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Source channel @githubtrending · Post #15428 · Jan 22

#cplusplus FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications. https://github.com/deepseek-ai/FlashMLA

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AI & Law

@ai_and_law · Post #245 · 02/21/2024, 08:04 AM

Beware of AI 'Girlfriends': Your Privacy at Risk Hello everybody! According to researchers at Mozilla, apps offering AI 'girlfriends' or 'significant others' are harvesting and selling users' personal data. Despite claims of providing mental health support or self-help, these apps prioritize profit over user privacy. Mozilla's investigation revealed alarming privacy practices among 11 romantic AI chatbot apps. From data harvesting to poor encryption measures, these apps pose significant risks to user confidentiality. Even more concerning is the lack of accountability from the companies behind these chatbots, who absolve themselves of responsibility for the chatbots' actions and prompts. Before engaging with AI 'girlfriends' or similar apps, users should be aware of the privacy pitfalls highlighted by Mozilla's "Privacy Not Included" project. With the majority of these apps failing to prioritize user security and data protection, it's essential to exercise caution when sharing personal information with virtual companions. Remember: if you're not paying for it, your data might be the product. #Privacy#AIGirlfriends#DataPrivacy