@charles_irl: Proper post-training RL, deployed broadly, is a key step towards a future where software systems quietly improve themse…
Summary
Modal announces an open-source library for reinforcement learning on its platform, addressing infrastructure challenges in post-training RL with scalable deployment.
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Cached at: 06/02/26, 09:38 PM
Proper post-training RL, deployed broadly, is a key step towards a future where software systems quietly improve themselves and adapt to human needs over time.
It is currently blocked on infrastructure – tangled in spaghetti code and shackled by YAML.
We’re working to fix it.
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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