Google Hopes AI Can Transform Search into Conversation

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Google uses it frequently its annual software development conference, I / O, exhibition artificial intelligence it’s another thing. In 2016, it launched Google Home the smart speaker is Google Agent. In 2018, Duplex began answering phones and setting up business stands. Following the ceremony, last month’s CEO Sundar Photosi launched LaMDA, AI “for discussion on all topics.”
In an onstage show, Photosi showed what it’s like to be in a paper plane with the celestial body Pluto. For each question, LaMDA responded with three or four statements that parallel natural communication between two people. Over time, Photosi said, LaMDA could be integrated with Google products including Assistant, Workspace, and most importantly, search.
“We believe that LaMDA’s natural connectivity makes information and computers easier and easier to use,” said Photosi.
The LaMDA demonstration provides a window into Google’s vision for search that extends the list of links and could change the way billions of people search online. The vision is based on AI that can interpret meaning from human language, discuss, and answer multiple questions as an expert.
Also in I / O, Google has also released another AI tool, called the Multitask Unified Model (MUM), which can focus on search and text and images. VP Prabhakar Raghavan said users could one day take a picture of the shoes and ask hunters if the shoes would be best to wear when climbing Mount Fuji.
MUM produces results in 75 languages, which Google claims to provide comprehensive information to the world. The showrunner showed how MUM can answer the search query “I went on Mt. Adams and now you want to climb Mt. Fuji when it falls, what should I do differently?” can summarize and make notes; it will be able to compare Mount Adams with Mount Fuji and planning for the trip may require the results of exercise hunting, walking ideas, and weather forecasts.
In a paper called “Meditation Search: Making Experts Out of Trouble, ”Published last month, four engineers from Google Research considered hunting as a conversation with human experts. An example in this paper focuses on the search for “What is red wine in its health and its dangers?” Today, Google is responding with a list of bullets. The paper suggests that future responses may be seen as part of the claim that red wine promotes heart health but pollutes your teeth, finishes and specifics – as well as links to — where sources of information. The paper presents the answer as text, but it is easy to imagine oral answers, as is the case today with Google Assistant.
But relying too much on AI to understand words can also be dangerous, as computers still struggle to understand language in all its complexities. Advanced AI in the field of writing or answering questions, known as the major forms of language, has shown a keen interest in favored bias and the production of unexpected or threatening words. One such type, OpenAIGPT-3, has been used for manufacturing discussion topics of characters and he did so produces sexually explicit material about children on online games.
As part of the paper is the show posted online last year, researchers from MIT, Intel, and Facebook have found that major language groups show bias based on racial, gender, religion, and occupational attitudes.
Rachael Tatman, a linguist with a PhD in the field of natural languages, says that as these genres evolve, it can lead people to believe that they are talking to AI who understand the meaning of the word create-when it really does not understand the world. That could be a problem if you let the bully out people with disabilities or We are not Muslims or tell people that kill yourself. Growing up, Tatman recalls being trained by a librarian on how to judge the validity of Google search results. If Google combines major types of languages with search, they say, users should learn how to streamline conversations with AI experts.
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