Meta makes progress toward universal translator AI model

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Meta makes progress toward universal translator AI model
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SeamlessM4T seems less open source than some might wish

We spoke to a Stanford prof on the tech and social impact of AI's powerful, emerging 'foundation models'

"Critically, we evaluated SeamlessM4T on gender bias and added toxicity to assess translation safety," the paper says."Compared to the state-of-the-art, we report up to 63 percent of reduction in added toxicity in our translation outputs." Meta's model come in various sizes in terms of parameters, which suggest the comprehensiveness and utility of model: SeamlessM4T-LARGE , SeamlessM4T-MEDIUM , and SeamlessM4T-SMALL .1.55 billion parametersMeta's penchant for releasing models under open source licenses, or more restrictive but not entirely proprietary terms, purportedly prompted a Google employee earlier this year to pen a memo warning that open source AI would outcompete Google and Microsoft-allied OpenAI.

"Open-source models are faster, more customizable, more private, and pound-for-pound more capable," thesays."They are doing things with $100 and 13B params that we struggle with at $10M and 540B. And they are doing so in weeks, not months." Indeed, if anyone were planning to profit from explicit AI imagery, the public release of open source text-to-image models – cited as a catalyst for the proliferation of non-consensual AI pornography – has commoditized that market. And with recentBut Google's concern may give Meta too much credit as the social ad biz has been less than open in its licensing of late.

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