1. Jul 2026
    1. complementary protocol called IPLD).

      Inter Planetary Linked Data!!!!!

      Linked Data without servers

      cut out the complexity of XML and go way beyond what RDF can do!

    1. [𝐅𝐏𝐓] - CẬP NHẬT SỐ LIỆU BÁO CÁO KINH DOANH Q2.2026Trong quý 2/2026, FPT ghi nhận doanh thu đạt 13,789 tỷ đồng và lợi nhuận trước thuế đạt 2,910 tỷ đồng, giảm lần lượt -14.1% và -3.8% so với cùng kỳ năm trước. Sự sụt giảm này chủ yếu do tập đoàn không còn ghi nhận doanh thu từ khối viễn thông.Tuy nhiên, khối Công nghệ vẫn khẳng định vai trò trụ cột khi đóng góp tới 89% doanh thu và 60% lợi nhuận trước thuế của Tập đoàn, tương đương 12,296 tỷ đồng và 1,748 tỷ đồng, tăng trưởng lần lượt là +25.9% và +23.4%.Mảng Dịch vụ CNTT nước ngoài đạt 9,867 tỷ đồng (+20.5% svck), trong đó thị trường EU và Nhật Bản tăng trưởng ấn tượng +72.4% và +35.2% svck. Doanh thu ký mới trong kỳ đạt 12,503 tỷ đồng, tăng 8.7%.Về cơ cấu khách hàng lớn, nhóm khách hàng đóng góp doanh thu trên 500 ngàn USD ghi nhận mức tăng trưởng +46.6%, đạt 195 tỷ đồng; trong khi nhóm khách hàng trên 1 triệu USD chỉ đóng góp khoảng 3 tỷ đồng, giảm mạnh -95.7% so với cùng kỳ năm ngoái.---#investnchill #FPT #thuviendautu #dautugiatri #congnghe #chungkhoan

      .

    1. Crucially, the goals of transformative populism according to Sanders’ framing can only be achieved by increasing popular, democratic participation—contra centrist or technocratic Democratic Party politics, which may regard the people as obstructing the smooth operation of government. This transformative political program claims a necessary link between mass participation and transformation and insists that the latter cannot exist without the former.

      This is the kind of populism that has been working for both the left and right. People understand that they can make a difference that can alter the state of the "ruling" class and benefit society as a whole.

    1. • Những tiệm ramen đỉnh nhất Sài Gòn (phần 1)#saigondining_collection#saigondining_monNhat Tori Soba Mutahiro Signature ở đây là ramen gà và ramen cua, mỗi món đều hấp dẫn theo một kiểu rất riêng. Tốt nhất là nên ăn hết cả 2.* 8A/G8B Thái Văn Lung, quận 1 Ittou RamenCọng mì lạnh to tròn trong món tsukemen ở Ittou gần như không giống bất kỳ tiệm ramen nào ở Sài Gòn. Kiểu mì lạnh ăn khô này phải chờ hơn 10 phút nên hãy cân nhắc kỹ trước khi gọi (với mình thì nó xứng đáng để chờ đợi).* 8/8 Lê Thánh Tôn, quận 1 Choi Oi NoddleĐúng như tên gọi của nó, "Cappuccino ramen" ở Choi Oi có phần nước súp tonkotsu thơm béo nhìn thoáng qua thật "creamy" như 1 tách cappuccino vậy, ăn cùng tôm và thịt chashu khò lửa rất hấp dẫn.* 15B/25 Lê Thánh Tôn, quận 1 TomidayaMón mì khô tsukemen với nước súp tokusei shoyu (nước tương) khá ngon, phần thịt chashu nhiều mỡ mang lại vị béo đặc trưng cho tô mì ramen của Tomidaya. Một trong những tiệm mì ngon nhất khu Phạm Viết Chánh.* 68 Phạm Viết Chánh, Bình Thạnh DanboCọng mì ở đây nhỏ và không quá lạnh, lại không kèm thịt xíu miếng to mà chỉ là ba chỉ xắt nhỏ để chung trong chén nước súp. Hoàn toàn không giống cách ăn tsukemen mà mình từng thử qua ở nhiều tiệm ramen trước đó. Nhưng vị thì hấp dẫn, vừa miệng chứ không bị mặn.* 8A/7B1 Thái Văn Lung, quận 1(còn tiếp)

      .

