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The machine could answer simple questions and chat up a barnyard.
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This was a machine that could answer any question asked of it.
In the early nineteen-seventies, Winograd asked what it would take to build a machine that could answer a question like this: The town councillors refused to give the angry demonstrators a permit because they feared violence.
She was listening to a quiz program that was offering a new washing machine to anyone who could answer a question correctly.
Even while you were mastering double-digit addition you still knew that there was a machine called the 'calculator' that could answer every problem you were doing by hand.
He could answer questions.
Nobody could answer that".
SHRDLU (a nonsense word formed by the second column of keys on a Linotype machine) could describe the objects, answer questions about their relationships, and make changes to the block world in response to typed commands.
The machine couldn't even read her answers because she opted to use a crayon instead of a pencil.
In 1950, Alan Turing suggested that a machine could be judged "intelligent" if its answers to questions could fool you into thinking it was human.
That machine could be exponentially more powerful.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com