I recently met with some brilliant Russian mathematicians who showed me a way for artificial intelligence models to communicate via something akin to machine telepathy.
\n\nThe mathematicians work for a startup called Mostik—the Russian word for bridge. It’s a nod to the group’s approach, which allows different models to interact using the mathematical values found in their weights—the things that determine how a prompt gets turned into an output. In practice, this means the capabilities of a larger model can be fed to a smaller model to ramp up its intelligence much more efficiently.
\n\nThe startup used the approach to build a model that has rocketed to the top of ARC-AGI 3, a notoriously difficult competition for AI models. (They wouldn’t tell me more because they want to win the contest.) To demonstrate the idea, however, they also created a bridge between two Chinese open-weight models: the largest version of GLM-5.2, which has 753 billion parameters; and a 4-billion-parameter version of Qwen-3.5 that can run on a mobile device. The resulting hybrid system costs one-twentieth of the full GLM model, and its performance is exactly halfway between the two.
\n\n“It’s well-known in machine learning that ensembles of models perform better…
Original source: https://www.wired.com/