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gemini-4VIDEO

Gemini 4 Argon 在 ERQA 具身推理拿 87%

Argon 在具身推理基准 ERQA 得 87% 居前沿模型首位,其 Real2Sim 能从一张照片建物理仿真并生成 4500 条训练数据。

Michelle Sun
@michellelsun21 天前收录原推发布于 2026.10.14
Michelle Sun @michellelsun原推发布于 2026.10.14
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Google released Gemini 4 Argon yesterday. It scores 87% on ERQA, the embodied reasoning benchmark, first among frontier models. What stood out to me is Real2Sim. How it works: Argon takes one photo of a workspace. It builds a simulation twin with calibrated physics. It generates 4,500 training episodes inside that twin. A robot policy trained on that data went from 56% to 75% success in the real world. With Argon, Google is automating the engineering work around the robot. https://x.com/Google/status/2110041301253075358/video/1

x.com/michellelsun/status/2110376262841872804采集于 2026.10.15 11:37