Smaller Players (EleutherAI, Allen Institute, Hugging Face): These organizations foster transparency and community-driven development, crucial for addressing alignment and safety challenges in superintelligence. Their models, while smaller, provide foundational insights for scaling.
IBM and Microsoft: Granite and Phi-3 focus on enterprise and edge efficiency, respectively, contributing to practical, scalable AI systems that could integrate into larger superintelligent frameworks.
Databricks (DBRX): Its MoE architecture offers a compute-efficient path to scaling, a key consideration for superintelligence development.
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