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insight
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Insight
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Reality Defender
Team
With the rise in AI-generated and deepfaked music in the last few days alone, the previous week’s news on the AI-generated Drake/Weeknd song seems like a blur. This week saw the release of AISIS, an album of AI-generated music that sounds eerily similar to the now-defunct band Oasis, formerly led by brothers Liam and Noel Gallagher. With a deepfaked voice sounding like the former brother, this 37-minute album simulates what the band would sound like if they never had an acrimonious split. As detailed by the creator, “We’re bored of waiting for Oasis to reform, so we’ve got an AI-modeled Liam Gallagher to step in and help out on some tunes.”
Claire Boucher, also known as the musician/artist Grimes, has invited people to use her AI versions of her voice in music and “split [any] royalties 50%.” No stranger to AI-related developments, the artist stated “I think it's cool to be fused w a machine and I like the idea of open sourcing all art and killing copyright.” She later clarified: “we may do copyright takedowns ONLY for rly rly toxic lyrics w grimes voice."
Stability AI introduced a new family of open source AI language models called StableLM, aiming to offer an alternative to ChatGPT. The models, available in various parameter sizes, are released under the Creative Commons BY-SA-4.0 license and are designed to be transparent, accessible, and efficient while delivering high performance. As with the previous week’s release of the open-source Dolly, critics of open-source LLMs fear users with malicious intent can and will use them to create hateful and damaging content that ChatGPT, Bing AI, and other closed-source models are prevented from generating due to built-in safeguards.
Sixty-two percent of Americans believe AI will significantly affect the American workforce as a whole, yet only 28 percent anticipate being personally impacted. This is according to a new Pew Research Center survey and report, filled with a wealth of (speculative) data on what the future of AI could look like.
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