    1. Understanding the dynamic anddemanding process of language acquisition expandsour awareness of the human condition: the need toexpress and to be understood

      The article does conclude with the understanding that language learning can help school create environments where all students feel understood, accepted, and understood

    2. . Schools need a shared philosophyand approach in accommodating these stude

      Schools also should try to work together to support multilingual students through consistent, inclusive teaching practices

    3. Language diversityis a wonderful opportunity for intellectual andsocial growth.

      The authors does view as multilingualism as an educational advantage rather than a problem

    4. . English, in fact, hasadopted numerous words from other languages

      English itself has developed by borrowing from many languages, showing that language diversity strengthens communication

    5. When speakers of multiple languages inter-act, the result is an increase in vocabulary and agrowth in worldviews.

      Language diversity can benefit everyone by expanding vocabulary, knowledge, and cultural understading

    6. . Acculturation asserts that people mayadopt practices, beliefs, and traditions of two ormore cultures. T

      Students do not have to abandon their home culture to succeed in schools. They can also embrace multiple cultural identities

    7. they may also feel they mustchoose between assimilation tothe mainstream American cul-ture or segregation into theirnative groups

      Multilingual students may also struggle to balance fitting into school while maintaining their cultural identity

    8. When we openly value translating ability,students gain a sense of pride and accomplishment

      Recognizing multilingual students language skills can help build confidence and creates a more inclusive classroom

    9. These highly complex skills are often unrecognizedby the translators themselves and the general pub-lic.

      Many people to underestimate the knowledge and abilities required to be bilingual or multilingual

    10. When educators understand the art of translation,we sharpen our knowledge of complex cognitiveskills that are often undervalued or ignored

      Translation does require advanced thinking skills that schools should recognize as strengths rather than just overlook

    11. ." Part of our task, then, is toaffirm students' self-worth and sense of belonging

      The teachers should help multilingual students feel more accepted and valued while learning English

    12. ar. 2). Thepolitical push of the English Only movementthreatens to affect public policy and our educa-tional climate. The subtext of this movement's ide-ology, however spun, sends a clear message to ELLstudents: your native tongue is not welcom

      The author does argue that english-only policies can make multilingual students feel excluded and devalue their home languages

    1. One key approachis to promote transparency and accountability in thedevelopment and use of AI systems.

      Outlines one approach to solve the bioethical issues.

    2. In light of these challenges, it is important to continue toengage in ongoing dialogue and collaboration betweenstakeholders

      Outlines importance of including all stakeholders regarding decisions with AI usage.

    3. BIOETHICAL ISSUES IN USING ARTIFICIALINTELLIGENCE FOR WRITING RESEARCHPROPOSALS

      Outline a handful of key issues surrounding the bioethics of AI use in writing research papers.

    4. This paper aims to explore the potential ethical implicationsof using AI in research proposal writing for academic andclinical trials and to propose guidelines for the responsibleand ethical use of AI in this context.

      Paraphrase this

    5. Artificial intelligence (AI) has great potential to assist researchers in writing research proposals, by generatinghypotheses, identifying literature, and suggesting methods for data collection and analysis. However, theuse of AI in research proposal writing raises important bioethical implications, including the unintentionalpropagation of bias and questions about the role of human expertise and judgment in the research process.This paper explores the ethical implications of using AI in research proposal writing and proposes guidelinesfor the responsible and ethical use of AI in this context. The paper will review the potential benefits andchallenges associated with using AI in research proposal writing, discuss the role of human expertise andjudgment, and propose guidelines for promoting transparency and accountability in developing and usingAI systems. Ultimately, addressing the bioethical issues related to AI in research proposal writing will requireongoing dialogue and collaboration between stakeholders, as well as a commitment to transparency,accountability, and ethical principles.

      Paper brings up bioethical concerns related to AI use in research papers.

    1. The transition to AI‐integrated research is a crucial and inevitable step forward, one that demands our collective support, training, and enthusiasm to ensure its success.

