The comprehensive new guide aims to help everyday consumers confidently nod along to the exact same meaningless jargon.
SAN FRANCISCO — In an effort to clear up mounting public confusion over artificial intelligence, a consortium of leading tech firms has released a comprehensive new glossary to help everyday users determine exactly which highly sophisticated algorithm is currently stealing their data.
The 400-page document, published Tuesday, aims to demystify the rapidly evolving landscape of AI terminology, ensuring that when consumers nod along during a product announcement, they are correctly identifying whether the software is hallucinating, scraping, or simply repackaging a Wikipedia article from 2014.
According to the guide, readers who previously felt intimidated by terms like "Large Language Model" can now confidently understand that the phrase simply refers to a very large spreadsheet that guesses the next word based on things it read on Reddit. The guide also tackles the often-misunderstood term "training data," clarifying that this is a highly technical industry phrase for "everything you have ever posted on the internet without reading the terms of service."
We realized that a lot of ordinary people were hearing words like 'neural network' and feeling entirely left out of the conversation. Now, thanks to this glossary, my own mother can look at a chatbot confidently spitting out a fake legal citation and accurately declare, 'Ah, a flawless deployment of zero-shot prompting.'
The glossary also aims to standardize the industry's defensive vocabulary. A dedicated appendix instructs users that when an AI system provides a factually incorrect answer, it is "hallucinating," whereas when a human does it, it is a "fireable offense." Other helpful clarifications include defining "open-source" as "owned by Meta," "alignment" as "ensuring the bot doesn't say slurs before the IPO," and "prompt engineering" as "typing."
Industry insiders hope the resource will finally bridge the gap between brilliant developers and the hapless public. Tech publications have already begun integrating the updated terminology into their daily reporting, promising readers that they will continue to pretend "AGI is just two years away" as long as the venture capital checks keep clearing.