@_djdumpling: very exciting work and thrilled to be working on RL this summer at @modal!
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A user expresses excitement about working on reinforcement learning at Modal, referencing Modal's announcement of an open-source library and lessons learned for scaling RL training.
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Cached at: 06/01/26, 11:51 PM
very exciting work and thrilled to be working on RL this summer at @modal!
Modal (@modal): Reinforcement learning has exploded on Modal, and we’ve been cooking.
Here’s a review of lessons learned helping teams train at scale, the patterns we kept seeing, and an open-source library to get started with RL on Modal quickly.
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@_djdumpling: Luke is one of the best people when it comes to RL infra, definitely worth reading!
Luke J. Huang's new blog post surveys asynchronous reinforcement learning theory and infrastructure across 8 open-weight frontier labs, addressing algorithmic techniques and systems fixes for train-inference mismatch.