      It is impossible to avoid ai because it is inevitable which is why shaping how AI rises and evolves is crucial.

    2. Additionally, the reproducibility of AI‐assisted research and writing presents another concern when using AI for academic purposes. For example, when using AI to search or review existing scientific literature, even slight differences in search prompts or variations between AI models can result in markedly inconsistent outputs.

      Brings to surface of the importance of AI prompting and prompt engineering. Especially for people who don't know how to prompt correctly. This can lead to inaccurate and inconsistent results.

    3. Similarly, biases inherent in the training data or algorithms, such as the overrepresentation or underrepresentation of certain perspectives, can lead to skewed or biased outputs. This problem is compounded by the lack of transparency related to potentially outdated training data, which may limit the ability of an AI tool to address current events accurately.

      Additional flaws in AI based on the training data or algorithms which causes bias. Outdated training data also leads to providing inaccurate information of current events.

    4. Despite encouraging the adoption of AI tools in research and academic writing, it is vital to emphasize the responsibility of authors to critically assess the outputs of these tools to ensure that academic quality standards and factual consistency are maintained. For instance, the presence of "hallucinations" where large language models present fabricated information as if it were factual poses a significant challenge when employing generative AI for academic writing [[ 6 ]].

      Points out the author's responsibility for assessing AI's work to ensure there is no misinformation that will be misleading to readers/researchers.

    5. One of the most promising advantages of generative AI is the ability of such tools to streamline time‐consuming tasks, such as literature search creation, literature search result screening for inclusion criteria, quality assessment of collected literature, data extraction, manuscript editing, manuscript formatting, and citation generation [[ 5 ]].

      Lists the many advantages of generative AI, specifically the tasks that would take significantly longer to complete.

    6. However, with the exponentially increasing amount of scientific information available, using AI to facilitate contextually relevant searching may address challenges such as information overload, difficulty in filtering results, and the inability to assess the relevancy of studies effectively [[ 4 ]].

      Raises the issue at hand and explains how AI counteracts previous issues due to the rapid changes and increase in information.

    7. The time has come for authors to harness the power of AI in academic writing and research dissemination as well.

      Main point of telling authors to "harness the power of AI" in their writing/research. Later in the paragraph gives many examples of how AI will be used.

    8. AI‐powered technologies such as machine learning and natural language processing are enabling researchers and clinicians to uncover insights that were previously unattainable

      Here tells what AI is helping achieve in the research and health field.

    1. First is to keep a gratitude journal, as I’ve had people do in my experiments. This can mean listing just five things for which you’re grateful every week. This practice works, I think, because it consciously, intentionally focuses our attention on developing more grateful thinking and on eliminating ungrateful thoughts. It helps guard against taking things for granted; instead, we see gifts in life as new and exciting.

      A gratitude journal guards against taking things for granted

    2. With gratitude comes the realization that we get more than we deserve.

      “Gratitude contradicts the ‘just-world’ hypothesis”

      Events crash on us in a chaotic cadence. Gratitude recognizes the broad range of benefits that surround us.

    3. Gratitude also goes against our need to feel in control of our environment. Sometimes with gratitude you just have to accept life as it is and be grateful for what you have.

      Gratitude challenges an emphasis of needing to be in control

    4. Gratitude really goes against the self-serving bias because when we’re grateful, we give credit to other people for our success. We accomplished some of it ourselves, yes, but we widen our range of attribution

      Gratitude challenges a self-servicing bias

      Yes, we accomplished something, and expressing gratitude expands the “range of attribution” for the causes of that accomplishment.

    5. why might gratitude have these transformative effects on people’s lives?

      “What good is gratitude?”

