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Show HN: Core-1 – A distributed C++ AGI framework for trillion-parameter scale

Core-1 is an open-source distributed C++ framework designed for building AGI systems at trillion-parameter scale. It focuses on efficient distributed computing, memory management, and scalability for large-scale AI models.

Background

- Core-1 is an open-source C++ framework designed to train and run AI models with trillions of parameters (a trillion-parameter model would be ~10x larger than today's largest known models like GPT-4). - It uses "distributed" computing — splitting the work across many machines/GPUs connected by a fast network — because no single computer has enough memory or speed for models this big. - The project is new and created by "Sarkar-AGI" (likely a solo developer or small team). Building AGI (Artificial General Intelligence) at this scale is extremely ambitious; most such efforts are backed by large companies (Google, Meta, Microsoft) with massive budgets. - The "Show HN" tag means the creator posted it on Hacker News for feedback; it indicates an early-stage project, not a proven or production-ready system.

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Show HN: Core-1 – A distributed C++ AGI framework for trillion-parameter scale

Background

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