| From the Editor's Desk
Common Sense Comes Closer to Computers The problem of common-sense reasoning has plagued the field of artificial intelligence for over 50 years. Now a new approach, borrowing from two disparate lines of thinking, has made important progress.
One evening last October, the artificial intelligence researcher Gary Marcus was amusing himself on his iPhone by making a state-of-the-art neural network look stupid. Marcus' target, a deep learning network called GPT-2, had recently become famous for its uncanny ability to generate plausible-sounding English prose with just a sentence or two of prompting. When journalists at The Guardian fed it text from a report on Brexit, GPT-2 wrote entire newspaper-style paragraphs, complete with convincing political and geographic references.
Marcus, a prominent critic of AI hype, gave the neural network a pop quiz. He typed the following into GPT-2:
What happens when you stack kindling and logs in a fireplace and then drop some matches is that you typically start a ...
Surely a system smart enough to contribute to The New Yorker would have no trouble completing the sentence with the obvious word, "fire." GPT-2 responded with "ick."
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