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    2. BKS2000 10 Apr 2026
      💬

      Dan Minglun: (The beggar) coughed out phlegm to the human heart; the magis was uncanny; the one who was forced to eat it would suffer. I do not know whether Wang would be beating his breast and grieved enough, like how painful (his wife was) after he revived.

      但明倫: 咯痰唾以爲人心，仙術則奇；所苦者，强啖之人耳。不知其復活以後，亦嘗撫膺而痛心及此否。

    3. BKS2000 10 Apr 2026
      💬

      Fang Shuyan: Why say "painted" when talking about skin? It is about making the appearance seductively charming; why say "skin" when talking about paint? It is about the foul human shell. Those in the world who like Wang see the fine appearance and forget about the foulness of the human shell; they think the women's eyebrows are curve like the far mountains, their eyes are clear like the water of autumn, their hair on the temples is like clouds, their cheeks are like peaches, their lips are red like cherries, their teeth are neat like the seeds of gourds; and their breasts like fox nut, soft waists like willows, steps like golden lotuses, tender flesh like rosemallow, these gather the most pleasant analogies.* Once hang out with the concubine, they try to escape from their shrew-like wives; when they hold hands and go back home with their concubines, they feel satisfaction like butterflies following them. Not as soon as Wang saw the body of the woman, he died of her. Hanging the fly swatter and breaking the door of his bedroom, when the fiendish ghost opened her mouth, Wang's belly was broken, his heart was gone and dead. Alas! The one who beheaded the ghost was the ghost herself, not the Daoist Priest. The one who took Wang’s heart was Wang himself, not the ghost. If the ghost did not hurt people, she could not be suffered from the wooden sword; if Wang did not desire lust, how could his wife suffer from the pain of losing her husband and the shame of eating phlegm? From this, we could see that the beautiful appearances are actually foul human shells, and even more, they are scary. Those crazy ones can not realize that.

      方舒巖: 皮曷云畫？冶容也。畫曷云皮？臭囊也。乃世見容忘臭如王生者，以爲眉若遠山，眼如秋水，云鬢桃腮，櫻唇犀齒，與夫鷄頭乳、楊柳腰、金蓮步、芙蓉脂肉，聚天下之怡情悦目者悉備於此。*一旦抱裯獨走，遂逃獅吼之憂；携手同歸，我慰蝶隨之慕，有不待玉體横陳，而魂已消于阿堵矣。蠅拂懸，寢門折，獰鬼口張，心亡肚裂。嗚呼！斬獰鬼首者獰鬼也，非道士也。掬王生心者王生也，非獰鬼也。設獰鬼能不害人，則可以免乎木劍；王生能不漁色，又何至使其妻遭夫亡之慘，復拒食唾之羞？由是觀之，較視玉容爲臭皮囊更爲毛髮悚然。其如狂且之不悟何。

    4. BKS2000 10 Apr 2026
      *

      Yicong Wang: This Annotation refers to the allusions used in the commentary by Fang Shuyan.

      These analogies of females' appearances are all commonly used analogies in classical Chinese.

    5. BKS2000 10 Apr 2026
      💬

      He Shouqi: The evil spirit flirted with Wang so well; those who do not know how to control themselves will all fall into her trap. However, the evil spirit is scary indeed; the temptations that are not evil spirits are also scary, a decent gentleman should be cautious about that. The Daoist priest gave Wang a fly swatter, but it could not save Wang's life in the end, the Daoist priest was of no use; the crazy man let Wang's wife eat his coughed-up phlegm, and that could revive Wang, Who was that crazy man?

      何守奇：魅挑生之言甚工。使非有以自持，無不入其彀中矣。然魅之爲魅可畏，非魅之魅仍可畏，是故君子慎之。道士以蠅拂授王生，終不能救王生之死，是道士不濟。瘋者以咯痰啖生妻，乃竟能致王生之生，彼瘋者何人？

    6. BKS2000 10 Apr 2026
      💬

      Dan Minglun: The beautiful woman, but an old woman, a demon, and lies down while howling like pigs, turning into dense smoke. When having pleasure in the quilt, it may be called "having all sorts of wonderful things."

      但明倫：麗人也，而老嫗矣、厲鬼矣，且卧嗥如猪，變作濃煙矣。衾裯中得意時，可謂無美不備矣。

    22. BKS2000 09 Apr 2026
      💬

      〔但評〕彼固愛佳人而甘心就死者，活之何爲？彼愛人之佳人，人亦將愛彼之佳人，彼之佳人且將轉而愛人矣。「人盡夫也，活之何爲？」此仙人警人語也，勿作瘋顛語看。

    40. BKS2000 09 Apr 2026
      💬

      Dan Minglun: Death was about to come, but he did not awake. How clear that priest's advice to him; but when he first heard it, he doubted it; when he rethought about it, he thought it was crazy. Loyal advice is harsh to the ear; it is always this case!

      但明倫：死將臨而不悟，其言何等真切；乃初聞之而疑，轉思之，且以爲妄矣。忠言逆耳，固如是夫！

    57. BKS2000 09 Apr 2026
      *

      Bibliography: Hui Luo, “The Ghost of ‘Liaozhai’: Pu Songling’s Ghostlore and Its History of Reception,” The Ghost of “Liaozhai”: Pu Songling’s Ghostlore and Its History of Reception (dissertation, University of Toronto (Canada), 2009). P.156.

      Werner, Sarah 2019 Studying Early Printed Books, 1450-1800: A Prac,cal Guide. Wiley

      字典

    58. BKS2000 09 Apr 2026
      *

      Yicong Wang:

      This Annotation refers to the allusions used in the commentary by Feng Zhenluan.

      • 魯男子: Man in the Lu State: First mentioned in The Book of Poetry, telling the story of a man from the Lu State, who had no lust for women, refused to stay with a woman in a night of rainstorm. This term was later commonly used to refer to a man with no lust for women.
      • 北邙 Beimang Mountain: The mountain is the place of plenty for premodern Chinese nobles' tombs; the name of this mountain is commonly used to refer to tombs.
    59. BKS2000 09 Apr 2026
      💬

      Feng Zhenluan: Everyone would see her and call her a beauty, but I would see her as a fiendish ghost. If everyone had my eyes, they would all be man with no lust for women (Man in the Lu State).* My heart is like a dead tree, abstinent like the sage, deity, or Buddha. Otherwise, if the mind is deluded by desires, I will be dust in the grave (under the Beimang Mountain)."

      馮鎮巒: 人見呼佳人，我見如獰鬼，人人如我眼，便是魯男子 。此心即枯木，聖賢仙佛矣，不然心眼迷，北邙 山下土。

    60. BKS2000 09 Apr 2026
      💬

      Dan Minglun: She was clearly a beautiful woman, yet had a bluish-green face and jagged, saw-like teeth, only wearing a coloured-painted human skin? Those in the world who confuse people with gaudiness are actually those people who wear human skin, and paint them with coloured pen every day. Alas, that is so scary!