      1. Gratitude allows us to celebrate the present.
      2. Gratitude blocks toxic, negative emotions.
      3. Grateful people are more stress resistant.
      4. Grateful people have a higher sense of self-worth.
    6. Indeed, this cuts to very heart of my definition of gratitude, which has two components. First, it’s an affirmation of goodness. We affirm that there are good things in the world, gifts and benefits we’ve received. This doesn’t mean that life is perfect; it doesn’t ignore complaints, burdens, and hassles. But when we look at life as a whole, gratitude encourages us to identify some amount of goodness in our life. The second part of gratitude is figuring out where that goodness comes from. We recognize the sources of this goodness as being outside of ourselves. It didn’t stem from anything we necessarily did ourselves in which we might take pride. We can appreciate positive traits in ourselves, but I think true gratitude involves a humble dependence on others: We acknowledge that other people—or even higher powers, if you’re of a spiritual mindset—gave us many gifts, big and small, to help us achieve the goodness in our lives.

      Two part definition: Affirmation of Goodness and identifying the source of goodness

    1. But I hope the friends of humanity will not withhold their aid on the account of money.

      Everyday people fought against slavery by donating their own money to rescue others.

    2. by this Road we gained five hours’ time, which is a matter of much importance

      Slave catchers were constantly chasing them. Saving just a few hours was the difference between freedom and being captured again.

    3. She left her dear little children behind (two children). She is stopping in our city, and wants to hear from her children very much indeed. She wishes to know if you have heard from Mr. Biglow, of Washington City. She will remain here until she can hear from you. She feels very anxious about her children

      Escaping meant making painful choices, like leaving kids behind. This shows how personal and painful the crisis was for enslaved people.

    4. Their names are Charles and Patrick and are living with Mrs. Joseph G. Wray in Murphysborough, Hartford County, North Carolina; Emma lives with a Lawyer Baker in Gatesville, North Carolina and Susan lives in Portsmouth

      Slavery tore families apart across different states. This shows the conflict was about real family heartbreak and not just political arguments.

    1. With cautious implementation and robustoversight, the role of AI in research can be transformative,but in the absence of such frameworks, it may jeopardizethe very foundation of evidence on which both evidence-based medicine and science as a whole rely.

      Good quote to paraphrase.

    2. Determiningwhether an idea is truly novel or merely a repetition canbe challenging

      AI is not good at presenting novel ideas. Is not good at cross checking whether or not an idea is novel.

    3. Growing evidence suggests that chatbots may fabricatereferences—citations that appear to be legitimate butactually point to articles and journals that do not exist.In one study, when ChatGPT-3.5 was asked to generatescientific content with references, more than 55% of thesources it provided were entirely fabricated. Althoughnewer models like GPT-4 have shown improvedperformance, they still produce fictitious references inapproximately 18% of cases.

      Older models fabricate 55% of citations, newer ones are still at 18%,

    4. Artificial intelligence (AI) is rapidly integrating intoresearch landscape, promising to revolutionize the waystudies are conducted. From accelerating literaturereviews to analyzing complex datasets, AI has thepotential to significantly enhance the efficiency of coreresearch activities. AI tools have been quickly embracedby researchers across various disciplines. Just a fewmonths after the introduction of some of these tools,they were even credited as co-authors in several scientificarticles and preprints.However, these powerful tools also introduce newchallenges to research integrity. The dual nature ofAI—its potential to either strengthen or undermine thequality of evidence—is becoming increasingly recognized.Enthusiasm for AI’s capabilities must be tempered withcaution as uninformed or improper application mayerode the foundation of evidence upon which clinicalpractice relies. Although AI offers substantial benefitsin generating and synthesizing evidence, it can equallycompromise research quality if researchers are notadequately informed about when, how, and where its useis appropriate.

      Briefly discusses the pros and cons of AI use in writing research papers.

    1. Perlita is a cashier at a bakery in Ozamiz City, Misamis Occidental. This memo is on the staff board:

      Would it be possible if we insert a sentence just to provide context and ensure coherence?

