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Together and Stanford developed Hybrid Reasoning Agents, an architecture that improves AI task performance by 10.4% by processing calculations and logic in latent space, reducing token usage by roughly 40% and speeding up inference nearly 2x for about 3x cost savings. The code, papers, and models have been released, and the internal latent thoughts remain readable.
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