These Russian Mathematicians Taught AI Models How to Talk to Each

What happened

A Russian startup named Mostik has introduced a novel method for enabling different artificial intelligence models to communicate with one another without translating their internal representations into human language. Founded by Russian mathematicians, the company has developed an approach that bypasses traditional natural language interfaces, allowing diverse neural networks to share information directly. This technique aims to combine the distinct capabilities of various AI models, creating a more integrated system that can leverage the unique strengths of each individual

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.The 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.

How it works

Typically, this involves feeding the output of one model into another, which takes a good chunk of time and money. The Mostik team, however, figured out a way for AI models to talk to one another without producing text output.

Why it matters

The method is a no-brainer for anyone tasked with running models as efficiently as possible, Tuyls says.Stanislav Smirnov, a professor at the University of Geneva and a 2010 Fields Medalist, is Mostik’s chief scientist. See the full write-up from Wired via the source link for quotes and complete context.

Who is affected

Read the original coverage at Wired via the source link above for the complete details and primary quotes.

What to watch next

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