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Harnessing Collective Agent Intelligence for Open Science

Conference Context

Session Description

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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Notes

Synthesis

Synthesized Breakdown

Harnessing Collective Agent Intelligence for Open Science ## Conference Context - Date/time: 2026-06-30 · 12:05pm-12:25pm - Track/room: track TBD · Expo Stage 3 SW - Speaker(s): James Zou - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 3 SW - Session type: session - Status: confirmed ## Session Description 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.

Speaker And Company Context

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Novel Concepts / Clever Methods

Evidence Boundary

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