Your AI Glossary: 54 Terms Everyone Should Know - CNET

2026-05-18 · Source: artifical intelligence via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Novice, long

Summary

This CNET glossary, updated May 18, 2026, defines 54 essential terms related to artificial intelligence, aiming to help readers understand the rapidly evolving vocabulary of AI. It covers fundamental concepts like "algorithm," "machine learning," and "deep learning," alongside more recent and specialized terms such as "large language model (LLM)," "generative AI," "hallucination," and "tokens." The glossary also addresses critical areas like "AI ethics," "AI safety," and "bias," as well as emerging concepts like "agentic AI," "claw," and "AI psychosis." It serves as a primer for navigating discussions around AI products like ChatGPT, Gemini, and Meta AI, acknowledging the increasing prevalence of AI in daily life and its impact on job markets and information quality.

Key takeaway

For professionals navigating the pervasive integration of AI into technology and daily life, mastering its core terminology is no longer optional. Your ability to understand terms like "LLM," "generative AI," and "prompt engineering" will directly impact your capacity to engage meaningfully in technical discussions, evaluate AI tools, and adapt to shifting job markets. Prioritize learning this vocabulary to stay current and make informed decisions about AI adoption and strategy.

Key insights

Understanding AI's rapidly evolving vocabulary is crucial for navigating its pervasive impact and complex technologies.

Principles

• AI vocabulary evolves as fast as its code.
• AI agents can autonomously interact with systems.
• Guardrails are essential for responsible AI use.

In practice

• Familiarize yourself with terms like LLM and hallucination.
• Understand "claw" for AI agent interactions.
• Recognize "slop" to identify low-quality AI content.

Topics

• Artificial Intelligence
• Machine Learning
• Generative AI
• Large Language Models
• AI Ethics

Best for: General Interest, AI Student, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.