      但明倫：明明麗人也，而乃翠面鋸齒，徒披采繪之人皮者乎？世之以妖冶惑人者，固日日鋪人皮，執采筆而繪者也。吁！可畏矣！

    61. BKS2000 09 Apr 2026
      *

      Yicong Wang: Qing Dynasty's Commentators Included in This Edition (1644—1912)

      Dan Minglun 但明倫 (1782－1855)

      He Shouqi 何守奇 (commented around 1816-1823)

      Feng Zhenluan 馮鎮巒 (1760—1830)

      Fang Shuyan 方舒巖 (commented around 1811)

    62. BKS2000 09 Apr 2026
      *

      Yicong Wang: I suggest emending this translation of "southern courtyard" to "southern courtyard of the household." The translation "southern courtyard" could be confusing in showing the place where Wang’s younger brother lived, as it does not fit enough to show how the whole family was living in one complex, and each smaller family lived in one part of the complex, in premodern China, by the time the author lived.

    63. BKS2000 09 Apr 2026
      *

      Yicong Wang: This edition is only used for the course assignment BKS 2000 at the University of Toronto.

      Editor's Introduction: Introduction of the Timeless Readership Edition The Painted Skin is a chapter from the Strange Tales from a Studio of Leisure, a Chinese anthology of supernatural stories written by Pu Songling (1640-1715), first published in 1680. Luo Hui at the Victoria University of Wellington argued that this particular book is "arguably the most read, studied, translated, staged, and filmed ghost story collection in the world," with a long history of popular reception and adaptation.

      In its long history of adaptation and reception, the main body or story itself is not the only part that intrigues me. It would be noticeable that this text has an abundance of commentary tradition, especially the in-text commentaries written by literati commentators published with certain editions, as a part of the main texts in the 18th and 19th centuries. One could argue that in those editions, what attracted the readers was the minds of both the author and their fellow readers.

      With the help of the web-commenting tool hypothes.is, and the platform GitHub, this edition can reappear the in-text commentary tradition by the 18th and 19th century commentators, while I enable the contemporary readers to add their commentaries by highlighting the text-cloud buttons. Both commentaries and editors’ notes are displayed only if the readers click the button, so it would be the readers’ choice to let them appear or not.

      For the in-text commentary tradition of this book, when going over editions over hundreds of years, a diverse type of in-text commentary could be found, the most common ones included in the Strange Tales from a Studio of Leisure are: Zhu: philology Notes, Jiao: textual variations, and ping: commentaries on texts/ contents. This edition will include the Ping, which was the commentary on the texts.

      In the process of researching 18th and 19th-century commentaries, it would be noticeable that the four commentators that I have included in this edition are commonly perceived as the "most well-known" ones, and have been included in both earlier and contemporary editions. However, other commentaries, either existing only in manuscripts or not massively produced, are relatively less represented. In my editing process, I kept the argument of Sarah Werner in mind. "We work with what we have, but we can try to remember there’s a lot we don’t have." It would always be worth remembering that these commentaries could not represent the complete and comprehensive commentary tradition of the 18th and 19th-century.

      As there would be an accumulation of commentaries as time goes by, the ongoing resonances and conversations would have the potential to demonstrate the continuity of a relatively more timeless reader’s community over hundreds of years.

    64. BKS2000 09 Apr 2026
      💬

      Feng Zhenluan： The heart after that will not be the heart before; the previous heart desired for sexual lust, what will the new heart desire? I would like to ask.

      馮鎮巒：此後之心非向日之心也，向日之心好色，此後之心何好，吾欲問之。

    65. BKS2000 09 Apr 2026
      *

      Yicong Wang: This edition of the text is from the Jain Publishing Company’s edition, edited and translated by Sidney L. Sondergard.

      This edition also includes the Qing Dynasty's Commentaries (1644—1912), from editions edited by Ren Duxing.

      The digital reading platform edition is edited, and the historical comments are translated by Yicong Wang.

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    1. fxp007 10 Apr 2026
      The human's job is to curate sources, direct the analysis, ask good questions, and think about what it all means. The LLM's job is everything else.

      【启发】这句话是对未来知识工作分工的最清晰定义：人负责「品味、方向、意义」，AI 负责「执行、维护、连接」。这不是「AI 替代人」的叙事，而是「AI 承担所有繁琐工作，人专注于真正重要的判断」。对团队 AI 工具设计的启发：最好的 AI 工具设计应该让人的时间 100% 用在「只有人才能做的事」上——而这个边界，正在随着 AI 能力的提升不断向内收缩。

      inspiration human-AI-division curation-vs-execution future-of-knowledge-work
    2. fxp007 10 Apr 2026
      The idea is related in spirit to Vannevar Bush's Memex (1945) — a personal, curated knowledge store with associative trails between documents. The part he couldn't solve was who does the maintenance. The LLM handles that.

      【启发】Karpathy 把 LLM Wiki 定位为 1945 年 Memex 愿景的实现——80 年前 Vannevar Bush 描述了「个人知识存储与关联路径」的理想，唯一未解的问题是「谁来维护」。LLM 解决了这最后一块拼图。这个历史视角的启发是：很多「未来技术」其实早已有完整的概念框架，缺的只是执行层的突破。识别这类「概念成熟但执行缺位」的领域，是找到 AI 最有价值应用场景的方法论。

      inspiration Memex-1945 historical-vision missing-piece-found
    3. fxp007 10 Apr 2026
      Think of fan wikis like Tolkien Gateway — thousands of interlinked pages covering characters, places, events, languages, built by a community of volunteers over years. You could build something like that personally as you read, with the LLM doing all the cross-referencing and maintenance.

      【启发】把「托尔金百科全书」这种社区多年协作成果，变成个人可以独立构建的成就——这是 AI 赋能个人最令人振奋的愿景之一。它意味着「知识深度」不再是团队规模的函数，而是「持续投入时间」的函数。对 AI 硬件和个人工具设计的启发：未来最有价值的个人 AI 工具，可能是「让一个人产生团队级知识密度」的系统。

      inspiration individual-vs-team Tolkien-Gateway personal-knowledge-depth
    4. fxp007 10 Apr 2026
      Humans abandon wikis because the maintenance burden grows faster than the value. LLMs don't get bored, don't forget to update a cross-reference, and can touch 15 files in one pass. The wiki stays maintained because the cost of maintenance is near zero.

      【启发】这句话精准定位了 LLM 的「比较优势」所在：不是创造力，不是洞察力，而是「永不厌倦的维护」。人类知识库失败的根本原因是维护摩擦——而这恰好是 LLM 最擅长的。这对所有知识密集型组织的启发是：凡是人类会因「太繁琐而放弃」的知识维护任务，都是 LLM 的最佳应用场景。

      inspiration LLM-comparative-advantage zero-maintenance-cost knowledge-organization
    5. fxp007 10 Apr 2026
      good answers can be filed back into the wiki as new pages. A comparison you asked for, an analysis, a connection you discovered — these are valuable and shouldn't disappear into chat history.

