Generative AI (Definition)

Generative AI is a type of artificial intelligence that generates new textual content. Models like GPT-4 are examples of generative AI. Comment generation tools use generative AI to craft human-like responses.

Why it matters

In 2026, generative AI has become a powerful tool for creating content, including LinkedIn comments. However, direct use without human supervision exposes risks: generic content, lack of context, and algorithmic penalties. The human-in-the-loop approach is essential: generative AI creates drafts, then humans review, personalize, and validate before publishing. This combination preserves authenticity while benefiting from AI speed.

Example

A generative AI model like GPT-4 analyzes a LinkedIn post about SaaS marketing and generates a 50-word comment that:
  • References specific points from the post
  • Uses a professional tone
  • Asks a relevant question
You review this draft, add your personal experience, and personalize before publishing. The result combines AI speed with your authentic voice.

Common mistakes

1. Using generative AI without supervision: Publishing AI-generated content directly without review exposes you to penalties. 2. Ignoring context: Generative AI can generate out-of-context content. Always verify relevance. 3. Not personalizing: Using generated content as-is without personalization sounds fake and is detected by LinkedIn. 4. Overestimating AI capabilities: Generative AI is powerful but always requires human supervision for authenticity.

Related terms

See also: AI-Generated Comments, Human-in-the-Loop, AI Comment Generator, Spam Detection

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