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Symbolica, an AI startup, has developed a framework to create alternatives to the “transformer” deep learning architecture. The company recently announced a $31 million series A funding round led by Khosla Ventures. Symbolica’s CEO, a former Tesla employee, believes that different architectures of foundation models can produce better results than scaling transformers. This approach challenges the current trend of relying on increased compute power and training data for AI advancements.