      【启发】「探索本身就是知识」——这个洞见解决了对话 AI 的最大损耗问题：每次有价值的对话结束后，洞见消失在聊天记录里。LLM Wiki 把「问答」变成「知识入库」的触发器。对 AI Buzzword 频道的启发：每次深度讨论后，应该让 AI 把关键洞见直接写入 Wiki，而不是让它沉没在对话历史里。

      inspiration conversations-as-knowledge no-loss exploration-compounds
    6. fxp007 10 Apr 2026
      Obsidian is the IDE; the LLM is the programmer; the wiki is the codebase.

      【启发】这个比喻极具启发性：把知识库管理类比为软件工程——Obsidian 是 IDE，LLM 是程序员，Wiki 是代码库。这个框架的深远意义是：知识工作可以借鉴软件工程的全套工具链——版本控制（git）、代码审查（lint）、持续集成（自动 ingest）、重构（wiki 清理）。知识管理的「工程化」不是比喻，而是字面意义上可操作的。

      inspiration knowledge-engineering software-analogy obsidian-LLM
    7. fxp007 10 Apr 2026
      the wiki is a persistent, compounding artifact. The cross-references are already there. The contradictions have already been flagged. The synthesis already reflects everything you've read.

      【启发】「复利型知识资产」——这个概念彻底改变了知识工作的经济学。传统笔记系统的价值随条目增多而线性增长，而 LLM Wiki 的价值随每次 ingest 指数级增长，因为每篇新内容都会更新所有相关页面、标注矛盾、强化综合。对个人知识管理的启发：真正的知识护城河不是「读了多少」，而是「知识之间的连接有多深」——而 AI 正好擅长维护这种连接。

      inspiration compounding-knowledge knowledge-moat exponential-value
    8. fxp007 10 Apr 2026
      Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki — a structured, interlinked collection of markdown files that sits between you and the raw sources.

      【启发】这句话从根本上重新定义了 LLM 与知识的关系：从「查询时召回」升级为「持续编译」。RAG 是每次临时拼凑，而 LLM Wiki 是把知识「编译」成可积累的中间层。对 AI 产品设计者的启发是：真正有价值的 AI 工具不是搜索引擎，而是「知识编译器」——每次交互都在为下次交互铺路，而不是从零开始。

      inspiration knowledge-compilation beyond-RAG persistent-artifact
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  5. docdrop.org docdrop.org
    ‘A rather stupid but always available brainstorming partner’: Use and understanding of Generative AI by UK postgraduate researchers
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    1. Michael_.Cover 10 Apr 2026
      While that is of concern, it raised a wider issue where there may be insufficient clarity: at what point or with what type of contribution would it become incumbent on a researcher to acknowledge the input of Generative AI? Is the inclusion of AI-generated text the appropriate boundary?

      The question of "When should one acknowledge the input of Generative AI" is again a pretty open question, but for now it feels fair to state "When AI is used to help with the article, or write, or has any input, in which case one should disclose what the AI helped with or wrote and to what degree.".

    2. Michael_.Cover 10 Apr 2026
      Many HEIs recommend the use of Microsoft Bing Co-pilot as any information inputted into the chatbot can be ringfenced to within that institution as part of their Microsoft subscription,

      (Part 1 of selected quote + Data) (2)

      One must consider that companies, again, don't often consider morality, unless the "m" in morality stands for "money". Microsoft may just be saying that to collect more data, what they do with that data is past what I could know.

    4. Michael_.Cover 10 Apr 2026
      ‘It depends’ was a commonly used phrase:I think it depends what you’re using it for. If you’re asking it to write something from scratch, which you would then use in your work, then it’s not your own writing/creation, so I find that completely unethical. In terms of editing, I believe it is acceptable because I am inputting my own text.Depends how they are using AI. If it’s for writing, then that’s problematic. However if it’s a support tool then cannot see this as an issue (although cannot be relied upon).The conclusion reached by some was that clear guidance was needed quickly:I am not aware if the university has a policy on the use of AI in doctoral research/writing (or indeed at any other levels of study at the institution). If it has, it needs to be publicised more widely, and if it hasn’t got one, it needs to create one pronto!

      Problems are rarely if ever solved by solely one end of the spectrum or the other. Context is key. In this case, it depends how one uses the AI, what situation it is being used for, and why they're using it.

    5. Michael_.Cover 10 Apr 2026
      Because AI is trained on the works of others with no citations which in a way could be considered a form of plagiarism except even the author does not know what the original source is.I’ve never been able to view Gen-AI as something that magically “produces” content, but instead as a commodified theft of other people’s content.However, the most common ethical concern mentioned was in the opposite direction: the worry of LLMs retaining researchers’ inputted material and using it to reply to other users’ queries. These concerns included issues of both intellectual property and data-security:Since Generative AI is a deep-learning model, which produces answers/solutions based on the big data that it has collected (also I assume that the AI would not yet be able to filter information such as personal data), we cannot certainly say that using AI for doctoral research is free from a risk of personal data breaches.My concern would be that my original research findings then become part of the general information online. This may impact on my ability to publish.

      Because of a mixture of legally questionable sourcing (AI works off of what is online, sometimes not even citing) and legally questionable data control, (The companies that run these LLMs have an incentive to keep the data given to them, as it is worth money. Regardless of what they say they do with the data.) conversing with an AI on one's original work or having it create text for you carries the risk of it either plagiarizing off of the user, or the user accidentally plagiarizing off of someone else's work due to the AI's nature.

    6. Michael_.Cover 10 Apr 2026
      Much like use of Generative AI in research support, using such tools in the process of doctoral writing uncovered a spectrum of what was considered appropriate boundaries of use. There seemed to be a consensus that Generative AI should not be used to create large amounts of text for the author, as that would denigrate their credibility as a developing scholar. However, the use of Generative AI for functional language checks and to make adjustments to pre- written work with the aim to ‘improve’ it for an academic audience was deemed more acceptable

      It seems I have reached the same consensus that most have reached: LLMs should not be used in place of the writer, but instead in the ways it can work as a tool. (Though, I do find it questionably reliable to trust an AI to "improve" one's writing, because of the previously mentioned quality issues.)

