AI’s Language Puzzle: Who Has the Telescope?
Consider the classic riddle: "I saw a man on a hill with a telescope." This simple sentence, which can mean two very different things, perfectly illustrates syntactic ambiguity. It's a…
Tag: large language models
AI’s Linguistic Blind Spots
AI language models can write poetry and translate languages, but their impressive abilities mask significant linguistic blind spots. Inheriting biases from their training data, these systems often perpetuate gender stereotypes,…
The Chinese Room: Can a Machine Ever Understand?
John Searle's famous "Chinese Room" thought experiment poses a timeless challenge to the idea of a truly thinking machine. By exploring the crucial difference between manipulating linguistic symbols (syntax) and…
The Unseen World of Linguistic Annotation: The Human Hands Behind AI Language Models
** Before an AI can understand language, a human has to teach it. This work is done by linguistic annotators, the unsung heroes who manually tag text with grammatical and…
The ELIZA Effect: Why We Talk to Chatbots Like They’re Human
Have you ever found yourself saying "please" and "thank you" to a chatbot or voice assistant? This is the ELIZA effect, our tendency to unconsciously attribute human-like intelligence and empathy…