Google just dropped TurboQuant: compresses AI model memory down to ~2 bits per number with zero accuracy loss. KV cache is the bottleneck that makes long-context AI expensive. Crush that bottleneck and suddenly you can run serious models on a GPU at home. Every efficiency gain like this is one step closer to sovereign AI. No cloud provider needed. No API keys. No terms of service. Your hardware, your model, your rules. The future isn't renting intelligence from Big Tech. It's running it yourself. 

TurboQuant: Redefining AI efficiency with extreme compression