How Google plans to integrate generative AI into all of its products


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Code red at Google: A new internal guideline calls for building generative artificial intelligence into the company’s main products.

In the race for Artificial Intelligence (AI), Google has been left behind by ChatGPT, despite years of research in this sector. But the one who has been investing in AI for years has not yet said her last word. Admittedly, the company went through a period of uncertainty, during which the Mountain View giant hastily and without the expected success unveiled Bard, its alternative to ChatGPT. But the company has a real battle plan: Put generative AI — software capable of producing its own text, images or videos — in its core products and services, Bloomberg reports, Wednesday, March 8.

Contrary to what one might think, Google did not get started with AI after the launch of ChatGPT. It has been investing in research for years and is even a pioneer in the field. The company has already integrated AI into its consumer products such as Gmail or Google Photos. For example, this technology helps users write emails and organize images. But things have changed in Silicon Valley since the ChatGPT wave. Mark Zuckerberg himself is said to have even dropped his metaverse to focus on this technology. And at Google, the emphasis on AI would be even more pronounced.

Turning years of research into commercial success

As proof, a “red code” would accompany this new internal directive. His message: To raise the bar, Google’s flagship products — those with more than a billion users — must integrate generative AI in the coming months. And that acceleration is already underway, because the company announced in March that creators of its YouTube video platform will soon be able to use the technology to, for example, virtually change outfits.

This isn’t the first time Google has used internal guidelines to encourage employees to focus on a project. In 2011, Google +, the social network that will never achieve the expected success, had been the subject of such a plan – there, too, every key product of the company had to have its social counterpart. The project was finally discontinued in 2018. This time, it would be mainly a matter of encouraging employees to test the company’s AI tools internally, a company spokesperson questioned by our colleagues put it into perspective.

Also Read: We Tested ChatGPT Plus: What Is The Paid Version Of The AI Worth?

Understandably, the digital giant is getting into the fight to turn its years of AI research into commercial success. But contributing to the development of a revolutionary technology and making billions of dollars in profit from it are two different things, our colleagues remind us.

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