---
format: "aidr-story-markdown/v1"
id: "1476da31c6edf22af7638e341f54a48b14630a6d584262577ab7285e61a73258"
canonical_url: "https://aidr.today/1476da31?lang=en"
title: "Humansand Open-Sources Tool to Speed Up Large-Scale RL Weight Updates"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-02T21:08:22.000Z"
category: "Open Source"
topics: ["open-source"]
source_urls: ["https://huggingnews.com/ai/humansand-open-sources-tool-to-speed-up-large-scale-rl-weight-updates-455d26fb","https://marketbrief.now/ai/humansand-open-sources-tool-to-speed-up-large-scale-rl-weight-updates-455d26fb"]
summary: "Humansand developed a method called \"weight teleportation\" to reduce the sampler pause time for reinforcement learning (RL) to less than 0.23 seconds. This software uses GPUs for parallel compression of model weight updates and integrates with Nvidia's Blackwell chip architecture. Humansand released the technology as open-source."
---

# Humansand Open\-Sources Tool to Speed Up Large\-Scale RL Weight Updates

> [Open the canonical story](<https://aidr.today/1476da31?lang=en>)

**Published:** 2026-11-02T21:08:22.000Z
**Category:** Open Source
**Topics:** open\-source

## Summary

Humansand developed a method called "weight teleportation" to reduce the sampler pause time for reinforcement learning \(RL\) to less than 0\.23 seconds\. This software uses GPUs for parallel compression of model weight updates and integrates with Nvidia's Blackwell chip architecture\. Humansand released the technology as open\-source\.

## Sources

- [Story source](<https://huggingnews.com/ai/humansand-open-sources-tool-to-speed-up-large-scale-rl-weight-updates-455d26fb>)
- [Story source](<https://marketbrief.now/ai/humansand-open-sources-tool-to-speed-up-large-scale-rl-weight-updates-455d26fb>)