From the lab that brought you the reason behind yellow pee comes another monumental advance in digestive science: a fart-tracking sensor to be attached to your underwear. As it turns out, farts are also part of the mundane things that science has yet to fully explain—an issue this sensor purports to address.
https://gizmodo.com/how-many-times-do-you-fart-a-day-smart-underwear-says-its-way-more-than-you-think-2000719805
Artificial intelligence is saving workers time, but a large share of those gains is being erased by the effort required to fix AI-generated mistakes, according to a new study. “For every 10 hours of efficiency gained through AI, nearly four hours are lost to fixing its output,” the report said. As a result, “productivity gains alone are not translating into better outcomes for most organizations,” it said.
https://qz.com/ai-mistakes-limit-time-savings-workday-finds
“The conversion gap reinforces that AI is being utilized during the research and consideration stage, in advance of when shoppers are ready to hit the buy button.” But, it added, the closing gap “shows that consumers are also increasingly comfortable completing a transaction directly after an AI-powered chat experience.”
https://qz.com/gen-ai-personal-shopper-adobe-e-commerce-1851770510
The open source "poison pill" tool (as the University of Chicago's press department calls it) alters images in ways invisible to the human eye that can corrupt an AI model's training process. Many image synthesis models, with notable exceptions of those from Adobe and Getty Images, largely use data sets of images scraped from the web without artist permission, which includes copyrighted material. (OpenAI licenses some of its DALL-E training images from Shutterstock.)
https://arstechnica.com/information-technology/2023/10/university-of-chicago-researchers-seek-to-poison-ai-art-generators-with-nightshade/