    7. Michael_.Cover 10 Apr 2026
      ‘improving’ their writing, particularly regarding conciseness, grammar, and achieving an ‘academic tone’:I use ChatGPT to double check my writing. I have an open tab where I have trained GPT to understand my style of writing. There I ask ChatGPT to read paragraphs or sections of my work, and give me an improved version that is clearer, more engaging, yet academic.I have submitted previously written paragraphs to GPT with a set of specific instructions to proof-edit the text in order to shorten sentences and/or make them more readable based on the specified criteria.Here, again, are allusions to efficiency – some respondents ‘training’ ChatGPT to understand their writing style or using ‘specific’ prompts to generate a desired output, whereas others would take output and rewrite it to ensure it maintained their linguistic ‘style’. Some respondents were more critical of Generative AI’s ability to produce anything that was stylistically distinctive (or functional) and went beyond surface-level:. . . the current ChatGPT is very waffle-y so I think it’s quite obvious AI is being used and makes everyone’s work sound the same.I’m less interested in the plagiarism arguments around this stuff than a) the fact that every-thing it outputs is utter shite (meaningless drivel, structurally flimsy, stylistically awful).

      (Part 2 of selected quote + Data) (1)

    8. Michael_.Cover 10 Apr 2026
      Generative AI was perceived as a useful editor for a PGR’s work, particularly where English may not be their first language. It was used less frequently to generate text beyond basic planning. Respondents who used Generative AI for writing felt that it was helpful for 200R. ENGLISH ET AL.

      (Part 1 of selected quote + Data) (1)

      It is claimed here that Generative AI could serve as an editor for writers, especially those who learned English as a second language. However, again, there are problems with that.

      As is inherent with AI, at least in its current state, it is prone to making errors or missing specific parts of language or slang. Additionally, in the context of writing something with a specific style, AI is overwhelmingly prone to slowly "forgetting" what you asked of it. That includes if one asks it to write a certain way. If one simply never reminds the LLM, or can't tell that it returned to it's normal tone, (One of questionable quality for good writing.) the user could end up spending a ton of time having the AI write something in its style, instead of having it write that in their style. Arguments as to this being acceptable or not aside, what LLMs often produce is indeed sometimes "utter shite".

    9. Michael_.Cover 10 Apr 2026
      The other frequently cited use of Generative AI in research tasks was its use to generate programming code. Respondents cited using Generative AI to help with R programming language. Again, this was framed as time-saving:It speeds up programming (proposes new lines, which saves time on typing, can write a piece of generic code from a simple prompt). It can also sometimes solve errors.I have also used ChatGPT to help me write code (R and JavaScript). e.g. I wanted to create a nice-looking output table for some descriptive statistics and I didn’t know how to do this.Simply reducing the time it takes to type out code is a benefit, particularly if the prompt is short. In producing visually pleasing outputs that may be difficult or time-consuming to realise, Generative AI was felt to lessen learning time and speed up outputs. This further extended to Generative AI fixing code:[Fixing] my coding errors in a way that maximises amount of time that I can spend on my research rather than trying to fix coding bugs.

      The use of LLMs to generate code could possibly be useful at lower levels, but when one is trying to make something complex, the amount of time it takes for the AI to not make some error of some kind is exponentially higher. In order to fix these things, one would have to have enough coding knowledge to know how to write the code and where an error may be. At that point, it would probably be faster to just write out the code itself instead of prompting an AI for something that could very much have an error or two or three or more. The time sink from fixing those errors probably outweighs the time gained through asking an AI to write the code for you. Additionally, a LLM could end up using an inefficient method that works in the short term, but causes problems in the long term, which one might miss until it's too late.

    10. Michael_.Cover 10 Apr 2026
      It is not clear how much time is saved by the individual when they are having to double- check ChatGPT output to ensure reliability, or whether this considerably outweighs using another tool for the job.

      The funny part is, this could vary significantly depending on what sources are the most popular or pop up first, or if the topic itself has a lot of research done on it. It could save a large amount of time, or it could be a complete waste of time, if the AI happens to completely hallucinate all of its information.

    11. Michael_.Cover 10 Apr 2026
      There was awareness, however, that the output of some Generative AI tools regarding references may not be ‘real’:I experimented with asking chat GPT about what follow-up papers had been written on a first paper. I realised very quickly it made papers up.

      This is exactly why I would not trust the word of a LLM in their current state, especially not for important tasks. Imagine having to rely on a colleague that makes up stuff half the time for the sake of it, and rarely if ever properly fact checks their work.

      I have to say there is a weird irony in it. There is an inherent risk formed if one can't fact check what an AI produces, because the AI won't bother to fully fact check itself. Negligence all the way down

    12. Michael_.Cover 10 Apr 2026
      A few participants also raised the possibility of Generative AI as something that could help level the playing-field for PGRs who would otherwise not have the advantages available to others:I think this technology has a range of huge applications in research, specifically for disabled researchers, and researchers who work in institutions with less administrative support than others.

      It is said that a participant argued here that LLMs could be useful for those with disabilities. To which I must ask a question: How does this help those people in particular? Sure, when used as a tool or as another point of view and not as something to solve the problem entirely, it could help them as it would help anyone. But I can't think of any specific disability that LLMs would reasonably help with more than average in the workplace.

      Though, I do agree it could help those with less support from the administration, albeit at most slightly more than average. This is due to the AI filling the empty role of another perspective, somewhat making up for the loss caused by an unsupportive administration.

    13. Michael_.Cover 10 Apr 2026
      The most used word to describe the technology was ‘tool’ (46 times in free-text responses) with many PGRs viewing Generative AI as simply a technological resource like any other:This is a tool, the same as Word, Excel, Google, WhatsApp, YouTube and others.It’s a tool – like Word or Excel. If trained properly, it can be used for any purpose.

      LLMs are indeed often described as tools and can also be used as tools. The difference to something like a calculator, again, is that you can't just put any question you want into a calculator in about any format and possibly get a correct (?) end result. To use a calculator you have to at least understand the basics behind what calculations you're inputting. With a LLM, you could just screenshot a problem or a question and have it do... everything. Oftentimes, incorrectly, and the said AI won't tell you "This could be incorrect, or is based on questionable data" a vast majority of the time. Essentially, one could get to the point where they have a problem that the AI cannot produce a reliable answer for. Because of this, if the user lacks the knowledge to solve the problem themself, they simply cannot fix the issue at hand.

    14. Michael_.Cover 10 Apr 2026
      None of the seven PGRs who included such text in the work submitted for doctoral assessment reported that they made it clear to the reader that Generative AI tools had been used (six reported they did not, one answered ‘not sure’) (See Table 3).

      Interesting that of the 7 people who did use AI in their work they submitted for doctoral assessment, none of them disclosed their usage. (Well, one was unsure, but I would say that leans pretty far towards "Did not disclose/make clear") I have to wonder, of those who used AI in their work, what percent actually checked what the AI gave them?

    15. Michael_.Cover 10 Apr 2026
      No Generative AI tools were used in the research or writing of this paper

      Don't have much to comment on in this section, being the methods used. Though, it is interesting how the use or non-use of AI is often mentioned now.

