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Category: AI & Scholarship

The Real Crisis in Academia Is Not That AI Can Write Papers, but That We Only Know How to Recognize Titles—Hu Yilin on How to Make Knowledge Subject to Examination Again

AI & Scholarship2026.07.10
The Real Crisis in Academia Is Not That AI Can Write Papers, but That We Only Know How to Recognize Titles—Hu Yilin on How to Make Knowledge Subject to Examination Again
Hu Yilin Interview | July 10, 2026 ◆ Lead-in | In May 2026, an international medical conference held in Copenhagen was drawn into a suspected case of systemic academic fraud: several Indonesian participants were accused of falsifying institutional affiliations, impersonating real researchers, and smuggling dubious research into the conference. Indonesia’s higher-education authorities and national research institutions then launched an investigation. In July, Nature reported on “humanizing” tools that can erase the “AI tone” from academic text; another audit of 2.5 million biomedical papers found false citations in nearly 3,000 papers that could not be matched to real publications.[1][3][4] Fake scholars, fake authors, fake citations, AI cheating—these incidents all seem to…
scholarship knowledge AI AI interview
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Jul 10, 2026
The AI Training Craze Should Not Turn into a “Certificate Movement”

AI & Scholarship2026.07.08
The AI Training Craze Should Not Turn into a “Certificate Movement”
After Singapore’s accounting sector launched AI training for 60,000 people, Hu Yilin talks about the real problem with vocational training: it is not about teaching people to memorize prompts, but about making them dare to use AI, know how to ask questions, and be able to judge. In July 2026, Singapore pushed AI vocational training into a very concrete industry setting: the Institute of Singapore Chartered Accountants and the Infocomm Media Development Authority launched AIxAccountancy, planning to equip 60,000 accounting and corporate finance professionals with AI usage capabilities over three years. The courses do not just speak in generalities about AI; they put AI into professional workflows such as accounting,…
technology education AI AI interview
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Jul 8, 2026
From the China Zun Incident to AI Governance: Hu Yilin on New Technologies, Safety, and Social Mobility

AI & Scholarship2026.06.29
From the China Zun Incident to AI Governance: Hu Yilin on New Technologies, Safety, and Social Mobility
IntroductionAfter the Beijing CITIC Tower, “China Zun,” was struck by a small aircraft, low-altitude flight safety once again became a public issue. But in the view of technology philosophy researcher Hu Yilin, this accident should not be understood only as a low-altitude economy risk; it should be discussed within a much larger problem: whenever a new technology moves into mass use, society always tightens control in the name of safety, but whether that control is effective, who bears its costs, and who enjoys its benefits are often far more worth asking than the question of “whether we need safety” itself. After the China Zun accident, low-altitude safety was pushed into…
technology freedom Introduction to Philosophy of Technology sociology
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Jun 29, 2026
Stop Asking Whether It Was Written by AI; First Ask Whether It’s Any Good

AI & Scholarship2026.06.24
Stop Asking Whether It Was Written by AI; First Ask Whether It’s Any Good
Hu Yilin on AI Writing, Authorial Responsibility, and the Academic Paper System IntroductionAfter science fiction writer Hao Jingfang spoke about AI’s participation in novel writing, a dispute broke out over whether “AI writing should be labeled” and whether “AI as the chief writer still counts as creation.” What such arguments really touch is not how much AI a particular writer used, but how authors, readers, and the academic community should rethink creation, responsibility, and evaluation once AI has entered the formal writing process. Hu Yilin’s position is very clear: he not only supports AI-assisted writing, but also AI-led writing. Human beings can in the future completely become second authors, editors,…
scholarship blog knowledge paper
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Jun 24, 2026
AI Regulation Must Not Become a New Despotism in the Technological Age

AI & Scholarship2026.06.24
AI Regulation Must Not Become a New Despotism in the Technological Age
Recently, the U.S. government, citing national security, asked Anthropic to suspend foreign nationals’ access to its frontier large models Fable 5 and Mythos 5. Anthropic then announced that, in order to ensure compliance, it would take both models offline for all users. This incident quickly sent shockwaves through the AI industry: if one country can, on security grounds, suddenly cut off global users’ access to frontier AI, then what exactly is AI—a commercial service, a piece of public infrastructure, or a new kind of strategic weapon? In the public discussion surrounding this incident, opinion quickly split into two camps. One side believes that frontier large models may be used for…
freedom history of technology public sphere AI
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Jun 24, 2026
Universities that prohibit students from using AI to write papers should be dissolved immediately

