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PulseReporter > Blog > Tech > ‘You Cannot Lick a Badger Twice’: Google Failures Spotlight a Basic AI Flaw
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‘You Cannot Lick a Badger Twice’: Google Failures Spotlight a Basic AI Flaw

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Last updated: April 23, 2025 11:53 pm
Pulse Reporter 3 months ago
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‘You Cannot Lick a Badger Twice’: Google Failures Spotlight a Basic AI Flaw
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Right here’s a pleasant little distraction out of your workday: Head to Google, sort in any made-up phrase, add the phrase “that means,” and search. Behold! Google’s AI Overviews won’t solely verify that your gibberish is an actual saying, it would additionally let you know what it means and the way it was derived.

That is genuinely enjoyable, and you could find numerous examples on social media. On this planet of AI Overviews, “a unfastened canine will not surf” is “a playful approach of claiming that one thing shouldn’t be more likely to occur or that one thing shouldn’t be going to work out.” The invented phrase “wired is as wired does” is an idiom which means “somebody’s conduct or traits are a direct results of their inherent nature or ‘wiring,’ very like a pc’s operate is set by its bodily connections.”

All of it sounds completely believable, delivered with unwavering confidence. Google even offers reference hyperlinks in some circumstances, giving the response an added sheen of authority. It’s additionally incorrect, no less than within the sense that the overview creates the impression that these are frequent phrases and never a bunch of random phrases thrown collectively. And whereas the truth that AI Overviews thinks “by no means throw a poodle at a pig” is a proverb with a biblical derivation is foolish, it’s additionally a tidy encapsulation of the place generative AI nonetheless falls quick.

As a disclaimer on the backside of each AI Overview notes, Google makes use of “experimental” generative AI to energy its outcomes. Generative AI is a robust device with every kind of professional sensible functions. However two of its defining traits come into play when it explains these invented phrases. First is that it’s in the end a chance machine; whereas it might look like a big language model-based system has ideas and even emotions, at a base degree it’s merely putting one most-likely phrase after one other, laying the observe because the practice chugs ahead. That makes it superb at developing with an evidence of what these phrases would imply in the event that they meant something, which once more, they don’t.

“The prediction of the following phrase is predicated on its huge coaching knowledge,” says Ziang Xiao, a pc scientist at Johns Hopkins College. “Nonetheless, in lots of circumstances, the following coherent phrase doesn’t lead us to the appropriate reply.”

The opposite issue is that AI goals to please; analysis has proven that chatbots usually inform folks what they wish to hear. On this case which means taking you at your phrase that “you may’t lick a badger twice” is an accepted flip of phrase. In different contexts, it’d imply reflecting your individual biases again to you, as a crew of researchers led by Xiao demonstrated in a examine final yr.

“It’s extraordinarily troublesome for this method to account for each particular person question or a person’s main questions,” says Xiao. “That is particularly difficult for unusual data, languages during which considerably much less content material is obtainable, and minority views. Since search AI is such a posh system, the error cascades.”

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