      Suggestion: Perlita is a cashier at a bakery Perlita is a cashier at a bakery in Ozamiz City, Misamis Occidental. She a written message from the management. This memo is on the staff board:

    1. She found that students produced more elaborate writing in both English and Spanish when they were allowed to draw on patterns of language and discourse used in their everyday language practices

      students do better when they can use their language and English, not just one

    2. Similarly, Martínez (in press) identified parallels between the specific skills embedded in middle school students’ use of Spanglish and the skills that these students were expected to master according to California’s sixth-grade English language arts standards.

      this is just unfair to the students. It's almost impossible

    3. The review that follows highlights recent studies that emerged in our search of the Educational Resources Information Center (ERIC) and Social Sciences Index databases from 2000 to 2009 using key word descriptors that included language diversity, Latina/o students, Spanish-speaking students, literacy, and language arts

      gives idea of what is going to be seen

    4. Across three subgroups that received varying amounts of exposure to and instruction in AAVE, the researchers concluded that all teachers improved their knowledge about and positive attitude toward AAVE.

      teachers were able to LEARN that differences and AAVE isn't a bad thing, they just needed training

    5. authors further suggested creating culturally reflective assignments such as tribute speeches that allow students opportunities to further develop proficiency in code switching while affirming their cultural identities

      it can help with the students language and standard English

    6. Standardized assessments provide a limited account of AAVE-speaking youth’s knowledge and abilities; alternative and more multifaceted assessments should be explored

      the way school and standard makes it harder for AAVE students and other dialects to pass tests

    7. Ball found that African American teachers, more so than European American teachers, emphasized the content and quality of students’ ideas and balanced these with writing conventions and forms

      those that are more similar to the students are more forward to helping the student as much as possible

    1. flooding the zone

      This reminds me of the "Dead Internet Theory" that is slowly becoming reality. If academia also becomes rampant with AI generated content and student submissions are also AI generated then who is the institution meant for? Would it reveal the underlying notions that universities carry with them, like the degree simply being a mask for privilege, their role in maintaining power structures, and reinforcing colonial ways of knowing?

    2. opposite of truth-seeking,

      The fact that these LLMs rely largely on Reddit to retrieve information about human experiences with products and are optimized to appease the user so they may continue to use the AI model over retrieving factual data from the internet goes to show that these tools were never meant to aid its users to seek knowledge. In an ideal future such advanced technology would have been used to break barriers between people, make connections in ways that would advance collective human knowledge, or at the very least create thoughtful content. But every effort is being made to find a way to monetize usage, influence spending habits, and fill online spaces with meaningless slop.

    3. The "idea of a university" has been contested throughout its history

      I do believe universities, especially faculties of education, need to reimagine the role of the university. To sit and wait, becoming victim to AI is not the solution. With funding cuts to universities, and a society-wide government imposed shift on the value of education we cannot afford to continue as is or delay action.

    4. LLMs exacerbate this threat.

      I do somewhat agree with this however I do think it requires study. If LLMs will further entrench universities in their human capital approach, what does this mean for the future of learning? Does this mean that LLMs are the problem? or the solution? or both?

    5. he augmented bureaucracy does not need to think

      Really? Is this ACTUALLY true? Has administration been boiled down to just throwing out emails? What about how administrators respond to union action? What about student disruptions? Surely that requires something more. Unless we are going to claim administrators just hide behind their computers which is a different issue altogether.

    6. When an academic challenges a new policy on pedagogical grounds, citing educational theory or empirical research, the augmented administrator can increasingly generate counter-arguments that mimic scholarly discourse.

      The author states this like the only tool academics have is the ability to write well. And that the only thing administrators can hold against them is the same, hence AI being apparently so invaluable to them. I would really challenge this, surely we recognize the role of academics not just in terms of their ability to write well, but to also lead and be able to imagine a better future for us all. Also, pitting academics and administrators against one another seems to be really simplistic. Makes me want to check if the writer had some negative experiences that they are just projecting here.

    7. This asymmetry created a certain space for resistance by scholars, however limited.

      I believe this is to be a reductionist analysis. I believe AI is able to regurgitate information, but can it go beyond that to analyze and triangulate the way an academic would? and even beyond so, academics have mobilized themselves, created networks and unions to have their voices heard. This example goes back to my earlier point, I feel like sometimes we are rushing as a human race to serve ourselves to AI on a silver plate.

    8. institutional authority

      I would argue that its also a contestation between institutional autonomy. Different university governance mechanisms, and more rightly funding structures, have profound impact on the autonomy of the institution. If we are to claim universities to be truth seeking institutions, then that area also needs to be addressed.

