World’s smallest violin for AI execs.
Researchers are ringing the alarm bells, warning that companies like OpenAI and Google are rapidly running out of human-written training data for their AI models.
And without new training data, it’s likely the models won’t be able to get any smarter, a point of reckoning for the burgeoning AI industry.
“There is a serious bottleneck here,” AI researcher Tamay Besiroglu, lead author of a new paper to be presented at a conference this summer, told the Associated Press. “If you start hitting those constraints about how much data you have, then you can’t really scale up your models efficiently anymore.”
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