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AI for Good: Transforming Communities GoodSam Podcast Inspiring Hope with Douglas LilesAuthor: A.I. Powered Hope with Douglas Liles
GoodSam: Where AI Meets Social Impact Journey into the world of transformative technology changing lives and communities. Each episode explores groundbreaking AI innovations in healthcare, education, and sustainability, featuring tech visionaries and community leaders. From ethical AI to smart cities, discover how artificial intelligence is building a more equitable world. Perfect for innovators, changemakers, and anyone passionate about tech for good. Get exclusive insights on green tech, digital transformation, and grassroots innovations that matter. #AIForGood #TechForChange #GreenTech Language: en Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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DeepSeek_3.2_Sparse_Attention_Changes_Agent_Economic
Monday, 15 December, 2025
detailed overview of the DeepSeek-V3.2 large language model, positioning it as an open-weight solution specifically engineered for agentic workloads. Its key architectural innovation is DeepSeek Sparse Attention (DSA), which efficiently manages extremely long 128K context windows by only attending to a small, relevant subset of tokens, dramatically reducing computational costs from O(L²) to O(L·k). The model also relies on scaled reinforcement learning and extensive agentic task synthesis to enhance reasoning and generalization, addressing historical weaknesses in open models regarding robust agent behavior. Operationally, the model is designed to be economically disruptive, with its release tied to 50%+ API price cuts, enabling developers to run complex, long-horizon agent loops that were previously too expensive.
