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English(EN) Introducing Praxis-1, an open-weight World Action Model that turns our video pre-training expertise into real world control for robots.

Runway ML发布Praxis-1世界动作模型以实现机器人控制

Runway ML推出了Praxis-1,一个开放权重世界动作模型,旨在使机器人能够从海量视频数据中学习。该模型利用了Runway在视频预训练和实时基础设施方面的专业知识,为机器人开发者提供了一个策略模型。Praxis-1旨在利用丰富的视频数据,为各行各业带来具身智能,目前正与Noble Machines和Standard Bots等合作伙伴进行测试,并计划在不久的将来公开发布权重。 AI

影响 使机器人能够从视频数据中学习,可能加速各行业的具身AI发展。

排序理由 前沿实验室模型发布,附带系统卡[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 X — Runway (video gen) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Runway ML发布Praxis-1世界动作模型以实现机器人控制

本文如何被排名

Signal score
6 / 100
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Newsworthiness bucket
Significant
前沿实验室模型发布,附带系统卡[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. X — Runway (video gen) TIER_1 English(EN) · runwayml ·

    推出 Praxis-1,一款开放权重世界动作模型,将我们的视频预训练专业知识转化为机器人现实世界控制能力。

    Introducing Praxis-1, an open-weight World Action Model that turns our video pre-training expertise into real world control for robots. Robot demonstration data is limited. But video data is infinite. Praxis-1 extends our bet that the best policy models will learn from video, ht…