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Frontier Code

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The misaligned incentives behind AI coding agents Jul 30, 2026 · 50:16 The industry is shifting focus from training bigger models to optimizing cost and speed. Key techniques include the 'sidekick' agent architecture, which uses parallel processing of multiple LLMs for better price performance.

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Training Cognition SWE-1.7: Asynchronous RL at Global Scale Oct 7, 2026 · 22:18 This talk covers the systems and algorithmic challenges behind making globally distributed RL work at scale. We will discuss how we decouple training from inference, propagate compressed weight updates across datacenters, and design the infrastructure to tolerate frequent hardware failures.

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Training Cognition SWE-1.7: Asynchronous RL at Global Scale

This talk covers the systems and algorithmic challenges behind making globally distributed RL work at scale. We will discuss how we decouple training from inference, propagate compressed weight updates across datacenters, and design the infrastructure to tolerate frequent hardware failures.

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The misaligned incentives behind AI coding agents

The industry is shifting focus from training bigger models to optimizing cost and speed. Key techniques include the 'sidekick' agent architecture, which uses parallel processing of multiple LLMs for better price performance.

Read article