    9. Where previously the university administrator required academics to translate complex ideas into manageable metrics and reports, the LLM mediates this relationship differently (Burrows 2012).

      But aren't many administrators former academics? They don't solely rely on academics to "translate" complex ideas, and this process of "translation" seems more like clarification than translation.

    10. This might also represent a profound shift in university power

      I understand the tension between managerialism and academic autonomy, but I still don't understand why administrators and academics should be enemies. I think there might be other solutions, such as creating checks and balances so that no single group holds too much power.

    11. are adequate or competent but rarely excellent (Berry 2025). F

      It's true that AI produces average content, and which might be true. But the real concern is that people might stop at that point instead of pushing beyond it and coming up with more original and excellent ideas.

    12. learning factories

      I wonder is this idea a pure bad thins, whether universities have always had multiple purposes. in addition to knowledge creation, haven't they also been responsible for preparing students for professional qualifications?

    13. This dark computational turn represents a direct threat to the very idea of a university

      Til here, I start to understand Berry's main concern. It more about how AI could reinforce an existing managerial logic, and then reshape the purpose of the university from knowledge creation to efficiency and qualification delivery.

    14. Get link Facebook X Pinterest Email Other Apps { "@context": "http://schema.org", "@type": "BlogPosting", "mainEntityOfPage": { "@type": "WebPage", "@id": "http://stunlaw.blogspot.com/2025/10/the-coming-threat-of-algorithmic-idea.html" }, "headline": "Scholarslop: The Dangers of an Algorithmic Idea of the University","description": "David M. Berry The university has long been understood as a site of contestation between different modes of knowledge production and institu...","datePublished": "2025-10-06T10:15:00-07:00", "dateModified": "2026-03-22T02:33:28-07:00","image": { "@type": "ImageObject","url": "https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjR7h7nxWnrUnZKYGYox1YJvwNgyQB72ayUMKtFLg54W8oKLN6guamIexC79NCctY1uTc3GT0faqInokLmu2gz59VFnyn-4kYurGD4y0f9EhomTDMl9pZcYgcy-abh5P_oIoHB_Y24iEacyJHLbNb1IZVMIeCLlXOgVfCYEJJIK8GFEvX-5AoQY/w1200-h630-p-k-no-nu/ChatGPT%20Image%20Oct%206,%202025%20at%2006_09_33%20PM.png", "height": 630, "width": 1200},"publisher": { "@type": "Organization", "name": "Blogger", "logo": { "@type": "ImageObject", "url": "https://blogger.googleusercontent.com/img/b/U2hvZWJveA/AVvXsEgfMvYAhAbdHksiBA24JKmb2Tav6K0GviwztID3Cq4VpV96HaJfy0viIu8z1SSw_G9n5FQHZWSRao61M3e58ImahqBtr7LiOUS6m_w59IvDYwjmMcbq3fKW4JSbacqkbxTo8B90dWp0Cese92xfLMPe_tg11g/h60/", "width": 206, "height": 60 } },"author": { "@type": "Person", "name": "BerryDM" } } October 06, 2025 Scholarslop: The Dangers of an Algorithmic Idea of the University David M. BerryThe university has long been understood as a site of contestation between different modes of knowledge production and institutional authority

      As continue to read this article, I'm a little confused about why the article seems to set university administrators and academics as two opposing sides. Is there really such an irreconcilable conflict between them?

    1. But that doesn't mean our students can't thrive in English as a second language," she added. "They definitely can."

      This challenges the idea that learning another language prevents students from succeeding. Students can still succeed while retaining their original culture and dialect

    2. Teachers in the district—where about 30% of students are multilingual learners—give early elementary schoolers systematic phonics instruction, a foundational piece of early reading lessons.

      This shows that English learners still need direct reading instruction.

    3. "By default, you're going to go with those sounds you know."

      Students naturally use the rules of their first language when learning English. Teachers need to understand how these students learn.

    4. "I think back to myself; I didn't have any guidance or learning or help to learn how to support English learners and how to use both languages as an asset," Addison said.

      Teachers often want to support English learners but lack proper training. Schools need to prepare teachers to use students’ languages as strengths

    5. English learners need intensive instruction in developing spoken English skills, the statement read, but they also need to be taught phonics and phonemic awareness,

      This shows that English learners need multiple types of support.

