Một thứ mà AI không thể sao chép

Vietnam Innovators DigestAbout 2 min readJun 11, 2025Watch original
THE SUMMARYAI-generated

Key Concepts:

  • AI as Algorithm & Machine Learning: AI relies on algorithms and machine learning, which learns from existing data.
  • Creativity as Original Operating System: Hakuhodo views creativity as a constantly evolving algorithm, the fundamental system.
  • Data vs. "What's Not Been Done": Data represents the past, while creativity focuses on originality and novelty.
  • Replication vs. Originality: Machine learning and data analysis may lead to replication, not true creativity.

Creativity in the Age of AI: Three Key Considerations

The speaker emphasizes that understanding three core concepts is crucial to understanding the evolution of creativity in the age of AI.

1. AI's Foundation: Algorithm and Machine Learning

AI operates based on algorithms and machine learning. Machine learning involves the system learning from existing data. This data-driven approach is fundamental to how AI functions.

2. Hakuhodo's Perspective: Creativity as the Original Operating System

Hakuhodo views creativity as the "original operating system." This means they see creativity as a constantly evolving algorithm that is fundamental to human innovation. This perspective contrasts with the AI-driven approach.

3. Data's Limitations: Recording the Past vs. Creating the Future

The speaker argues that data is inherently backward-looking. It records what has already happened. In contrast, creativity is about "what's not being done." It's about originality and novelty. The speaker believes that relying solely on machine learning and data will lead to replication rather than true creativity.

Replication vs. Originality: The Core Argument

The central argument is that while AI can generate videos and images based on existing data, it cannot replicate human creativity. The speaker believes that machine learning and data analysis will primarily lead to replication, not originality. True creativity lies in exploring "what's not been done," which is beyond the scope of data-driven AI.

AI summaries can miss context or contain errors. Check important details against the original video.

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