Monday, January 19, 2026

Challenges in Computer Science: Why AI Isn’t the Solution – An Exploration of Input and Output Dynamics

Unlocking the Power of Naming in AI and Tech

In the world of computer science, naming isn’t just a matter of semantics—it’s a crucial element that shapes our understanding and control over technology. As Phil Karlton famously said, “There are only two hard things in computer science: cache invalidation and naming things.”

Key Insights:

  • AI’s Role: In an age dominated by AI coding assistants, undocumented problems remain unaddressed. Naming them is vital for future innovations.
  • Valuable Byproducts: History shows us that the real discoveries often emerge as byproducts. Penicillin originated from a lab mess; the Internet began as a nuclear command project.
  • The Art of Fitting: As developers, we’re transitioning from architects to “fitters”—leveraging AI-generated solutions while retaining the knowledge that comes through the struggle.

The essence of software innovation lies in our ability to name and understand the complexities behind the code. Join the conversation on how we can harness these insights for greater technological advancements!

🔗 Share your thoughts on AI and naming in the comments! #ArtificialIntelligence #TechInnovation #SoftwareDevelopment

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