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AI Can’t Beat Humans Yet

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The Rise of AI in Writing: A New Era for Content Creators

There is something ironic about trying to make AI content more human. But there’s also something exciting about it because our work as writers and content creators changes fundamentally.

A DJ’s Perspective

This shift reminds me of my time as a DJ – many moons ago. I came up in the era when DJs would haul eight to 10 crates of vinyl records to every gig. During sets, I’d frantically dig through these crates, searching for the perfect next track. Like a writer drawing from their mental library of phrases and ideas, I had to remember where specific records were and develop my own tagging system to find them faster.

The Introduction of Serato

Then, Serato changed everything. This new technology lets you use two special vinyl records to play your entire digital music collection. No more hauling crates – any song was instantly accessible. The game changed completely. While some advantages disappeared (the exclusivity of having rare records), new creative possibilities emerged (like seamless remixing and creating custom edits).

The Same Transformation in Writing

The same transformation is happening to writing today: LLMs are our Serato. Instead of laboriously crafting every sentence from scratch or drawing only from our mental archives, we can instantly access diverse expressions and ideas. Like digital DJing tools, AI writing assistants give us a vast creative palette to work with.

Embracing the Shift

Writers should embrace this shift! There’s no special honor in doing things the hard way. However, just as a Serato DJ still needs musical knowledge and performance skills, raw AI output still needs human refinement. Without careful editing, AI-generated content feels sterile and impersonal, making it less likely to resonate with readers or perform well on social platforms.

What is the Unique Value of Humans in Content Creation?

At its core, this piece about editing AI content is really about one question: “What is the unique value humans can still add to content?” While humans sometimes overestimate true novelty (most progress is incremental), we remain the essential curators of AI output. Maybe what matters most isn’t whether AI created something but whether humans recognize its value.

The Power of Human-AI Collaboration

Through deep research and client work, I’ve identified seven uniquely human writing capabilities that no AI can genuinely replicate:

  1. Patterns: Detecting subtle signals in wording, rhythm, and analogies that resonate with shared human experience.
  2. Topics: Intuitive understanding of what readers will find genuinely interesting or relevant.
  3. Experience: Personal stories and perspectives, especially from individuals with established reputations.
  4. Judgment: Applying nuanced moral reasoning beyond programmed guidelines.
  5. Taste: Making decisions about what works stylistically.
  6. Richness: Describing tastes, smells, textures, and sensations from lived experience.
  7. Secrets: Incorporating insights or data not available in AI training sets.

The Limitations of AI Content

While AI can process vast amounts of data and generate high-quality content, there are limitations to its ability to replicate human creative capabilities. Here are four categories that highlight the strengths of AI and humans:

1. Technical Execution

  • AI:
    • Processing and error prevention (grammar, spelling, consistency)
    • Maintaining strict formatting across long documents
    • Following detailed content guidelines with precision
    • Producing grammatically accurate content at scale
  • Humans:
    • Breaking established rules in meaningful, innovative ways
    • Creating new styles, formats, and genre-bending approaches
    • Developing distinctive personal writing styles
    • Writing with an authentic voice from lived experience

2. Knowledge & Information

  • AI:
    • Synthesizing information from vast knowledge bases
    • Generating factual content when based on data
    • Creating comprehensive explanations of complex topics
    • Cross-referencing information from multiple domains
  • Humans:
    • Contributing original research and firsthand observations
    • Developing genuinely novel philosophical insights
    • Creating work driven by authentic moral conviction
    • Writing from a deep cultural understanding of specific communities

3. Production & Adaptation

  • AI:
    • Generating high volumes of content quickly
    • Creating variations on existing themes and formats
    • Translating between languages with high accuracy
    • Restructuring content for different audiences and platforms
  • Humans:
    • Inventing entirely new literary forms and approaches
    • Crafting narratives that respond to the cultural moment
    • Creating humor that relies on nuanced cultural context
    • Developing satire that addresses contemporary issues

4. Data & Emotional Intelligence

  • AI:
    • Converting structured data into readable narratives
    • Summarizing lengthy content while preserving key information
    • Creating consistent documentation from technical specifications
    • Adapting content across multiple formats and channels
  • Humans:
    • Creating characters with complex, contradictory motivations
    • Writing dialogue that captures psychological nuance
    • Conveying subtle emotional states through deliberate word choice
    • Crafting stories that evoke powerful emotional responses

Overcoming the Limitations of AI-Generated Content

The difference? Humans can learn to overcome them. The DJ analogy really comes full circle here. Just as the best DJs don’t simply play songs in sequence but create something new through their mixing, the most effective content creators don’t just edit AI output – they transform it.

Conclusion

In today’s landscape, the most valuable content comes from creators who:

  1. Understand where AI tools excel (the technical baseline).
  2. Recognize where human input is essential (those seven unique capabilities).
  3. Can identify and eliminate those telltale AI patterns.
  4. Know how to blend the two seamlessly into something greater than the sum of its parts.

FAQs

Q: What is the Serato analogy in the context of AI-generated content?

A: The Serato analogy refers to the idea that AI-generated content is like a pre-recorded music collection that can be easily accessed and manipulated. Just as a DJ uses Serato to create a unique mix of music, human content creators can use AI-generated content as a starting point and then add their own unique touch to create something new and valuable.

Q: What are the limitations of AI-generated content?

A: AI-generated content can lack the nuance, creativity, and emotional depth that human writers can bring to a piece. While AI can process vast amounts of data and generate high-quality content, it may struggle to replicate the unique perspectives, experiences, and insights that human writers can bring to a topic.

Q: How can human content creators work with AI-generated content?

A: Human content creators can use AI-generated content as a starting point and then add their own unique touch to create something new and valuable. This can involve editing, rewriting, and refining the content to make it more engaging, nuanced, and emotionally resonant.

Q: What are the benefits of collaborating with AI in content creation?

A: Collaborating with AI in content creation can save time, increase productivity, and provide new insights and perspectives. AI can help with research, organization, and formatting, allowing human writers to focus on the creative aspects of content creation.

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