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The only thing constant in technology is change, except for unrealistic hopefulness

TL;DR AI

Key summary

2 min read
  1. The article links today’s AI hype to past debates about programming in natural language.

  2. Using Edsger Dijkstra’s arguments, it warns that convenience can introduce ambiguity, errors, and harder-to-fix mistakes.

  3. It argues that change management needs a balance of machine-driven tools and human-led judgment.

  4. Many companies are overusing automated, data-driven approaches while undervaluing the human side of innovation and problem-solving.

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