According to God of Prompt, current large language models (LLMs) communicate by generating text sequentially, which is slow, costly, and can lose nuance during translation between models (source: @godofprompt, Twitter, Jan 17, 2026). The new concept, C2C (model-to-model communication), aims to enable direct, meaning-rich information transfer between AI models, bypassing traditional text outputs. This development could significantly reduce latency, lower operational costs, and enable more efficient AI-to-AI collaboration, opening up business opportunities in enterprise automation, scalable agent systems, and advanced AI integrations.