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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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Crypto M - Crypto News

@CryptoM · Post #65152 · 04/11/2026, 01:10 PM

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🚀 AI TRENDS | Faster AI Progress May Impact U.S. Labor Force Participation by 2050 A recent study conducted by multiple universities suggests that accelerated advancements in artificial intelligence could significantly affect U.S. labor force participation. According to NS3.AI, the research predicts a decline from 62% to 54% by 2050 under a rapid AI development scenario. This scenario also anticipates an annual GDP growth rate of 3.5% between 2045 and 2049. The focus of the debate has shifted to whether AI will generate sufficient new employment opportunities to counterbalance the displacement of existing jobs. #AI#AItrends#USlaborforce#AIdisplacement#GDPgrowth#laborforceparticipation #2050 #futureofwork

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