Add Slack channels for contributing to bitwise consistency work

Added links to #sig-post-training and #sig-batch-invariant Slack channels
in the blog post to invite readers to contribute to future developments.

Signed-off-by: Bram Wasti <bwasti@meta.com>

Author: bwasti

_posts/2025-11-10-bitwise-consistent-train-inference.md

@@ -37,6 +37,9 @@ We will continue to push forward on bitwise consistent training and inference. T
 
 **Wider Model Support** We plan to extend this bitwise-consistent RL framework beyond Qwen3 1.7B to support other open models. We will also generalize the auditing tools and backward implementations to cover a broader range of operator types, making bitwise training-inference consistency a scalable and reusable feature.
 
+If you're interested or would like to contribute, please join these Slack channels:
+- [#sig-post-training](https://vllm-dev.slack.com/archives/C07UUL8E61Z)
+- [#sig-batch-invariant](https://vllm-dev.slack.com/archives/C09JVU355CG)
 
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 *Authors: