“They’ve gotten themselves into a business model that’s very cost-intensive up front, and very unproven in terms of what profits they’re going to have on the back-end or what the ultimate utility will be,” says Sarah Myers West, co-executive director of AINow and a former senior adviser on AI at the Federal Trade Commission. “There are many different ways of building AI,” she adds, including methods that are more efficient and less power-hungry. “It’s not for nothing that the industry has locked into this large-scale AI paradigm at a moment when the labs that are producing AI have been dominated for the last decade by the companies that run cloud infrastructure businesses,” which are better equipped than smaller competitors to shoulder the massive costs that larger-scale models entail.
To read more, click
