✳flâneur — a map of the web's best reading
Google’s powerful AI spotlights a human cognitive glitch | Ars Technica
arstechnica.com · 1,329 words · saved by 1 readers
There's a big difference between fluent speech and fluent thought.
Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimize to nav When you read a sentence like this one, your past experience tells you that it’s written by a thinking, feeling human. And, in this case, there is indeed a human typing these words: [Hi, there!] But these days, some sentences that appear remarkably humanlike are actually generated by artificial intelligence systems trained on massive amounts of human text. People are so accustomed to assuming that fluent language comes from a thinking, feeling human that
Explore this link on the map →related reading
- trees are harlequins, words are harlequins - the voidnostalgebraist.tumblr.com
- Tracing the thoughts of a large language model \ Anthropicanthropic.com
- ChatGPT Is Nothing Like a Human, Says Linguist Emily Bendernymag.com
- The Dark Forest and Generative AImaggieappleton.com
- The Yale Review | Melanie Mitchell: The Dangerous Unknowns at the…yalereview.org
- Do large language models understand us? | by Blaise Aguera y Arcas | Mediummedium.com
- Language Models in Plato's Cave - by Sergey Levinesergeylevine.substack.com
- Introducing the AI Mirror Test, which very smart people keep failing | The Vergetheverge.com
- Artificial General Intelligence Is Already Herenoemamag.com
- Are Large Language Models Conscious?noemamag.com
- ChatGPT Is Dumber Than You Think - The Atlantictheatlantic.com
- Cognitive Biases in Large Language Models — LessWronglesswrong.com