A search bot you converse with could make finding answers easier—if it doesn’t tell fibs. Microsoft, Google, Baidu, and others are working on it.
Another issue with a system like ChatGPT is that its responses a based on only the data it was trained on. Retraining the model in its entirety can cost millions of dollars because of its size and the scale of the data. You Chat is confused when asked for the latest sports scores but knows what the weather is like in New York at the moment. Socher doesn’t want to disclose how up-to-date information is incorporated, seeing it as a competitive advantage.
Aravind Srinivas, founder and CEO of search startup Perplexity AI, who previously worked at OpenAI, says the challenge of updating a ChatGPT-like system with recent information means that they need to be combined with something else. “Alone they’ll never be able to be good search engines,” he says. Saam Motamedi, a venture capitalist at Greylock Partners who has invested in the AI-based search company Neeva, says it is also unclear how compatible chat interfaces are with the primary revenue model for search engines—advertising. Google and Bing use search queries to select ads that appear on top of the list of links served up in response.
The cost of running a model like ChatGPT on the scale of Google might also prove problematic. Luis Ceze, cofounder and CEO of OctoML, a company that helps companies lower the cost of deploying machine learning algorithms, estimates that it may be 10 times more expensive to run a ChatGPT search than a Google search, because each answer requires running a large and complex AI model.
The scale of ChatGPT mania has taken some coders and AI researchers familiar with the underlying technology by surprise. The algorithm at the core of the bot, called GPT, was
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