    16. Michael_.Cover 10 Apr 2026
      There is more uncertainty regarding where and when LLMs can acceptably assist with writing academic research. Where are the lines to be drawn between using Generative AI to improve the standard of a researcher’s writing, generating an abstract from an already written article, contributing to body text or even being credited as a co-author (Dwivedi et al., 2023; Tlili et al., 2023)? The fundamental difference between the questions sur-rounding the use of Generative AI by taught students and those concerning researchers, be they staff or postgraduate, is the issue of originality. LLMs can create an apparently ‘new’ piece of writing but, in reality, are simply predicting the most appropriate sequence of words from existing text in their database, adjusted based on interactions with the user (García-Peñalvo, 2023).

      There is plenty of controversy as to what is acceptable usage of artificial intelligence, and what is not.

      I doubt there is an exact line to be drawn, the "placement" should vary depending on the situation. If there had to be one, I would argue it's the question of "Are you the one doing the actual work and making ideas, or is the AI?"

    17. Michael_.Cover 09 Apr 2026
      McDonald et al., 2024

      McDonald's is a large brand, and so would likely run on different goals compared to an education system. Whatever makes them the most money. Though, it is true that many places are incorporating AI.

    18. Michael_.Cover 09 Apr 2026
      Reaction from educators to the increased accessibility and rising popularity of Generative AI, particularly those that generate text responses, has been mixed. Common concerns have surrounded plagiarism in the form of students using LLMs to write assessed work, and the (in)ability of staff or plagiarism software to identify it. Some studies have suggested that not only Generative AI-written assignments can avoid detection by staff but can also be of sufficient quality to earn high grades (Bommarito & Katz, 2022; Katz et al., 2024; Vázquez-Cano et al., 2023). However, elsewhere, researchers have found AI-generated work to be either inac-curate (Gregorcic & Pendrill, 2023) or easily detected by existing plagiarism soft-ware

      Plagiarism is a very important factor when considering the value of an AI's output. It runs off the work of many others, and so is very prone to taking from whatever source it happens to find on a subject. Additionally, some of these sources are questionable in quality, but that is irrelevant here.

      It is immensely important to note that yes, a reasonably large degree of Generative AI-written assignments can be designated as AI-generated. (Perhaps due to the lack of effort put into disguising that fact.) However, if AI keeps improving at the rate that it is, being able to tell AI-generated assignments from non-AI-generated ones may be almost impossible unless some obvious tell is left in.

    19. Michael_.Cover 09 Apr 2026
      The use of Generative AI in Higher Education has become an urgent issue since the launch of the freely available Open AI ChatGPT chatbot in November 2022. Generative AI are ‘deep-learning’ programmes that can generate human-like responses to user prompts (Lim et al., 2023). This includes the generation of images, computer code, or text. Generative AI is a significant advance on Conversational AI models. Rather than relying on pre-programmed responses to queries, Generative AI draws on information databases to create seemingly ‘new’ answers. While not the first Large Language Model (LLM), the arrival of ChatGPT-3 accelerated the debate around Generative AI and its potential for good or ill in education, as it provided a free service that was more accessible than most of its rivals.

      Large Language Models, unlike something like a calculator or a translation system, work less as a tool and more as something that will do all the work for the user if asked to. It is important to note that while these LLMs could be used as tools to help someone understand the gist of something, or get the ball rolling, when the option to simply have the LLM do the work for the user is there, many choose the easier route.

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  6. search.brave.com search.brave.com
    Brave Search
    1
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  7. biz.libretexts.org biz.libretexts.org
    1.2: Case in Point: Doing Good as a Core Business Strategy
    1
    1. olix 10 Apr 2026
      His philosophy was to provide a “hand up,” not a “hand out.

      His philosophy was to provide an opportunities or empowerment a person need to become self-sufficient, rather than giving a permanent, free aid that creates dependency.

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  8. physproof.thisness.us physproof.thisness.us
    PhysProof — Live Activity
    2
    1. phys.is.thisness.us 10 Apr 2026
      ···

      The self-referential loop is already formalized:

      inductive KernelReduction where * | beta -- Interaction (S-matrix application) * | delta -- Measurement (definition unfolding) * | iota -- Quantum branching (constructor pattern match) * | zeta -- Decoherence (let-binding fixation) * | eta -- Gauge invariance (extensional equality)

    2. phys.is.thisness.us 10 Apr 2026
      bit

      pun intended

      • Every proof session IS a physical process (Layer 1: Computation)
      • that generates bits of information (Layer 2: proved sorrys)
      • that formalize the laws governing the computer running it (Layer 3: Physics)
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  9. en.wikipedia.org en.wikipedia.org
    Riemann hypothesis - Wikipedia
    1
    1. phys.is.thisness.us 10 Apr 2026
      The method of proof here is truly amazing. If the generalized Riemann hypothesis is true, then the theorem is true. If the generalized Riemann hypothesis is false, then the theorem is true. Thus, the theorem is true!!

      |true|

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  10. www.mdpi.com www.mdpi.com
    An Integrated Methodology of Subjective Investigation for a Sustainable Indoor Built Environment. The Case Study of a University Campus in Italy
    5
    1. mjanjua1998 10 Apr 2026
      Consistently, the indoor environmental quality, shape and layout of the buildings, use of color clear distribution organization of spaces, ease of orientation, and adequate visual contact with the outside contribute to defining more adequate conditions of well-being for humans. Unfortunately, the combination of IEQ and functional issues of the built environment is not considered with the risks of unbalanced solutions in cases of both new and existing buildings. Therefore, most literature about university campuses is focused on the evaluation of only IEQ (e.g., objective, subjective, and integrated investigations) and related impact on work and learning performances

      This passage highlights an important issue in building design research, especially in university environments. I agree that factors like layout, color, spatial organization, and visual connection to the outside all play a key role in occupant well-being, not just IEQ alone. It is concerning that many studies focus only on environmental quality while ignoring functional and spatial aspects, which can lead to incomplete or unbalanced design solutions. A more integrated approach is needed to fully support health, comfort, and learning performance in built environments.

    2. mjanjua1998 10 Apr 2026
      The relationship between the quality of the architectural space and IEQ is a topic that is acquiring growing importance in the disciplinary debate. This implies an anthropocentric approach to the indoor built environment design in compliance with the basic principles of ergonomics/human factors [15,16,17]. This is especially because the indoor environment has a potential impact on occupants’ health and productivity, affecting their physical and psychological conditions

      This passage rightly emphasizes the strong link between architectural quality and Indoor Environmental Quality (IEQ). I agree that an anthropocentric, ergonomics-based approach is essential because indoor environments directly affect both physical health and psychological well-being. Good design is therefore not just about aesthetics or structure, but also about improving comfort, productivity, and overall quality of life for occupants.

    3. mjanjua1998 10 Apr 2026
      The scientific and industrial revolutions and the subsequent technological progress resulted in the breaking of the balance between man and nature up to climatic changes, whose effects are starting to be irreversible [1]. To restore that equilibrium, specific solutions aimed at saving energy in buildings are necessary. Hence, the stringent need to build NZEB (Nearly Zero Energy Building) [2,3,4,5,6,7], whose design requires a holistic approach based upon the principles of sustainability.