    6. Schools shouldn't treat English learners "as if they didn't bring any knowledge to the table," Cárdenas-Hagan said.

      English learners already have valuable knowledge from their first language. Teachers should build on students backgrounds instead of viewing them as lacking. This idea was also shown in the other article I annotated.

    7. It's not an either-or question; students need both, especially students who are struggling to learn to read.

      English learners need multiple types of support. Learning English involves both speaking skills and reading skills.

    8. Usually, our bilingual teachers don't have enough resources. You go to a training and it's, 'We have everything for English, but Spanish is coming.'"

      Many schools are not fully prepared to support multilingual students. Teachers need resources and training that include all languages not just English.

    9. "If the first language of instruction is Spanish, then we [only] want to teach what doesn't transfer."

      Teachers should use students’ existing language knowledge instead of reteaching things they already understand.

    1. And by a simply *amazing* coincidence, $9.5 billion–in real dollars—is almost identical to the increase in income  postsecondary institutions have seen in revenue from international students over the same period

      This is a bit of vindication in my opinion. There were two phases to the rollout of the cap on international students; the first had an 18-month lead time, where Mohawk College was prepared to absorb the time of the cap (supposedly two years). It immediately fell apart when the Provinicial Government reduced the Ontario cap by a further 10% without warning; that is what tipped most Colleges over into the mass layoffs we continue to see today. This move was what made me think about the intentionality behind burning PSE to the ground: and why that would be.

    2. eating the future.

      I like this analogy of looking at how the current ruling entities governments or otherwise are operating in an attitude of what we have now is all that maters. When forests are stripped for their lumber and the eco diversity trampled, and companies hire planters that plant the same type of tree to cover the claim they are repopulating the forests but it would take decades for the biodiversity to return to what it was. Its also so applicable to education, healthcare, public services as a whole if the recent cuts are considered.

    3. No government provides any evidence of contrarian thinking.

      This line is particular highlights how much of a "kangaroo court" style government that we all exist under. How is there so many issues that go about uncontested? Aren't governmental parties suppose to represent the concerns that people have, if one doesn't shouldn't the other? The fact that the drop in support exists for all governments reveals that the publics access to higher education is a threat to the funders who hold the real control within governments. Canada isn't a two party system but this idea has been engraved within out psyche through years of dichotomous thinking.

    1. We still live in a world of just remarkable asymmetry of scrutiny. So when it comes to the minimum wage, there have been literally hundreds of studies to determine whether those increases have created job loss. But the $50 billion a year in Wall Street bonuses—no one has ever studied the job loss created by that. And I can tell you, you can do a pretty simple economic analysis. If you run $50 billion a year through the normal economy, that's in the range of half a million jobs. That's as many jobs as there are in some of our states. It's a lot. But no one has ever done a study on that because we live in a world where anything good that happens to rich people is an unalloyed good, and anything good that happens to ordinary working people requires us to affirmatively prove that it will do no harm, which is completely insane when you think about it. It's like literally upside down, but that is the world that we live in today, and that is why everyone is struggling.

      Excellent line

    1. Perusall Annotation Instructions for Students

      What do you think about moving the Perusall and Google Doc annotation instructions up to the "alternative format" section above? Or to the top of this section? I think of those as ways to assign the reading rather than as separate reading reflections... so I would put them before the other reflection assignments which introduce new content/questions/ activities

    1. The suggested sequence is:

      How about adding a note to the end of each of these about when to assign it. It seems like they will find it useful here in context of the sequence rather than in a separate section on Teaching Suggestions.

    2. if you need ideas to

      I would say let's start by recommending that they ask students to engage actively with the readings in some way.

      Then, offer three main paths: In-class discussion Discussion boards (text, audio or video) Social annotation (Google Docs, Perusall or other platform)

    3. Assign the readings as they become relevant during your course rather than all at once. If you want more tips on how to teach these readings, please check out Building AI Literacy in the Classroom: PAIRR Instructor's Guide (2026-2027).Links to an external site.

