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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score20

Skyfall AI Shares SKY-001 Comparison on Engineering Design TasksMachine translation

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AI introduction

The Skyfall AI team says it has shared a comparison of its engineering world model SKY-001 with frontier LLMs on complex engineering design tasks, claiming an advantage for world models. The material gives no specific scores or test conditions.

Original post · AI translation

@rohanpaul_ai
Translation · refer to the original

@spisallyouneed @skyfallai 对 CAD 工程师来说太棒了 一直递归细化到螺丝。

ReplySam Pasupalak@spisallyouneed
Translation
认识一下 SKY-001 背后的世界级研究团队。SKY-001 是首个工程世界模型。 解决物理世界中复杂的设计和工程问题,比使用下一个词元预测的 LLM 智能体所处理的问题难上好几个数量级。为了实现这项研究突破,我们 @skyfallai 的团队决定走一条与其他人不同的路。 上周,我们分享了 SKY-001 与前沿 LLM 的对比结果,展示了世界模型在工程设计等复杂现实世界任务上的明显优势。 这里有一段抢先预览视频,你可以直接听研究人员讲述我们的方法有何独特之处、采用了哪些训练和数据收集范式,以及我们为何相信世界模型是 AI 的下一个前沿。 能与这个团队并肩工作,我感到无比自豪。
Original

Meet the world-class research team behind SKY-001, the first Engineering World Model. Solving complex design and engineering problems in the physical world is orders of magnitudes more difficult than LLM agents using next token prediction. Our team at @skyfallai decided to take a different path than everyone else out there in order to achieve the research breakthrough. Last week, we shared how SKY-001 stacks up against frontier LLMs, showing the clear advantage World Models have on complex real-world tasks like engineering design. Here is a sneak peek video where you can learn directly from the researchers about what makes our approach unique, what training and data collection paradigms were used, and why we believe World Models are the next frontier in AI. I’m incredibly proud to work alongside this team.

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Source: Rohan Paul · x.com

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