs. Human Writing

1. What are the key differences between AI-generated and human-written content?

  • AI content is often perceived as overly perfect, lacking the human touch of mistakes and imperfections that make content feel authentic.
  • Humans have a unique ability to convey information in a compelling, storytelling manner, drawing on their diverse experiences, whereas AI content is more straightforward and factual.
  • Human writing is more natural and conversational, while AI content can sometimes sound unnatural or overly technical.
  • Humans have a better sense of humor and can infuse their writing with wit and personality, which AI often struggles to replicate.
Shared by Daniel Chen ·
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