What was Meta thinking with the Galactica launch?

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A couple of weeks ago, I posted a story in Wiser! about Meta’s new AI science chatbot. Built in conjunction with Papers with Code, it was called Galactica to signify the sheer scale and size of the massive language model that it was built on.

The knowledge, wisdom, and intellect of Galactica was built on 48 million published scientific papers. Officially, it was described as “a large language model that can store, combine and reason about scientific knowledge.”

The Meta team behind Galactica said their language models would be better than search engines. “We believe this will be the next interface for how humans access scientific knowledge,” said the researchers.

It was meant to be a super-duper monster of a memory bank that could generate science papers, write wiki articles, create scientific code, and never need to stop for a cup of tea and digestive.