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These Russian Mathematicians Taught AI Models How to Talk to Each Other Without Using Words | WIRED

Brave/wired.com · 2026年9月3日 02:15 · 阅读约 5 分钟
These Russian Mathematicians Taught AI Models How to Talk to Each Other Without Using Words | WIRED

These Russian Mathematicians Taught AI Models How to Talk to Each Other Without Using Words | WIRED

摘要: Will Knight

Business

Sep 2, 2026 2:20 PM

These Russian Mathematicians Taught AI Models How to Talk to Each Other Without Using Words

A startup cal

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Will Knight

Business

Sep 2, 2026 2:20 PM

These Russian Mathematicians Taught AI Models How to Talk to Each Other Without Using Words

A startup called Mostik has a wild new approach to combining the capabilities of AI models.

Photo-Illustration: WIRED Staff; Getty Images

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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.

The mathematicians work for a

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

—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.

The startup used the approach to build a model that has rocketed to the top of

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.

“It’s well-known in machine learning that ensembles of models perform better than individual ones,” Sasha Malysheva, Mostik’s CEO, told me over coffee.

Malysheva, who developed the approach, shared a running joke inside the company: The future of AI is similar to guessing the weight of a pig. In math circles, it’s well-known that a handful of random people can more accurately estimate a pig’s weight than an expert when their guesses are combi


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