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Source channel @githubtrending · Post #14985 · Jul 22

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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@ai_and_law · Post #408 · 10/01/2024, 07:04 AM

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FTC Takes Action Against DoNotPay Over Misleading AI Lawyer Claims The Federal Trade Commission (FTC) has initiated action against DoNotPay, which claimed to offer "the world’s first robot lawyer." Despite bold promises to revolutionize legal services, DoNotPay failed to match the expertise of human lawyers. The FTC alleges that the company’s AI service could not generate valid legal documents or substitute for professional legal counsel, as claimed. The proposed settlement requires DoNotPay to pay $193,000 and prohibits misleading claims about AI capabilities without supporting evidence. This case serves as a reminder that AI-based services must be held to the same rigorous standards as professional industries. #AIRegulation#LegalTech#AIEthics#FTCRuling#ConsumerProtection

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