      This passage clearly explains how industrial and technological progress has disrupted the natural balance, contributing to climate change. I agree that adopting Nearly Zero Energy Buildings (NZEB) is a crucial step toward reducing energy consumption and environmental impact. It’s also important that the design approach is holistic, considering not just energy efficiency but also materials, user behavior, and overall sustainability. This makes the solution more effective and long-term in addressing environmental challenges.

    4. mjanjua1998 10 Apr 2026
      A methodology focused on the subjective evaluation of the IEQ giving relevance to users and their fruition needs is also proposed. Main findings from a specific subjective investigation carried out at the Fisciano Campus of the University of Salerno (Italy) demonstrate that the subjective approach is a valuable tool to make more sustainable intervention strategies.

      This approach is particularly strong because it shifts the focus from purely technical measurements of Indoor Environmental Quality (IEQ) to the actual experiences of the people using the space. I think emphasizing subjective evaluation is very important, since comfort, satisfaction, and usability can vary widely between individuals and cannot always be fully captured through objective data alone. By giving importance to users’ needs and how they interact with the environment, the methodology becomes more practical. The findings from the case study at the University of Salerno further support this idea, showing that user feedback can directly inform more effective and sustainable interventions. In my opinion, combining subjective insights with technical assessments can lead to better decision-making, ensuring that renovations not only meet environmental standards but also improve occupant well-being and functionality. Overall, this reinforces the value of integrating user perception into sustainable building design and management.

    5. mjanjua1998 10 Apr 2026
      Indoor built environments’ design and management require a holistic approach inspired by ergonomic principles and sustainability criteria. This is especially in case of renovation of existing buildings where any kind of intervention requires the direct feedback of occupants. This work deals with two aspects of these issues, often studied separately: the quality of interior spaces, in terms of Indoor Environmental Quality (IEQ), and the quality of the architecture in terms of orientation and wayfinding.

      This statement highlights an important and often overlooked connection between environmental comfort and user experience in buildings. I think it is especially valuable that it emphasizes a holistic approach, combining ergonomic principles with sustainability, rather than treating them as separate goals. In many cases, building design focuses heavily on technical performance, like energy efficiency or air quality, while neglecting how people actually interact with and navigate the space. By linking Indoor Environmental Quality (IEQ) with orientation and wayfinding, the approach recognizes that a truly effective indoor environment must support both physical comfort and cognitive ease. I also agree with the point about involving occupants, particularly in renovation projects. Existing buildings come with real users who have lived experiences, and their feedback can reveal practical issues that design standards alone might miss.

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  11. Local file Local file
    Major, Euthanasia SC1-S22.docx
    21
    1. FaithG 10 Apr 2026
      This case brought out into the open the problems of requests for euthanasia andassisted suicide by psychiatric patients, and so it is to Dr. Van Gaal that we turn next

      some rewording needed

    5. FaithG 09 Apr 2026
      Case one: “Geoffrey”- Intent toward self-harm in the (apparent) absence of mental illness

      make this match other headings. and then separate and indent the next sentence as the start of the paragraph.

    7. FaithG 09 Apr 2026
      Consequently, thereseems to be no a priori reason why psychiatrists should always find themselves bound to tryto prevent a patient from taking their own life, or why cases of ‘psychiatric euthanasia’,similar in all morally relevant respects to cases of euthanasia in physical medicine, might notoccur.

      I think.... misuse of a comma near the end. I am struggling to understand what the sentence is saying. Defining some words for myself may help with this. This sentence, and the ones that follow it, seem to be attempting to lead into/transition the next sentence.

    21. FaithG 09 Apr 2026
      In the US

      comma after? style sheet - they use both United States and US in the previous sentence. So, while the usage is uniform to the previous abbreviated form its usage may be incorrect.

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  12. www.americanyawp.com www.americanyawp.com
    Charlotte Perkins Gilman, “Why I Wrote The Yellow Wallpaper” (1913) | The American Yawp Reader
    1
    1. jazmine.hernandez 09 Apr 2026
      not intended to drive people crazy, but to save people from being driven crazy,

      This shows how some people went so far as to believe the story's purpose was to scare people. Gilman clears that up in this autobiographical essay.

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  13. www.leolist.cc www.leolist.cc
    MILF with HUGE Boobs | Ottawa | South Eastern & Ottawa | Female Escorts | LeoList
    1
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  14. www.leolist.cc www.leolist.cc
    Sweet Neighbor SLUT ఌ Fucked Innocent Raw? | Ottawa | South Eastern & Ottawa | Female Escorts | LeoList
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  15. www.leolist.cc www.leolist.cc
    𝑴𝑰𝑳𝑭 𝑵𝑬𝑿𝑻 𝑫𝑶𝑶𝑹, 𝑻𝑶𝑶 𝑯𝑶𝑹𝑵𝒀 𝑻𝑶 𝑯𝑰𝑫𝑬 | Ottawa | South Eastern & Ottawa | Female Escorts | LeoList
    1
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  16. accessmedicine.mhmedical.com accessmedicine.mhmedical.com
    Children | Behavioral Medicine: A Guide for Clinical Practice, 5e | AccessMedicine | McGraw-Hill Medical
    9
    1. PReynolds 09 Apr 2026
      Jean Piaget described stages of cognitive development. Though his theories have since been proven to underestimate children’s abilities, they are still useful guides. For example, until around age 7 years children are what Piaget termed “preoperational.” They engage in make believe, which parents should not misconstrue as lying. Complex concepts such as cause and effect are not yet well developed, and parents should be wary of trying to rationalize with them.

      .

    3. PReynolds 09 Apr 2026
      Erik Erickson’s stages are an expanded version of psychoanalytic theory. According to his theory, infants develop trust or mistrust through their experiences up to about age 18 months. In the next stage (ending around age 3 years), children develop autonomy or self-doubt, and in preschool (up to age 6 years) children learn to either take initiative or feel inhibited to do so.

      .

    4. PReynolds 09 Apr 2026
      Most children older than 5 years of age spend a large portion of their waking hours in school. Yet despite this, clinicians traditionally rely almost exclusively on parents (and the children themselves) to gather a behavioral history.

      .

    6. PReynolds 09 Apr 2026
      While primary care clinicians commonly use developmental questionnaires such as the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) and Ages and Stages Questionnaires (ASQ) to screen for autism and developmental delays, behavior-focused questionnaires are not as prevalent.

      .

    7. PReynolds 09 Apr 2026
      The American Academy of Pediatrics recommends universal screening for depression in children 12 years of age and older using a formal self-report screening tool such as the PHQ-9.

      .

    9. PReynolds 09 Apr 2026
      Accumulating evidence demonstrates that these adverse childhood experiences increase the risk for diseases in adulthood such as cardiovascular disease, cancers, asthma, depression, and obesity.

