Russian Mathematicians Cut AI Computing Costs 20x Startup Mostik AI has developed a way for AI models to communicate directly by sharing their internal states rather than passing text back and forth

🔄 Russian Mathematicians Cut AI Computing Costs 20x Startup Mostik AI has developed a way for AI models to communicate directly by sharing their internal states rather than passing text back and forth. The approach lets a large model do the computationally intensive work of processing a task, while a smaller, cheaper model generates the response. ⚙️ Mostik AI CEO Sasha Malysheva told @hiaimediaen how it works: Multi-model systems are already used in AI agents to distribute work between models with different capabilities and costs. One model might plan a series of actions, for example, while another executes them. But they still typically communicate through text—one model generates an output, and the next one reads it. When processing each token, a model builds numerical vectors that make up its hidden state. This internal state contains the context, information about how the model understands the task, and what a possible answer might look like. According to Mostik, producing a single token involves more than 100 hidden vectors, or about 1 million numbers—roughly 2 MB of internal state. Yet only one selected token leaves the model, equivalent to about 17 bits. "Systems built to th