‘Can’t lick twice’: Google’s failure indicates Ai error

Here’s a slightly distracting from your work day: head to GardenerWrite any words made, add the word “meaning,” and search. Look! Google Values It’s not only guaranteed that your gibberish is a real word, telling you what meant and how it comes from.

This is truly happy, and you can get more Illustration on media. Ai of Ai, “the loose dog does not want to smoke” and “a way of speaking that something cannot happen or that something will not be over.” “Artists are as artists that mean” the act of a person or the form of a culture or ‘shooting,’ as a computer work is confirmed by its connection. “

All this sounds very well, provided with a confounded confidence. Google Although it provides links sometimes, by providing additional Sheen’s Answer. It is also mistaken, maybe simply briefly to make it seem to be viewed to this as a group of unchanged words. And although so fools to Ai thinks “Do not throw a podle on pigs” and a proverb with Bible Hurrics, refers to the Habbise, reality for the place of the land.

Like remove the underly of Ai ai brief of Google, Google uses “attempt” Ai to use the results. Ai’s results are a powerful instrument with all kinds of validity. But two qualities of the dictionary start playing when explanations the words made. The first thing is to be possible for features of fear; Although it may seem to be the main system of languages ​​contains the ideas or ideas, on one level that means someone who puts him. This makes it very nice to come with the meaning of what these words with Mean if they mean anything, they don’t.

“The foregoing of the next word depends on the part of many lessons,” however, often, the next contact word does not guide us to the correct answer. “

Another thing is that the need is please; Research has shown that the chat is usually tell people what they want to hear. In the case that means to use you to your words “You can’t lick twice” It’s a valid word. In some translations, it may mean showing that you are returning, as the researchers under the direction of Xiao showed in decode last year.

A Xiao said: “It’s too hard for this system to read questions or smile,” says Xiao. “This is very difficult to know, the languages ​​found, as well as a few opinions. Since the search is the most difficult way, the problem is disturbed.”