AI & Scholarship2026.05.27
Universities that prohibit students from using AI to write papers should be dissolved immediately
It’s graduation season again, and recently many universities in China have acquired a new task: checking AI-generation rates. Rules like “if AI-generated content (AIGC rate) exceeds 40%, you cannot graduate” are simply hilarious; they show how helpless some universities are in the age of AI. I believe that any university that stipulates that using AI means you cannot graduate can be dissolved on the spot; that is the best thing it can do for this era. Stop misleading the young. Checking the AIGC rate is a joke Checking the AIGC rate is in the same vein as the earlier thesis plagiarism check. I criticized the absurdity of plagiarism checks in…
China scholarship freedom education
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May 27, 2026
If Scholars Don’t Use AI, That Counts as Academic Corruption

AI & Scholarship2026.05.09
If Scholars Don’t Use AI, That Counts as Academic Corruption
AI’s New Advances At the end of last year, at someone’s request, I wrote a piece, Will AI Restructure the History of Science?. That happened to coincide with the release of gemini 3.0, and I thought it marked a watershed, the point at which AI moved from the level of a student to the level of a professional researcher. Less than half a year later, the AI tool landscape has once again shifted dramatically; gemini long ago ceased to be leading, and claude and chatgpt have reclaimed the lead in capability. More importantly, claude’s cowork and chatgpt’s codex have both undergone qualitative leaps forward too (perhaps spurred on by openclaw),…
technology history of science scholarship freedom
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May 9, 2026
Gathering All the Books in the World—Can the Library of Alexandria of the AI Era Endure?

AI & Scholarship2026.04.23
Gathering All the Books in the World—Can the Library of Alexandria of the AI Era Endure?
This article was published in China Science Daily (2026-04-23, p. 3, General), with the title changed to AI Can Now Read “All the Books in the World”; Do Humans Still Need to Read Books?. It was edited down and divided into sections at publication; the original draft is posted here: Around 295 BCE, Ptolemy I commissioned the Greek scholar Demetrius to build a magnificent library and Mouseion (an academic institution) in the city of Alexandria. Demetrius proposed the grand vision of “collecting all the books in the world,” and it received the continuing support of the Ptolemaic royal house. The first three Ptolemies carried the project forward one after another,…
scholarship commentary internet knowledge
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Apr 23, 2026
Distribution According to Enjoyment: How to Break the Logic of Involution in the Age of Artificial Intelligence

AI & Scholarship2026.03.30
Distribution According to Enjoyment: How to Break the Logic of Involution in the Age of Artificial Intelligence
The Cycle of Involution and Unemployment Could We Really Work Only Two Days a Week? As artificial intelligence keeps iterating, a new wave of “raising lobsters” (OpenClaw) has recently swept in: we can give AI permissions, let it act on its own, operate computers like a human, scrape data, write papers, build websites, make trades—there is nothing it cannot do. Although at present it still does not seem easy to train a truly labor-replacing “lobster,” the sense of crisis among wage workers is already hitting us head-on. One lovely fantasy might be this: wage workers go on working as usual and collecting their salaries, but hand all the actual labor…
everyday life culture freedom AI
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Mar 30, 2026
Will AI Restructure the History of Science?

AI & Scholarship2026.03.24
Will AI Restructure the History of Science?
Published in Xinrui Weekly, issue 162; the original draft is posted here. 1 AI accelerates iteration: from assistant to master I received this commissioned piece in September, but I procrastinated until December to write it. Yet that delay also meant I waited for the November 18 release of Gemini 3.0, a milestone that marks the restructuring of academic research by AI as having entered the present continuous tense. It is not that Gemini 3.0 overturned my previous views; rather, many of the “AI will…” statements I had discussed before now have to be rewritten as “AI can already…”. The previous major milestone was probably at the beginning of 2025, when…
philosophy history of science scholarship history
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Mar 24, 2026

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History of science · Philosophy of technology · AI · Web3.

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