Scaling to Long-Horizons: Algorithms, Environments, Compute

Official Schedule Context

• Date/time: 2026-06-29 · 2:25pm-2:45pm
• Track/room: Data Quality · Track 9
• Speaker(s): Ross Taylor, Chengxi Taylor
• Session type/status: session · confirmed

Official Description

What does it take to scale language models to year long tasks? In this talk we'll cover the

algorithm, environment and compute considerations for scaling language models to long horizons.

We'll cover the latest reinforcement learning approaches, how to build hard, high-fidelity long-

horizon environments, and how to build scalable infrastructure for these tasks.

Related YouTube Video

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Transcript Status

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

People

• ross taylor
• chengxi taylor

Notes

• Pending transcript synthesis when an official recording or confirmed matching video is available.