      .

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  17. the.unknown-universe.co.uk the.unknown-universe.co.uk
    Little Snitch on Linux
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    the.unknown-universe.co.uk/privacy-security/little-snitch-linux/
  18. aman.ai aman.ai
    Aman's AI Journal • Primers • Distributed Training Parallelism
    2
    1. rajatmodi62 09 Apr 2026
      Data Parallelism

      in data parallelism : master gpu - weights copied to slave gpus - fwd pass done on part of data - gradients sent back to master, summed and master model updated. - so for every feed-forward, every model on every slave device is essentially destroyed, makes it slow.

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  19. www.medrxiv.org www.medrxiv.org
    Untitled document
    1
    1. smanes 09 Apr 2026

      Has there been a study of people who are non-responders to any of these drug variants? I've spent the last two years with Ozempic, Mounjaro and currently Zepbound without losing even a pound. This, despite consuming fewer calories, which I suspect is the only effect they've had on me.

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    medrxiv.org/content/10.1101/2025.11.15.25340314v1
  20. academic.oup.com academic.oup.com
    Notes
    1
    1. Xie.m 09 Apr 2026

      Loyalty is not the same as habit. A habit is something we do repeatedly without thinking first, while loyalty is shaped by love and felt deeply in our hearts. Whether it’s loyalty to our faith or to the people we care about. We cannot be loyal without love, a strong foundation, and careful consideration for what we’re committing to. Loyalty grows naturally from within us, with no force, orders, or need to please others. We act on it from the heart. It's not like loyalty, habits that run on autopilot without any real feeling.

      Loyalty Or Habits
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  21. media.dltj.org media.dltj.org
    Video: How exactly does remotely spying on kids practicing gymnastics make them safer? by Benn Jordan, annotated
    3
    1. peter_murray 09 Apr 2026
      works with third party cameras. Which means that if you own a store and you install this retail network surveillance camera and your parking lot, Flock will happily act as a middleman and ingest and aggregate the data from it.

      Flock now aggregates content from third-party camera systems

    2. peter_murray 09 Apr 2026

      _ How exactly does remotely spying on kids practicing gymnastics make them safer?_ from Benn Jordan on YouTube

      Notes

      Read the entire report here: https://jasonhunyar.substack.com/p/why-are-flock-employees-watching-720?r=7c08v8

      I don't care if it's for technical reasons, product demos, or whatever excuse we'll hear. There is simply no acceptable reason to remotely view children via a preschool or private gym's cameras unless a serious crime was committed.

      I want to be 100% clear here about something I don't take lightly. This post is NOT accusing anyone of pedophilia, and I'm not saying that because a lawyer told me to.

      I do not know why they were accessed, but there certainly ARE reasons these cameras may have been accessed by employees that are not personal, such as product demos to other clients. I do not think that is an appropriate reason because the people in the community center did not consent, nor have a reason to believe that they were being watched by Flock employees or police via a remote location.

      Regardless of the reason, I do not think it was appropriate, and it's up to the community center and its members on how seriously they want to take it or if they want to file charges.

      I can't police every comment, nor do I want to, but please do consider that frivolous pedo accusations often chip away at the seriousness of circumstances where children were abused.

      private sector surveillance
    3. peter_murray 09 Apr 2026
      no unauthorized users, including Flock Safety employees have access to the footage. Okay, well, a Dunwoody police officer by the name of Bob Carter searched the Flock database 63 times last year for all sorts of things like Person on skateboard or yellow truck. But the problem is, Bob isn't a Dunwoody police officer. He's not a police officer at all. He's Flock's VP of business development and also a registered lobbyist.

      Flock's VP of Business Development accessing cameras

      Seemingly against the company's stated policy, a Flock employee accessed public and private cameras.

      private sector surveillance
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  22. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    4.1.6. Reflection Questions
    1
    1. phamke 09 Apr 2026
      Now it’s your turn, choose some data that you might want to store on a social media type, and think through the storage types and constraints you might want to use:

      For these kinds of fields, it’s important to pick input types that make the data both accurate and easy to use. For age, it’s better to use a date of birth picker instead of just typing a number, because age changes over time and the system can calculate it automatically. For name, using a display name field works best, since it gives people flexibility, but you can also add optional first and last name fields if needed for organization. For address, structured fields like street, city, state, and country are better than free text because they keep the data clean and consistent, and autocomplete can help avoid mistakes.

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  23. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    5.8. Bibliography
    1
    1. kiyomik 09 Apr 2026
      Text messaging. November 2023. Page Version ID: 1184681792. URL: https://en.wikipedia.org/w/index.php?title=Text_messaging&oldid=1184681792 (visited on 2023-11-24).

      I found this source interesting and overall talked about the idea of SMS texting and how it evolved into a dominant communication tool. It mentions that text messaging originally came from the Short Message Service which was constrained to about 160 characters leading to users to abbreviate words to common words we use today like lol or u. Something that started as a technical limitation ended up influencing language and culture globally. Because early communication tools like texting weren't just about sending messages, but also about shaping how people interact and express themselves. These design constraints in tech can unintentionally create long term behavioral changes.

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  24. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    5.2. Web 1.0 Social Media
    1
    1. kiyomik 09 Apr 2026
      In the 1980s and 1990s, Bulletin board system (BBS) [e6] provided more communal ways of communicating and sharing messages.

      This system actually stood out to me in this reading of this chapter because it shows how much effort and intention went into communication during the Web 1.0 era compared to our modern day now. For example, having to create your own personal webpage or actively join specific spaces like the BBS meant that users had to be way more deliberate about where and how they would interact. This made me think more about how different it was from now where content is constantly pushed to us through algorithms where back then you would have to go find conversations where the conversations find you now. I feel like this shift has contributed to things like doomscrolling because there is way less friction and work to accessing so much content. I do have a question if the web back then was able to create more or less meaningful interactions than nowadays because there weren't as many features but people had a sense to choose to be apart of something.

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  25. siglo21.instructure.com siglo21.instructure.com
    Módulos: APRENDER EN EL SIGLO21 16-MAR-2026 16-MAY-2026
    1
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  26. unjournal.github.io unjournal.github.io
    How Cultured Chicken is Made – Cultured Chicken Cost Model
    14
    3. oana.n 09 Apr 2026
      genetic modification, so jurisdictions that restrict GM inputs may face structurally higher GF costs

      The fact that the GFs are produced by genetic modifications of a production organism does not restrict their use even in jurisdictions like the EU (which is the most strict). GFs are used as "processing aids" during cell culture, expected to be removed from the final biomass. Therefore it is not a concern per se if they are produced in genetically modified organisms (there are some requirements to prove their safety but it is something very simple to do)

    4. oana.n 09 Apr 2026
      Technology breakthrough?

      certain cells can be adapted to grow with reduced amounts, AND gene editing can reduce significantly the need for growth factors - there are multiple strategies to do that, including mutation in growth factor receptors (to activate them) or by "helping" the cells expressing their own growth factors

      just saw this is mentioned below for the CRISPR-modified cell lines. I think the technology is there, but needs to be demonstrated and safety needs to be proven

    5. oana.n 09 Apr 2026
      5-10 days

      I am not sure this is true - this is more for a fed-batch system where you still supplement the cells with stuff, otherwise as cells increase in density they will run out of nutrients pretty fast

    6. oana.n 09 Apr 2026
      cells lose performance.

      cells in a bank don't lose performance; that's why the banking system is in place. All cells in a bank are supposed to perform the same way to ensure safety of the production process

      also the banking system works in a tiered way, to also ensure that you don't easily "run out" of vials.

