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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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The Digi Doodles

@Digi_doodles · Post #622 · 08/01/2025, 10:02 AM

WeTransfer’s AI Terms: Are Artists Losing Control?🃏 July 28, 2025 · The Art Newspaper A quiet shift with loud consequences. 👂 WeTransfer has updated its terms of service to allow the use of uploaded files for AI training — sparking concern among digital artists and creatives. While the platform claims “anonymized and aggregated” data use, critics warn this could jeopardize intellectual property. What’s at stake: — Artists may unknowingly feed generative AI tools — Lack of opt-out or clear consent for creative works — Questions around ownership, credit & ethics Another wake-up call in the ongoing conversation around AI, authorship, and data rights📖 #AIArt#DigitalRights#WeTransfer#ArtAndTech#DataEthics