论阅历,没有人比大语言模型(LLM)读过的书更多了,论知识,没有人比LLM的知识更丰富,论认知,只要你用的多了就会发现,LLM的认知明显高于一般人。所以LLM完全可以充当你我的人生导师。
In terms of experience, no one has read more books than a large language model (LLM). In terms of knowledge, no one is more knowledgeable than an LLM. In terms of cognition, the more you use it, the more you'll realize that an LLM's cognition is significantly higher than that of the average person. So, an LLM can absolutely serve as a life coach for us.
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自然界中的手性偏好可能源于自催化分子手性与活性突变的不均衡。出于好奇,我们通过模拟自催化分子的演化过程,考察了手性在时间演变中的分布变化。
The chiral preference observed in nature may stem from an imbalance between the self-catalytic chirality of molecules and active mutations. Out of curiosity, we simulated the evolutionary process of self-catalytic molecules to explore how chirality evolves over time.
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VSCode(配合GitHub Copilot),Cursor,和WindSurf是三种常见的AI辅助的代码编辑软件。它们的界面风格和功能(特指AI功能)大同小异,使用体验上也有很多相似之处。本人已处在选择困难状态长达半年之久,故对这三种软件的界面风格和功能进行了对比及打分。最终,Cursor以微弱优势胜出。
VSCode (with GitHub Copilot), Cursor, and WindSurf are three common AI-assisted code editing software. They share similar interface styles and features (specifically AI features), with comparable user experiences. Having been in a state of decision paralysis for half a year, I've compared and rated these three software's interface styles and features. In the end, Cursor emerged victorious by a narrow margin.
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本文总结了我们团队近期完成的一个小项目:使用Lammps模拟两种MOF(TUB75和TUB76)在潮湿环境下对CO2吸附作用的动力学。本模拟旨在解释为何TUB75在潮湿环境下仍能表现出优异的CO2吸附性能,并预测TUB76是否也具备类似性能。
This article summarizes a recent small project completed by our team:using Lammps to simulate the dynamics of CO2 adsorption by two MOFs (TUB75 and TUB76) in a humid environment. The simulation aims to explain why TUB75 exhibits excellent CO2 adsorption performance in a humid environment and to predict whether TUB76 has similar performance.
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人应该怎么做才能规避痛苦,或者至少减弱痛苦的程度?本文总结了本人对这个问题的思索,并尝试给出一套应对(心理上的)痛苦的通用方法。
What should one do to avoid pain, or at least mitigate its intensity? This article summarizes my thoughts on this question and attempts to provide a general method for dealing with (psychological) pain.
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截至目前,我发现的登录远程目录提交slurm任务的最方便的方法是使用VSCode的Remote-SSH插件和slurm-dashboard插件,可以一键提交slurm任务。这里简单的记录一下我的安装和配置方法。
So far, the most convenient way I’ve found to submit Slurm tasks on a remote directory is by using VSCode’s Remote-SSH plugin combined with the Slurm-Dashboard plugin, allowing one-click submission of Slurm tasks. Here, I’ll briefly document my installation and configuration process.
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