PINs and text messages can be inferred from smart speaker recordings, study shows

to self-help repositories and problem resolution.

it became the fastest-growing app of all time.most AI-generated content reads like that of a high school student that didnt do all the reading prone to inaccuracies and slightly robotic.

hundreds of thousands of pirated books.unaware that their inputs were potentially used to train the model.but ChatGPT is only about a year old.

author Jane Friedman discovered a cache of AI-generated books written in her name for sale on Amazon.Even Google fell prey to its own chatbot Bard by including inaccurate info in a demo video.

Need proof? When an AI model is trained on AI generated data.

Microsoft Copilot (formerly Bing Chat Image Creator).A new study has uncovered how much water is consumed when training large AI models like OpenAI’s ChatGPT and Google’s Bard.

as freshwater scarcity has become one of the most pressing challenges shared by all of us in the wake of the rapidly growing population.000 liters of clean freshwater (enough for producing 370 BMW cars or 320 Tesla electric vehicles) and the water consumption would have been tripled if training were done in Microsofts Asian data centers.

The researchers distinguish between water “withdrawal” and “consumption” when estimating AI’s water usage.The estimates of AI water consumption were presented by researchers from the Universities of Colorado Riverside and Texas Arlington in a pre-print article titled “Making AI Less ‘Thirsty.