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I think it's time to define a new bias: LLMorphism is the belief that humans work like large language models. Since I started writing about the differences between human and artificial intelligence, I have received hundreds of messages from people who truly believe that humans are just LLMs. That human language is just next-token prediction. That creativity is just recombination of linguistic input. That humans always hallucinate and never really aim at truth. These people are not anthropomorphizing LLMs. They're doing the opposite: they're LLMorphizing humans. Over the past months, I have been thinking about this phenomenon. I argue that it emerges from two mutually reinforcing psychological mechanisms: Analogical transfer, whereby features of LLMs are projected onto humans due to output alignment; Metaphorical availability, whereby the vocabulary of LLMs becomes a culturally salient way of describing human thought. LLMorphism is a bias because it is based on an invalid inference: that similarity in linguistic outputs implies similarity in underlying processes. In this new paper, I define LLMorphism, describe its psychological basis, distinguish it from related constructs, and discuss its possible social consequences. My worry is that LLMorphism may badly impact various sectors of society by taking mind, agency, and understanding away from humans. The public debate may be missing half of the problem. The issue is not only whether we are attributing too much mind to machines. It is also whether we are beginning to attribute too little mind to humans. Article in the first reply.

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Critical thinking is older than we think. Long before modern education, philosophers challenged assumptions, questioned beliefs, and searched for truth through reflection. Progress begins when people start questioning.

It’s a hefty 206-page research paper, and the findings are concerning. "LLM users consistently underperformed at neural, linguistic, and behavioral levels" This study finds LLM dependence weakens the writer’s own neural and linguistic fingerprints. 🤔🤔 Relying only on EEG, text mining, and a cross-over session, the authors show that keeping some AI-free practice time protects memory circuits and encourages richer language even when a tool is later reintroduced. Let me explain: 🧵

時をかける猫ねこ036"Cats Who Leapt Through Time" (20170506) 『Ken🐈‍⬛🐈Go』ほぼ 9年前🎨ケンちゃんとゴッちゃんが交わる場所がエントランスでしたニャ。#尾道市立美館 #尾道 #猫

Malaysia Trip

Keep using AI for everything. I'm serious. Don't change a thing. Just know what researchers found when they studied 666 people across multiple age groups and measured the relationship between AI tool usage and critical thinking ability. Significant negative correlation. The more frequently someone relied on AI tools, the weaker their independent reasoning became. Younger users showed the highest AI dependence and the lowest critical thinking scores. The paper: "AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking" MDPI Societies, January 2025. The irony is precise. The people using AI most aggressively to appear smarter are the ones quietly losing the ability to think without it. There's a version of AI use that makes you sharper. You use it to challenge your thinking, pressure-test your reasoning, find gaps in your argument. And there's the version most people use. Outsource the thinking entirely. Accept the output. Move on. One builds you. The other slowly replaces you.

PETE HEGSETH: “We took out Iran’s nuclear capabilities last year. This war wasn’t started because they were close to getting nuclear weapons, it started because they still had nuclear ambitions.” Hegseth accidentally tells congress that Iran posed no imminent threat to America.

Selangor is encouraging new data centres to use recycled or treated raw water for cooling systems. Exco Ng Sze Han said data centres do not necessarily require potable water, and as such, alternative sources should be used to protect supply for consumers. 🧵1

Saya mengutuk tindakan ganas rejim Zionis Israel terhadap misi kemanusiaan Global Sumud Flotilla di perairan antarabangsa, satu pelanggaran nyata undang-undang maritim dan menyerupai tindakan lanun yang mencemari prinsip kemanusiaan sejagat. Malaysia mendesak agar semua pihak bertindak dengan segera dan memastikan tiada sebarang tindakan keras dikenakan terhadap semua para aktivis, termasuk 10 rakyat Malaysia yang kini ditahan dan terputus hubungan. Keselamatan mereka mesti dijamin tanpa kompromi. Kerajaan MADANI sedang berhubung dan bekerjasama rapat dengan negara-negara sahabat bagi memastikan mereka dibebaskan dengan segera. Dalam situasi getir ini, ihsan dan kemanusiaan harus mengatasi segala perbezaan dan Malaysia akan terus berdiri teguh mempertahankan prinsip tersebut. Kepada Allah SWT kita berserah, disulam dengan usaha menyeluruh yang sedang digerakkan, semoga kesemua mereka berada dalam keadaan selamat. Doa seluruh rakyat Malaysia mengiringi Global Sumud Flotilla. Hasbunallahu wa ni‘mal wakil.

