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Source channel @githubtrending · Post #15143 · Sep 14

#python#llms#mlx MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed. https://github.com/ml-explore/mlx-lm

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Crypto M - Crypto News

@CryptoM · Post #64467 · 04/09/2026, 01:34 AM

🚀 Monad Foundation Offers Subsidies for Secure Signing Devices Monad Foundation has announced plans to subsidize the cost of dedicated signing laptops for teams whose protocols achieve or exceed a total value locked (TVL) of $2.5 million. According to Foresight News, these laptops are intended for use in multi-signature operations, vault management, and other critical tasks. Eligible teams can apply to the Monad Foundation for this subsidy, which may require additional security training and standard KYC procedures. Monad emphasizes that these signing devices must not be used for everyday activities such as web browsing, coding, or meetings. Previously, Monad co-founder Keone Hon advised protocol teams to immediately adopt dedicated signing computers for multi-signature operations instead of using regular computers. He highlighted the vulnerability of everyday computers to hacking, which could compromise the signing process even when connected to a hardware wallet, posing significant security risks. The Monad Foundation may introduce incentives to encourage teams to adopt this secure method in the future. #MonadFoundation#Subsidy#SecureSigning#Cryptocurrency#Blockchain#Multisig#VaultManagement#Cybersecurity#KYC#ProtocolSecurity