Markdown source

Scaling to Long-Horizons: Algorithms, Environments, Compute

Conference 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

• Track: Data Quality
• Room: Track 9
• Session type: session
• Status: confirmed

Session 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.

Media Evidence

No related AI Engineer channel video found yet.

Evidence Graph

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Media Signals

No linked video, transcript, or slide source has been attached yet.

Agent Reading Notes

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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.

Synthesis

Synthesized Breakdown

Scaling to Long-Horizons: Algorithms, Environments, Compute ## Conference 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 - Track: Data Quality - Room: Track 9 - Session type: session - Status: confirmed ## Session 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. ## Media Evidence No related AI Engineer channel video found yet.

Speaker And Company Context

• Ross Taylor — CEO at General Reasoning.
• Chengxi Taylor — Co-founder & President at General Reasoning Inc..

Topics Covered

• Topic links are pending transcript-backed classification.

Derived Links And Source Material

Novel Concepts / Clever Methods

• No highlighted novel concept has been detected yet.

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.