OpenAI’s AI-generated text detector is never technically wrong, but it’s still easy to trick

Sabrina Ortiz/ZDNETZDNETs key takeawaysThe Whoop Coach feature.

This year wasnt the exception and in fact the few major announcements made throughout the week were promptly taken care of in our regular news coverage000 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.

it is essential to note that water “consumed” is released back into the atmosphere through cooling towers and is not “lost” from the water cycle.would need to “drink” a 500-milliliter water bottle to finish a fundamental discussion with a user of around 25–50 questions.water use might have increased threefold if the data had been generated in the business’ less energy-efficient Asian data center.

as freshwater scarcity has become one of the most pressing challenges shared by all of us in the wake of the rapidly growing population.a typical user’s interaction with ChatGPT is equivalent to emptying a sizable bottle of fresh water onto the ground.

A new study has uncovered how much water is consumed when training large AI models like OpenAI’s ChatGPT and Google’s Bard.

The scientists also hold the data centers responsible for “off-site indirect water consumption.Featured Apple Vision Pro review: Fascinating.

which also powers its AI chatbot and other services.The partnership gives Google Cloud customers access to Stack Overflow directly within the Google Cloud Console and Gemini for Google Cloud.

and deliver on socially responsible AI.we can accelerate innovation across a variety of industries.