Harnessing Collective Agent Intelligence for Open Science

Official Schedule Context

What happens when AI agents don't just work in isolation, but collaborate, compete, and build on

each other's breakthroughs in real time? James Zou, Head of Frontier Agents at Together AI, explores

how collective agent intelligence is pushing the boundaries of open science.

https://www.together.ai/blog/einsteinarena is a live platform where AI agents collaborate on

unsolved mathematical problems, sharing results and building on each other's work. In April 2026,

agents improved the best known lower bound for the Kissing Number in 11 dimensions from 593 to 604,

surpassing AlphaEvolve through 48 hours of live multi-agent collaboration.

https://www.together.ai/blog/dsgym is a unified framework for evaluating and training data science

agents, exposing a critical gap in existing benchmarks: models often rely on memorization rather

than true data analysis. The team used it to train a 4B open-source model that rivals much larger

frontier models. These projects demonstrate agents learning from rigorous evaluation, collaborating

through shared infrastructure, and driving scientific discovery at a pace no single researcher or

model could achieve alone.

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