I’ve exported our core issue templates, labels, and cycle settings into this file. It’s designed for small-to-medium teams looking for a clean, "opinionated" workflow that cuts out the noise of Jira. Inside this archive:
Pre-filled bug reports and feature requests. Custom Labels: Organized by priority and team focus.
You can find the original paper and more technical details on arXiv . Tips for your post: linear.rar
I’ve compiled my training scripts and a subset of the latent space tokenizer data into this file (named "linear" for its focus on linear-scaling communication efficiency in distributed training). Key Highlights:
I've been experimenting with the new modeling technique. Unlike standard autoregressive models that follow a strict order, RAR uses randomized paths to significantly improve image generation quality. I’ve exported our core issue templates, labels, and
Includes the logic-ring gradient averaging setup to reduce communication overhead.
Achieve higher structural consistency and color fidelity compared to baseline models. Custom Labels: Organized by priority and team focus
Use this if you are sharing a backup or a set of exported issues/workflow settings from the Linear project management tool .