      I like the how-to style here. I would suggest not linking out to the guide, which replicates some of what is in the assignments but just putting what is relevant from the guide into this Canvas page. Otherwise we've got some overlap and are trying to maintain both.

    4. You do not need to assign everything.

      I would suggest "Some readings are required and some are optional." Otherwise, when I read this first sentence, I though it was suggesting that nothing is required and faculty can choose.

    1. Canada, as well as the United States, Australia and New Zealand are quintessentialsettler-colonial societies, as the existence of such nation states is premised upon the erasure ofIndigenous peoples and complicity in the ongoing dispossession, oppression and appropriation ofIndigenous lands, peoples and ways of life.

      Many wouldn't recognize this, but countries like Jamaica also have deeply settler-colonial societies, even while the majority of the population is black. The majority unconsciously yield to the cultural hegemony that Gramsci spoke of (Zuckerman, 2025), willing to do pretty much anything to become the minority. Colonialism is a deep psyop.

    2. Whiteness plays into how teacher identity itself isformulated; t

      True. Attempts at assimilation continue. I wish that I could express how demoralizing it is to ask someone to strip away who they are to "put on" the identity of another, knowing that, even when you do so, "proximity will never equal acceptance". Would white people allow this to be done to them? Isn't this what they are fighting tooth and nail to prevent from happening to them, while they do it to others without a second thought? Why are white people so afraid to share space with others?

    1. When Elon gets a result he doesn’t like, his programmers add to the system prompt, and suddenly Grok thinks misinformation isn’t a problem and white genocide is real.

      This is a blatant, narcissistic skewing of the LLMs ability to infer knowledge. It is the narcissists who will have their version of utopia in the days ahead; the rest of humanity will call it dystopia I'm afraid.

    2. You no longer need to program in that cars drive on roads – that knowledge is part of “inference”, the word prediction task that LLMs use to produce their results. Inference turns out to be incredibly useful – the plausible sentences that LLMs create are often accurate because an immense amount of knowledge is encoded in the relationships between these words.

      Reading this phrase gave me the chills. It makes me wonder what inferences are being drawn about humanity, based on the immense amount of "knowledge" that we are currently feeding LLMs?

    3. i.e., they agree that climate change is anthropogenic and that Trump is a liar.

      This example really connects with my previous question. If different LLMs are reaching such similar conclusions, I wonder whether true neutrality is even possible, or whether every model inevitably reflects the perspectives of the data it was trained on.

    4. Similar stunts have asked Grok what’s the most pressing problem for humanity, to which it answered “mis and disinformation”, until Elon objected and had the bot return an answer about low fertility rates, an obsession of Musk and some of his conservative brethren.

      I really like these examples. They make me wonder whether it's actually possible for an LLM to remain neutral, especially when different groups have such different values and priorities.

    5. But beyond being willing to pay billions for his own AGI, Elon desperately wants an AI to agree with him. This has led to some fun headlines. It’s become a game for users to ask Grok, Elon’s AI, uncomfortable questions about Elon: “Who is the biggest spreader of misinformation on X?”, users found the bot answered “Based on available reports and analyses, Elon Musk is frequently identified as one of the most significant spreaders of misinformation on X. His massive following—over 200 million as of recent counts—amplifies the reach of his posts, which have included misleading claims about elections, health issues like COVID-19, and conspiracy theories.”

      i really like this. This example makes a strong point. It also makes me wonder how much control developers actually have over an AI once it's trained.

  2. www.planalto.gov.br www.planalto.gov.br
    1. Art. 2°

      O Julgado do STJ (Informativo 883) Tribunal: Superior Tribunal de Justiça – 4ª Turma Relatora: Min. Maria Isabel Gallotti Data do Julgamento: 17 de março de 2026 Assunto: Procedimento de averiguação oficiosa de paternidade (Art. 2º da Lei nº 8.560/1992). Tese firmada: O procedimento de averiguação oficiosa de paternidade tem natureza administrativa e não autoriza o juiz a intimar a genitora que se recusou expressamente, no ato do registro, a indicar o suposto pai. O juiz pode determinar o arquivamento do feito sem necessidade de intimação judicial da mãe