Internet giant Google has rolled out its artificial intelligence-based search infrastructure to more than 100 countries, unfortunately not including Turkey. opened.
All countries supported by the infrastructure Here As part of the large-scale rollout, Google has made the feature available in languages such as English, Hindi, Indonesian, Japanese, Portuguese and Spanish. GoogleAccording to information released in recent months, artificial intelligence-based search infrastructure Safari close to users thought. Paying Apple billions of dollars every year to be the default search engine on iPhones ($20 billion in 2022 alone) Google, In order to highlight its own services/applications, it wanted to close its artificial intelligence-based search infrastructure to Safari users. This decision was actively discussed within the company, but was later abandoned. Company officials realized that it would be difficult to switch Safari users to Chrome. They first brought up this plan to pay less money to Apple.. Because between Apple and Google There is a revenue sharing agreement. Apple gets a share of advertising revenue from Google searches made in Safari. Google wanted to reduce this payment by shifting users to Chrome and use its artificial intelligence-based search infrastructure for this, but It was understood that such a step would cause more harm than good.
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Google’s artificial intelligence-based search infrastructure produced very poor results when it was first released. The internet giant wants to bring productive artificial intelligence directly to search results and has been doing this for a long time.Search Generative Experience (SGE)He was conducting tests under the name “. Behind these tests, instead of the site giving some results to the search terms as it does now, It involved producing effective answers through productive artificial intelligence.. This infrastructure produces detailed answers to people about the topics they are looking for, and in addition to those published on the websites, help is received from a specially trained large language model. The system adds sources to the information it receives from websites and even generates possible follow-up questions for people.
So how exactly does this system perform? The answers produced by the system are not always good, and sometimes they are really “incredibly bad” results may occur. For example, the system has been updated in recent months. “Cheese does not stick to pizza” in response to his search, which he took from a ridiculous Reddit post that is 11 years old, “Use chemical glue for that.” your suggestion had given. This situation, which caused great repercussions when it fell on X, was not the only incorrect response of the system; One user was told that it would be okay to eat one stone a day. At the same time Here The system that makes a splash with the wrong answers you can see, manually remove these bad contents one by one being cleaned.