MOUNTAIN VIEW — As Alphabet Inc looks past a chatbot flub that helped erase US$100 billion (S$134 billion) from its market value, another challenge is emerging from its efforts to add generative artificial intelligence to its popular Google Search: the cost. Executives across the technology sector are talking about how to operate AI like ChatGPT while accounting for the high...
The logo for Google LLC is seen at the Google Store Chelsea in Manhattan, New York City, US on Nov 17, 2021.MOUNTAIN VIEW — As Alphabet Inc looks past a chatbot flub that helped erase US$100 billion from its market value, another challenge is emerging from its efforts to add generative artificial intelligence to its popular Google Search: the cost.
Even with revenue from potential chat-based search ads, the technology could chip into the bottom line of Mountain View, California-based Alphabet with several billion dollars of extra costs, analysts said. Its net income was nearly US$60 billion in 2022. The process of handling AI-powered search queries is known as "inference," in which a "neural network" loosely modelled on the human brain's biology infers the answer to a question from prior training.
Microsoft later drew scrutiny of its own when its AI reportedly made threats or professed love to test users, prompting the company to limit long chat sessions it said "provoked" unintended answers.Microsoft's Chief Financial Officer Amy Hood has told analysts that the upside from gaining users and advertising revenue outweighed expenses as the new Bing rolls out to millions of consumers.
For years, researchers at Alphabet and elsewhere have studied how to train and run large language models more cheaply.AI that dazzles consumers for its human-like authority has ballooned in size, reaching 175 billion so-called parameters, or different values that the algorithm takes into account, for the model OpenAI updated into ChatGPT.One senior technology executive told Reuters that such AI remained cost-prohibitive to put in millions of consumers' hands.
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