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Source channel @githubtrending · Post #15239 · Oct 21

#python#artificial_intelligence#cloud_ml#computer_systems#courseware#deep_learning#edge_machine_learning#embedded_ml#machine_learning#machine_learning_systems#mobile_ml#textbook#tinyml You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering. https://github.com/harvard-edge/cs249r_book

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Crypto M - Crypto News

@CryptoM · Post #64928 · 04/10/2026, 10:22 AM

🚀 Aave Faces Internal Challenges Amid Governance Disputes PANews posted on X (formerly Twitter). Aave, a prominent player in the decentralized finance (DeFi) sector, is currently facing significant internal challenges that are proving more daunting than the ongoing bear market. The departure of three key service providers—BGD Labs, ACI, and Chaos Labs—marks a critical juncture for the platform. These exits highlight a clash between the founder's vision and decentralized governance. Aave Labs, which holds 23% of the token voting power, is pushing for a transition to V4. However, the service providers have found themselves without a voice in the decision-making process, while also facing increasing legal risks. This situation has led them to withdraw their support, effectively voting with their feet. The troubles facing Aave underscore the fact that risks in the DeFi space are not solely market-driven. Sometimes, the most significant threats come from within the organization itself. #Aave#DeFi#GovernanceDisputes#DecentralizedFinance#InternalChallenges#TokenVoting#V4Transition#LegalRisks#ServiceProviders#AaveLabs#AAVE