Google is testing a machine learning-powered tech to determine the age of users and filter content across its products. The key age the tech giant is focused on predicting? If you guessed 18, you’ve been paying attention. @Techcrunch has more:

People who want to use #AI should have to generate the electricity required using a stationary bicycle, not unlike the one seen on Gilligan's Island.

AI models may be accidentally (and secretly) learning each other’s bad behaviors
A recent study is the latest to highlight a core AI safety concern: that the pace of development is outpacing humans’ ability to understand their own AI systems. https://www.nbcnews.com/tech/tech-news/ai-models-can-secretly-influence-one-another-owls-rcna221583
Microsoft just added a bunch of new features into the AI-powered Copilot Mode in its Edge browser. But can it really compete with Google and Perplexity?
@ZDNet investigates: https://flip.it/HvSMnp
#Microsoft#Copilot#ArtificialIntelligence#AI#Browser#Technology
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We thought the good thing about AI models was that they wouldn’t have the same biases as humans. Right? @TechRadar has more on a new study that found that AI chatbots routinely suggest lower salaries to women and some ethnic minorities.
Can you outsmart AI? The more advanced it gets, the better it is at scheming and lying to meet its goals. Read more from @LiveScience:

“After six months of AI detection, the company revealed the startling statistic that about one-fifth of all music uploaded each day, or over 20,000 songs, was generated by AI.”