Three stories about AI, philosophy, and why naming things might be the hardest problem in computer…

📰 Medium · AI

Learn how naming things in computer science, especially in AI, can be a challenging problem and why it matters for knowledge transfer and machine understanding

intermediate Published 13 Apr 2026

Action Steps

Read the article to understand the author's perspective on the problem of naming things in computer science
Explore the concept of knowledge representation in AI and how naming things impacts it
Consider the challenges of transferring human knowledge to machines and how naming things can facilitate or hinder this process
Reflect on the importance of clear and consistent naming conventions in software development and AI engineering
Apply the insights from the article to your own work, such as when designing data models, creating APIs, or developing machine learning algorithms

Who Needs to Know This

Data scientists, AI engineers, and software developers can benefit from understanding the complexities of naming things in computer science, as it affects their work on knowledge representation, natural language processing, and machine learning

Key Insight

💡 The problem of naming things in computer science is a fundamental challenge that affects various aspects of AI, software development, and knowledge representation