Meta's Massive new Language AI
Meta’s AI lab has created a massive new language model that shares both?the remarkable abilities and the harmful flaws?of OpenAI’s?pioneering neural network GPT-3. And in an unprecedented move for Big Tech, it is giving it away to researchers—together with?details about how it was built and trained.
“We strongly believe that the ability for others to scrutinize your work is an important part of the research. We really invite that collaboration,” says Joelle Pineau, a?longtime advocate for transparency in the development of technology, who is now managing director at Meta AI.
Meta’s move is the first time that a fully trained large language model will be made available to any researcher who wants to study it. The news has been welcomed by many concerned about the way this powerful technology is being built by small teams behind closed doors.
“I applaud the transparency here,” says Emily M. Bender, a computational linguist at the University of Washington and a frequent critic of the way language models are developed and deployed.??
“It’s a great move,” says Thomas Wolf, chief scientist at Hugging Face, the AI startup behind?BigScience, a project in which more than 1,000 volunteers around the world are collaborating on an open-source language model. “The more open models the better,” he says.
Large language models—powerful programs that can generate paragraphs of text and mimic human conversation—have become one of the?hottest trends in AI?in the last couple of years. But they have?deep flaws, parroting misinformation, prejudice, and toxic language.
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In theory, putting more people to work on the problem should help. Yet because language models require vast amounts of data and computing power to train, they have so far remained?projects for rich tech firms. The wider research community, including ethicists and social scientists concerned about their misuse, has had to watch from the sidelines.?
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