让大语言模型来当你我的人生导师吧!- Let Large Language Models Be Our Life Coaches!
发表于 - Posted on
编辑于 - Edited on
字数 - Word count:
3.8k
阅读时间 - Reading time ≈
14 mins.
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.
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.
模拟实验:自然界中手性偏好的起源 - Simulation Experiment:The Origin of Chiral Preference in Nature
发表于 - Posted on
字数 - Word count:
1.4k
阅读时间 - Reading time ≈
5 mins.
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.
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.
Tennisbot第六版:更新简介,项目介绍及使用方法
发表于 - Posted on
编辑于 - Edited on
字数 - Word count:
2.9k
阅读时间 - Reading time ≈
11 mins.
Tennisbot更新至第六版,新版本支持Linux服务器运行,大幅重构代码结构使其更现代化,并全面支持中英文。本文详细介绍了更新内容、项目特性及部署方法。
VS Code、Cursor和WindSurf:三款AI辅助编程工具的对比及打分 - VS Code, Cursor, and WindSurf:A Comparison and Rating of Three AI-Assisted Programming Tools
发表于 - Posted on
字数 - Word count:
1.2k
阅读时间 - Reading time ≈
5 mins.
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.
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.
两种MOF的潮湿环境下CO2吸附动力学模拟 - Simulation of CO2 Adsorption Dynamics by Two MOFs in a Humid Environment
发表于 - Posted on
编辑于 - Edited on
字数 - Word count:
4.3k
阅读时间 - Reading time ≈
16 mins.
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.
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.
如何应对痛苦 - How to Deal with Pain
发表于 - Posted on
编辑于 - Edited on
字数 - Word count:
5.9k
阅读时间 - Reading time ≈
21 mins.
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.
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.
推荐实时视频模型:gemini-2.0-flash - Recommend a real-time video input AI model
发表于 - Posted on
字数 - Word count:
271
阅读时间 - Reading time ≈
1 mins.
推荐一个可以实时读取摄像头/屏幕的多模态AI模型:google gemini 2.0 flash。
Recommend a multimodal AI model capable of real-time camera/screen reading:Google Gemini 2.0 Flash.
Recommend a multimodal AI model capable of real-time camera/screen reading:Google Gemini 2.0 Flash.
推荐一套方便的远程目录提交slurm任务的方法 - Recommend a convenient method for submitting slurm jobs in remote directories
发表于 - Posted on
编辑于 - Edited on
字数 - Word count:
852
阅读时间 - Reading time ≈
3 mins.
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.
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.
想你
发表于 - Posted on
编辑于 - Edited on
字数 - Word count:
416
阅读时间 - Reading time ≈
2 mins.