Up Next
Back to Show
Otherwords
Why A.I. Struggles with Negative Words
Researchers and casual users alike have documented that generative AI tools often struggle with negation: the language we use to express absences, untruths, and opposites. Gen AI models may be able to show you what you do want to see, but they’re NOT as good at NOT giving you what you DON’T want. Read that last sentence back again and you can understand why. So, how do we understand it ourselves?
Support Provided By
10:43
Should judges act as armchair linguists when interpreting the law?
8:56
One slang word remains the undisputed king for over 100 years.
9:49
The way your language describes time might actually change how you experience it.
10:11
Figuring out what exactly counts as a lie is not as easy as it seems...
7:58
Linguists are tracking how K-Pop is shaping language around the world.
9:13
There are a lot of hidden & surprising messages behind brand names.
9:19
How did we get from written words scrunched together without any spaces or symbols to punctuation?
6:21
Children are sponges for language acquisition. Which leads us to ask the question: how much does TV
6:51
We already know that English borrows from everybody, but can it be considered a Creole language?