Taste in the age of AI and LLMs

Hacker News / 4/8/2026

💬 OpinionSignals & Early TrendsIdeas & Deep Analysis

Key Points

  • The article argues that AI and LLMs change how “taste” in writing, design, and culture is formed and evaluated, shifting emphasis toward signals beyond raw output quality.
  • It discusses how models can amplify patterns from training data, making it harder to distinguish genuine preference, curation, and originality from algorithmically generated similarity.
  • It emphasizes the increasing importance of human judgment in setting goals, defining constraints, and selecting what should be produced or retained.
  • The piece frames taste as an evolving skill—requiring feedback loops, intentional practice, and active curation—rather than something that can be fully delegated to tools or models.