AutoCorrect Poem
My dear Otto
Correct or disconnect
Lotto of language
I didn’t mean that
The meat of it
Or the meanness
Read not said
My Ouji board
Hoarder of words
After all these years,
Otto, how do you not
Know my name?
But love the names
Of nemesis past
Salesmen, lost friends
Rising to the top
Of the text like
Stones in a field
Down vile tormentor
Dementor, off-center
Shazam of thoughts
They say poetry is dead
But in the machine
It rages ages wages on
–Ticky Kennedy
Poet in Residence
SchoolNewsToday.com
NOTE
An article about autocorrect in the Proceedings of the National Academy of Sciences entitled, “The neural architecture of language: Integrative modeling converges on predictive processing” is teaching us about how the human brain works. “In the past few years, artificial intelligence models of language have become very good at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type. The most recent generation of predictive language models also appears to learn something about the underlying meaning of language. These models can not only predict the word that comes next, but also perform tasks that seem to require some degree of genuine understanding, such as question answering, document summarization, and story completion. Such models were designed to optimize performance for the specific function of predicting text, without attempting to mimic anything about how the human brain performs this task or understands language. But a new study from MIT neuroscientists suggests the underlying function of these models resembles the function of language-processing centers in the human brain. Computer models that perform well on other types of language tasks do not show this similarity to the human brain, offering evidence that the human brain may use next-word prediction to drive language processing.” See The American Association for the Advancement of Science Eureka Alert.
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