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DAI#49 – Open Llamas, AI fear, and all too easy jailbreaks
Welcome to this week’s roundup of handwoven AI news. This week Llamas streaked ahead in the open AI race. Big Tech firms talk up safety while their models misbehave. And making AI scared might make it work better. Let’s dig in. Open Meta vs closed OpenAI This week we finally saw exciting releases from some of the big guns in AI. OpenAI released GPT-4o mini, a high-performance, super-low-cost version of its flagship GPT-4o model. The slashed token costs and impressive MMLU benchmark performance will see a lot of developers opt for the mini version instead of GPT-4o. Nice move OpenAI.
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Friend AI Test and Review Exploring Friend AI: A Detailed Review and User Experience – Based Hardware
Study: When allocating scarce resources with AI, randomization can improve fairness
Undress.love Pricing, Features, Details, Alternatives
Michael Phelan, CEO at GridBeyond – Driving Sustainability in Energy: Transforming Global Challenges into Innovative Solutions
Study finds brain reacts differently to human and AI voices
A new study shows that while humans struggle to distinguish human and AI voices, our brains respond differently when we hear them. As AI voice cloning becomes more advanced, it raises ethical and safety concerns that humans weren’t exposed to before. Does the voice on the other end of the phone call belong to a human, or was it generated by AI? Do you think you’d be able to tell? Researchers from the Department of Psychology at the University of Oslo tested 43 people to see if they could distinguish human voices from those that were AI-generated. The participants were
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Convolutional Neural Networks (CNNs) Explained
Detroit police department reaches settlement in facial recognition case
The Detroit Police Department has settled a lawsuit filed by Robert Julian-Borchak Williams, a black man who was wrongfully arrested in January 2020 based on a flawed facial recognition match. As part of the settlement, the Detroit Police Department has agreed to implement new policies governing the use of facial recognition technology. They include: Prohibiting arrests based solely on facial recognition matches Requiring additional evidence beyond facial recognition before including a suspect in a photo lineup Mandating officer training on the limitations and risks of facial recognition technology Conducting an audit of all cases since 2017 where facial recognition was
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