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In the Middle of Artificial Intelligence Discovery Problem: Information Buting Challenges

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In the Middle of Artificial Intelligence Discovery Problem: Information Buting Challenges
Photo: Zach M / Unsplash

With the rapid development of artificial intelligence technologies, a new problem comes into the forefront: **music problem. Millions of AI models and content they produce are becoming increasingly difficult for users to find the right information they need. This is a critical weakness of the technology ecosystem.

We can separate the problem to:

  • The amount of content produced by AI reached unmanaged sizes by human
  • Search engines and indexing systems have been enough on this scale
  • Quality control and accuracy certification mechanisms were missing
  • The results of similar models are difficult to distinguish, the user experience is worsened

In addition, the variety of AI tools is increasing, which has become the challenge to know what problem the tool is. A developer or business spends serious time in choosing and exploring the most suitable among thousands of models available.

  • For Solution*, better cataloging in the ecosystem, semantic search capabilities and reliable libraries need. Human-centric filtering and community feedback should also be the important part of the process. Although technology develops, you will be limited to value without discoverability.