在人工智能日新月异的时代，如何让大模型更高效地处理长文本成为了研究者们关注的焦点。最近，麻省理工学院计算机科学与人工智能实验室（MIT CSAIL）提出了一种革命性的递归语言模型（Recursive Language Model，RLM），旨在解决大模型在处理超长文本时所面临的上下文腐烂问题。这项研究的核心理念是：不对模型的架构进行改动，依然能够让像GPT-5和Qwen-3这样的顶尖模型处理多达千 ...

How Recursion is leading a new era of AI-driven drug discovery AI drug discovery is not a new phenomenon – but it is evolving at an almost dizzying pace. Recursion is one of the earliest innovators in ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

Recursion Pharmaceuticals, Inc. is a clinical-stage biotechnology company that combines automation, artificial intelligence, machine learning, and in vivo validation capabilities to discover novel ...

Recursion Pharmaceuticals, Inc. is a clinical-stage biotechnology company that combines automation, artificial intelligence, machine learning, and in vivo validation capabilities to discover novel ...

这个批评有一定道理。从本质上看，RLM确实是把上下文问题转化为搜索问题，而非真正的压缩或记忆。它依赖模型生成可靠的检索代码，而当前模型在这方面并不完美——可能写出糟糕的正则、陷入无限递归、或者遗漏关键片段。

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从宏观数据来看，名校学历的经济回报依然显著。根据教育部与智联招聘联合发布的《2024中国高校毕业生就业趋势报告》，985/211院校毕业生的平均起薪仍比普通院校高出35%至50%，进入头部企业的比例高达42%，是后者的2.3倍。这些数字似乎印证了学历 ...