English(EN) The best AI passes 37% of real engineering tasks. Most people would pass none

AI模型在新的RWE-bench上处理真实工程任务

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 00:01

一项名为RWE-bench的新基准测试已发布，旨在测试AI在真实工程任务中的能力。该基准包含机械、电气和航空航天工程的20项任务，结果将根据具体要求和物理模拟自动评分。GPT-6 Astra目前在该基准测试中领先，完成了37%的任务，其次是Opus 5.5（29%）和GPT-6.1 Sol（25%）。虽然这些分数可能看起来很低，但它们远远超过了人类在类似任务上的表现，特别是对于非专业工程领域的人员而言。 AI

影响该基准测试为AI在复杂、真实工程领域的能力提供了一个新的衡量标准，有望加速这些领域的AI发展。

排序理由发布了新的AI工程任务基准测试。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 发布了新的AI工程任务基准测试。[lever_c_demoted from research: ic=1 ai=1.0]
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r/singularity TIER_2 English(EN) · /u/ZeroCool86 · 2026-10-28 00:01

最佳AI通过37%的真实工程任务。大多数人将一事无成

<div class="md"><p>Xplore released RWE-bench today, 20 mechanical, electrical and aerospace tasks written by engineers who do this for a living. One is a diesel crankshaft that has to survive 2,400 rpm, one is routing a DDR3 memory bus on a real FPGA board, and one…

本文如何被排名

报道来源 [1]

最佳AI通过37%的真实工程任务。大多数人将一事无成

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