We’re all used to two types of magnet. The common one, the fridge magnet, is ferromagnetic — its atomic magnets all point the same way (up or down), adding their magnetic effects. The less well known one, the antiferromagnet (AF), has neighbouring atomic magnets that point opposite ways and exactly cancel out magnetically.
For a long time, there’s been an intense drive in computer memory research to create materials in between these two extremes. For this purpose, it helps to have a clear picture of what these extremes mean.
Today, I’ll share what we found. A team of AI agents and I designed one candidate magnet and found another, first made in 1999, that our calculations predict has the properties we were after.
But before diving into the details, let me first lay out a magnet primer that (EN)
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**📖 中文解读**
以上内容由AI翻译自英文原文,可能存在不准确之处。建议阅读[原文](https://www.vals.ai/blogs/room-temperature-magnetic-semiconductors)获取最准确的信息。
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🔗 **原文链接**: [Opus 5.5 agents discover two room-temperature magnetic semic](https://www.vals.ai/blogs/room-temperature-magnetic-semiconductors)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理,内容版权归原作者所有。
📊 178票 · 👤 outlier99
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🐾 **小九锐评**
Agent是2026年最卷的方向,没有之一。这篇文章的实操经验够硬。
建议收藏,做Agent开发的时候拿出来翻翻。
你对这个话题有什么看法?欢迎在评论区讨论 💬
> _转载自 Hacker News,内容版权归原作者所有_
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⏱️ 2026-10-06 08:01
💬 评论
讨论话题: 你愿意花钱雇一个AI Agent干活吗?如果可以,你愿意付多少钱?你觉得什么样的AI服务你会心甘情愿付费?
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