You open ChatGPT. You type the question. A clean, structured answer comes back in three seconds. You read it, it makes sense, you move on. You feel like you learned something. Forty-five days later, a professor walks in and hands you a test you weren't expecting. You don't remember most of it. André Barcaui at the Federal University of Rio de Janeiro ran the experiment to find out if the feeling was accurate. 120 undergraduate business students, ages 18 to 24. All told to spend two weeks researching AI concepts, ethics, societal impacts, technical foundations, and prepare a 10-minute presentation. Sixty used ChatGPT freely. Sixty used textbooks, library databases, articles, and standard web search. Then, 45 days later, with no warning, a retention test. The ChatGPT group scored 57.5%. The traditional group scored 68.5%. Cohen's d was 0.68, a medium-to-large effect. In most grading systems, that's the difference between passing and failing. This is called cognitive offloading. When your brain delegates thinking to an external tool, it reduces the mental effort required during encoding. Effort is what makes memories durable. Struggling to find, synthesize, and connect information is not an inefficiency in the learning process. It is the learning process. ChatGPT removes the struggle and takes the encoding with it. Barcaui calls what the AI group experienced "borrowed competence." The answer was structured, the vocabulary was right, the reasoning felt sound. It just wasn't theirs. And 45 days later, it was gone. The AI group's forgetting curve was steeper and didn't stabilize the way the traditional group's did. The memories weren't just smaller. They were more fragile from the start. You didn't learn it. You borrowed it.

時をかける猫ねこ026"Cats Who Leapt Through Time" (20220427) 『顔を洗う👮‍♂️🐈‍⬛wash my face』ちょうど 4年前🎨昼休み、休憩中のケンちゃんでしたニャ。#尾道市立美館 #尾道 #猫動画

The Palestinian Health Ministry says at least 72,587 people have been killed in Gaza since Israel’s genocidal onslaught began in October 2023. 🔴 LIVE updates: aje.news/i9lisw

Taking notes by hand leads to better greater conceptual understanding and retention than typing.

Nitel araştırmalarda “kaç görüşme yeterli?” sorusunun cevabı son yıllarda çok tartışılır oldu ve farklı çalışmalar var. Bu 👇🏼çalışma ideal “sihirli sayı” yok diyor ve incelediği 562 çalışmaya göre örneklem kararlarımızı açıklamada 3 adım öneriyor: 1. Açma 2. Odaklanma 3. Kapama++

Some academic fields are just ridiculously incompetent. Qualitative research is completely riddled with subjective and non-reproducible mumbo-jumbo. Now that LLM:s make rigorous text analysis possible, these "researchers" refuse to use it. 🤯🤐

時をかける猫ねこ023"Cats Who Leapt Through Time" (20180423) 『Ken🐈‍⬛🐈Go』ほぼ 8年前🎨エェ⁉︎ というゴッちゃんの表情が秀逸でしたニャ。#尾道市立美館 #尾道 #猫

can't believe this random girl actually got 425 Malaysians to sign her rare parliamentary petition to discipline truant MPs 🤯 but now she wants to get 1K signatures pulak?? here is the full scoop on this story 🧵

Rejecting the use of GenAI for qualitative research on the grounds of ethical concerns/social and environmental justice (not just methodological concerns) is valid and important. That is why I like this letter written by qualitative researchers from 32 countries:

BREAKING: Lebanese journalist Amal Khalil has been killed in an Israeli attack, confirms her employer. Lebanon’s Health Ministry said Israel “pursued” Khalil by “targeting” the house where she took shelter after an Israeli attack. 🔴 LIVE updates: aje.news/bpt7v6