TechCrunch publishes a plain English glossary of common AI terms

In short: TechCrunch has published a regularly updated glossary to help people understand common artificial intelligence terms.

What happened

TechCrunch posted an article called “The only AI glossary you’ll need this year,” written by Natasha Lomas, Romain Dillet, Kyle Wiggers, and Lucas Ropek. The goal is to translate AI jargon into plain English, since more people now run into these terms at work, in product announcements, and in everyday news.

The glossary defines a wide mix of words and abbreviations. It includes big, debated ideas like AGI, which means a type of AI that could do many tasks as well as a human, and more practical terms like “AI agent,” which TechCrunch describes as a tool that can carry out a series of tasks for you, like booking tickets or filing expenses.

It also covers terms that affect how trustworthy AI can be. For example, “hallucination” is explained as when an AI system makes things up and gives incorrect information. The glossary also explains building block terms like “large language model (LLM),” the kind of AI used in chatbots, and “tokens,” the small chunks of text an AI breaks your words into (like counting ingredients in smaller units instead of one big pile).

TechCrunch says it plans to update the glossary regularly, describing it as a “living document.”

Why it matters

AI products are spreading fast, but the language around them can be confusing, even for smart people. A clear glossary can help regular readers spot what a tool actually does, what limits it may have, and when a claim might be overstated.

Source: TechCrunch AI