ahmad osman here, co-signing this with every GPU i own open superintelligence stack or bust i approve this message
DECENTRALIZED AI
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Cancer Centers Launch AI Alliance Using Federated Learning
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A coalition of leading #cancer centres has launched the Cancer #AI Alliance (CAIA), utilising a federated learning platform to train AI models on millions of patient records without sharing raw #data. https://
bit.ly/4pSPv1t
#TechNews #Healthcare #Research -
Securing AI Compute Independence: Buy GPUs Now
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friendly reminder to buy a GPU and secure your compute on this wonderful afternoon your AI cannot be controlled by a self-serving corporate
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Local AI Infrastructure Against Big Tech Dominance
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part of why i am screaming for Local AI and having your own infra they CANNOT win
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Own Your AI: GPU Computing and Local Independence
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You don’t own your AI if a corporation can turn it off. Buy a GPU. Go local.
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Local LLMs GPU Essential for Independent Thinking
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do you use Local LLMs, Naval? highly recommend you to look into buying GPUs and using local models that's the only way to staying a free thinker
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OpenAI Pulse Data Mining: Run LLMs Locally Instead
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heads up OpenAI feature Pulse is simply DATA MINING for future TARGETED ADS Buy a GPU & run your LLMs locally
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Local AI ownership through single GPU democratization strategy
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nevertheless local AI has to win, Paul more people need to own their AI and buying a single GPU would do that
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Open Weight Models and On-Device AI Privacy Benefits
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Releasing the open weight models to the research community and developers in general is not a bad thing though. On the topic of on-device. It can be interesting for a lot contexts though, which is why Apple does/tried it. One is privacy (I don’t think most people want third
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On-Chain Coordination Rail for Autonomous Agent Work
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[ AGI Jobs v0 ] “The on‑chain coordination rail where autonomous agents prove work, earn on merit, and build portable reputation—identity, escrow, verification, and reusable artifacts in one pipeline.” Why This Wins the AI Race The race won’t be decided by a single