What to expect from AI in 2023
As a best-selling author once wrote, "The night is dark and full of terrors, the day bright and beautiful and full of hope". It's an appropriate picture for AI, which, like all technologies, has its pros and cons.
Art-generating models like Stable Diffusion, for example, have led to incredible outpourings of creativity, fueling entirely new applications and even business models. On the other hand, its open source nature allows bad actors to use it to create large-scale deepfakes, while artists protest that it is profiting from their work.
What's next for AI in 2023? Will regulation limit the worst of what AI brings, or are the floodgates open? Will the emergence of powerful and transformative new forms of AI, a la ChatGPT, disrupt industries once considered immune to automation?
Expect more (problematic) art-generating AI applicationsWith the success of Lensa, the AI-powered selfie app from Prisma Labs that has gone viral, you can expect many me-too apps along these lines. And expect them to also be able to be tricked into creating NSFW imagery, and disproportionately sexualizing and altering the appearance of women.
Maximilian Gahntz, senior policy fellow at the Mozilla Foundation, said he expects the integration of generative AI into consumer technology will amplify the effects of these systems, both good and bad.
Stable Diffusion, for example, received billions of images from the internet until it "learned" to associate certain words and concepts with certain images. Text generation models were often easily tricked into adopting offensive viewpoints or producing misleading content.
Mike Cook, a member of the open research group Knives and Paintbrushes, agrees with Gahntz that generative AI will continue to prove a major and problematic force for change. But he thinks 2023 has to be the year that generative AI "finally puts its money where it's at".
Prompt from TechCrunch, model by Stability AI, generated in the free tool Dream Studio.
"It's not enough to motivate a community of specialists [to create new technologies]: for technology to be an integral part of our lives in the long term, it must either make a lot of money for someone, or have a significant impact on the everyday lives of the general public," Cook said. "So I predict we'll see a serious push for generative AI to actually do one of those two things, with mixed success."< /p> Artists lead effort to opt out of datasets
DeviantArt has released an AI art generator based on Stable Diffusion and refined on artwork from the DeviantArt community. The art generator was met with strong disapproval from longtime DeviantArt residents, who criticized the platform...
As a best-selling author once wrote, "The night is dark and full of terrors, the day bright and beautiful and full of hope". It's an appropriate picture for AI, which, like all technologies, has its pros and cons.
Art-generating models like Stable Diffusion, for example, have led to incredible outpourings of creativity, fueling entirely new applications and even business models. On the other hand, its open source nature allows bad actors to use it to create large-scale deepfakes, while artists protest that it is profiting from their work.
What's next for AI in 2023? Will regulation limit the worst of what AI brings, or are the floodgates open? Will the emergence of powerful and transformative new forms of AI, a la ChatGPT, disrupt industries once considered immune to automation?
Expect more (problematic) art-generating AI applicationsWith the success of Lensa, the AI-powered selfie app from Prisma Labs that has gone viral, you can expect many me-too apps along these lines. And expect them to also be able to be tricked into creating NSFW imagery, and disproportionately sexualizing and altering the appearance of women.
Maximilian Gahntz, senior policy fellow at the Mozilla Foundation, said he expects the integration of generative AI into consumer technology will amplify the effects of these systems, both good and bad.
Stable Diffusion, for example, received billions of images from the internet until it "learned" to associate certain words and concepts with certain images. Text generation models were often easily tricked into adopting offensive viewpoints or producing misleading content.
Mike Cook, a member of the open research group Knives and Paintbrushes, agrees with Gahntz that generative AI will continue to prove a major and problematic force for change. But he thinks 2023 has to be the year that generative AI "finally puts its money where it's at".
Prompt from TechCrunch, model by Stability AI, generated in the free tool Dream Studio.
"It's not enough to motivate a community of specialists [to create new technologies]: for technology to be an integral part of our lives in the long term, it must either make a lot of money for someone, or have a significant impact on the everyday lives of the general public," Cook said. "So I predict we'll see a serious push for generative AI to actually do one of those two things, with mixed success."< /p> Artists lead effort to opt out of datasets
DeviantArt has released an AI art generator based on Stable Diffusion and refined on artwork from the DeviantArt community. The art generator was met with strong disapproval from longtime DeviantArt residents, who criticized the platform...
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