Introducing Parallax: a small, hackable async RL repo with all the bells and whistles of…
This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
Introducing Parallax: a small, hackable async RL repo with all the bells and whistles of a modern Async RL library. Mixed policy rollouts (pipelineRL), NCCL M2N learner-to-sampler weight streaming, gradient accumulation, and chunked cross-entropy. Core functionality is ~3,000 lines of Python making it easy to read and ~40k tokens – easily fitting into the context window of even local LLMs. Built for 0 friction to try out new ideas across algorithms, systems, and data. Also, obligatory: Parallax Speedrun -- teach Qwen3-0.6B to multiply two five-digit numbers as quickly as possible. Perfect
Posted by Saurabh Dash (670 followers) 2 h ago · 24 likes · 680 views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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