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Omnipresent AI cameras will ensure good behavior, says Larry Ellison

A colorized photo of CCTV cameras in London, 2024.

Enlarge (credit: Benj Edwards / Mike Kemp via Getty Images)

On Thursday, Oracle co-founder Larry Ellison shared his vision for an AI-powered surveillance future during a company financial meeting, reports Business Insider. During an investor Q&A, Ellison described a world where artificial intelligence systems would constantly monitor citizens through an extensive network of cameras and drones, stating this would ensure both police and citizens don't break the law.

Ellison, who briefly became the world's second-wealthiest person last week when his net worth surpassed Jeff Bezos' for a short time, outlined a scenario where AI models would analyze footage from security cameras, police body cams, doorbell cameras, and vehicle dash cams.

"Citizens will be on their best behavior because we are constantly recording and reporting everything that's going on," Ellison said, describing what he sees as the benefits from automated oversight from AI and automated alerts for when crime takes place. "We're going to have supervision," he continued. "Every police officer is going to be supervised at all times, and if there's a problem, AI will report the problem and report it to the appropriate person."

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My dead father is β€œwriting” me notes again

An AI-generated image featuring Dad's Uppercase handwriting.

Enlarge / An AI-generated image featuring my late father's handwriting. (credit: Benj Edwards / Flux)

Growing up, if I wanted to experiment with something technical, my dad made it happen. We shared dozens of tech adventures together, but those adventures were cut short when he died of cancer in 2013. Thanks to a new AI image generator, it turns out that my dad and I still have one more adventure to go.

Recently, an anonymous AI hobbyist discovered that an image synthesis model called Flux can reproduce someone's handwriting very accurately if specially trained to do so. I decided to experiment with the technique using written journals my dad left behind. The results astounded me and raised deep questions about ethics, the authenticity of media artifacts, and the personal meaning behind handwriting itself.

Beyond that, I'm also happy that I get to see my dad's handwriting again. Captured by a neural network, part of him will live on in a dynamic way that was impossible a decade ago. It's been a while since he died, and I am no longer grieving. From my perspective, this is a celebration of something great about my dadβ€”reviving the distinct way he wrote and what that conveys about who he was.

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