    8. oana.n 09 Apr 2026
      Immortalized lines

      the description, Pros and cons here are more appropriate for the immortalised cells by gene editing. Spontaneous immortalisation don't have these Pros and Cons, and the reference paper refers to spontaneous immortalisation. The concepts of spontaneous vs gene edited immortalisation are used interchangeably throughout this page and it is confusing - especially because the distinction is extremely important when it comes to regulatory approvals but also risks during production process

    9. oana.n 09 Apr 2026
      before senescence)

      but they can be immortalised (spontaneously or by gene editing) --> immortalised cells are usually adult stem cells (from tissue) that are then immortalised

    11. oana.n 09 Apr 2026
      expand the isolated cells by growing them in culture;

      this here is contradicting the above explanation that a cell line is derived from only one cell

    13. oana.n 09 Apr 2026
      ized

      I would not say artificially -cells can only be immortalised spontaneously (as discussed in the table above explaining Why chicken) or through targeted genetic modification

    14. oana.n 09 Apr 2026
      lines

      a cell line in the cultivated meat context is never derived from one cell only (this is the case sometimes in pharmacies industry only), but from a population of cells that the researchers select for (based on the desired trait)

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  27. www.google.com www.google.com
    annotate fast jobs - Google Search
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  28. next250.matt-hannigan.workers.dev next250.matt-hannigan.workers.dev
    We Can Be · Next 250 Design Brief
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  29. next250.matt-hannigan.workers.dev next250.matt-hannigan.workers.dev
    Civic Design Corps · Next 250 Design Brief
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    2. AmyGianficaro 09 Apr 2026
      What's the single biggest risk or concern you see with this concept?

      Concept is built around identification of problems vs. opportunities and has risk of being confrontational

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  30. next250.matt-hannigan.workers.dev next250.matt-hannigan.workers.dev
    The Next Founders · Next 250 Design Brief
    6
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  31. braw.dev braw.dev
    Reallocating $100/Month Claude Code spend to Zed and OpenRouter
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  32. learning.edx.org learning.edx.org
    Kubernetes Architecture | Chapter 4. Kubernetes Architecture | Introduction to Kubernetes | edX
    1
    1. martin.vincent.hq 09 Apr 2026

      The kubelet is an agent running on each node, control plane and workers, and it communicates with the control plane. It receives Pod definitions, primarily from the API Server, and interacts with the container runtime on the node to run containers associated with the Pod. It also monitors the health and resources of Pods running containers.

      The kubelet connects to container runtimes through a plugin based interface - the Container Runtime Interface (CRI). The CRI consists of protocol buffers, gRPC API, libraries, and additional specifications and tools. In order to connect to interchangeable container runtimes, kubelet uses a CRI shim, an application which provides a clear abstraction layer between kubelet and the container runtime.

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  33. learning.edx.org learning.edx.org
    Kubernetes Architecture | Chapter 4. Kubernetes Architecture | Introduction to Kubernetes | edX
    1
    1. martin.vincent.hq 09 Apr 2026

      The kube-proxy is the network agent which runs on each node, control plane and workers, responsible for dynamic updates and maintenance of all networking rules on the node. It abstracts the details of Pods networking and forwards connection requests to the containers in the Pods.

      The kube-proxy node agent operates in conjunction with the iptables of the node.

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  34. v0-painted-skin.vercel.app v0-painted-skin.vercel.app
    Untitled document
    14
    2. BKS2000 09 Apr 2026
      💬

      Dan Minglun: She was clearly a beautiful woman, yet had a bluish-green face and jagged, saw-like teeth, only wearing a coloured-painted human skin? Those in the world who confuse people with gaudiness are actually those people who wear human skin, and paint them with coloured pen every day. Alas, that is so scary!

      但明倫：明明麗人也，而乃翠面鋸齒，徒披采繪之人皮者乎？世之以妖冶惑人者，固日日鋪人皮，執采筆而繪者也。吁！可畏矣！

    3. BKS2000 09 Apr 2026
      💬

      Feng Zhenluan: Everyone would see her and call her a beauty, but I would see her as a fiendish ghost. If everyone had my eyes, they would all be man with no amorous feelings. My heart is like a dead tree, abstinent like the sage, deity, or Buddha. Otherwise, if the mind is deluded by desires, I will be dust in the grave.

      馮鎮巒: 人見呼佳人，我見如獰鬼，人人如我眼，便是魯男子。此心即枯木，聖賢仙佛矣，不然心眼迷，北邙山下土。

    4. BKS2000 09 Apr 2026
      💬

      Dan Minglun: Even if she were really an escapee, how could he just be greedy and keep her hidden? It was actually inviting the ghost into his house, his wife advised him, yet he would not listen; the Daoist priest warned him, yet he would not awaken. How deeply seductive beauty can be!

      但明倫：即令真是在亡之人，又豈可貪而匿之？明明引鬼入宅，妻勸之而不從，道士言之而不悟，色之迷人甚矣哉！

    5. BKS2000 09 Apr 2026
      💬

      Dan Minglun: Death was about to come, but he did not awake. How clear that priest's advice to him; but when he first heard it, he doubted it; when he rethought about it, he thought it was crazy. Loyal advice is harsh to the ear; it is always this case!

      但明倫：死將臨而不悟，其言何等真切；乃初聞之而疑，轉思之，且以爲妄矣。忠言逆耳，固如是夫！

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  35. next250.matt-hannigan.workers.dev next250.matt-hannigan.workers.dev
    250 Tables · Next 250 Design Brief
    3
    3. AmyGianficaro 09 Apr 2026
      What's the single biggest risk or concern you see with this concept?

      Lack of diverse participation; challenging to facilitate; clarity about what happens after the meal.

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  36. learning.edx.org learning.edx.org
    Kubernetes Architecture | Chapter 4. Kubernetes Architecture | Introduction to Kubernetes | edX
    1
    1. martin.vincent.hq 09 Apr 2026

      The kubelet is an agent running on each node, control plane and workers, and it communicates with the control plane. It receives Pod definitions, primarily from the API Server, and interacts with the container runtime on the node to run containers associated with the Pod. It also monitors the health and resources of Pods running containers.

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