Nina Beguš reposted
Total fuckin' coincidence why y'all being weird about it? nysfocus.com/2026/07/14/n...
Who's Who of AI
Nina Beguš
Why they matter
Researcher with public evidence across AI research, Culture, work & education.
- AI signals
- 8 past 30d
- Sources
- 7 distinct domains
- Discussions
- 2 past 30d
- Latest signal
- 4d ago
UC Berkeley - InterpretAI
Artificial Humanities - First Encounters with AI
www.ninabegus.com
What they're sharing
Rural NY School To Launch Humanoid Robot Teacher nysfocus.com
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[2607.02369] World Wide Models: Literary Tools for Cultural AI arxiv.org
nytimes.com
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cdh.princeton.edu
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bookshop.org
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Exhibition Opening Reception: “Hidden Layers: AI Infrastructures and Hallucinations” events.berkeley.edu
ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline aclanthology.org
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AI Model ConlangCrafter Dreams up Entire New Languages spectrum.ieee.org
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What’s really happening inside AI’s black box? Berkeley researchers have answers ls.berkeley.edu
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AI Model ConlangCrafter Dreams up Entire New Languages spectrum.ieee.org
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ICCC computationalcreativity.net
Artificial Humanities – University of Exeter Press exeterpress.co.uk
Articles & links
What is Cultural AI and the objects of its study? My paper addresses literary tools that can be borrowed to address cultural AI issues. The paper is on now ArXiv and forthcoming in Modern Fiction Studies in Spring 2027. arxiv.org/abs/2607.02369
AI Weekly's analysis
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- Nina Begus argues LLMs stage a cultural encounter that is 'massive, automated, and monolingual,' and proposes literary scholarship as the corrective toolkit.
- The essay proposes applying world literature methods — macrostructure, circulation, and untranslatability — to build culturally literate AI.
- The 15-page essay is forthcoming in MFS Modern Fiction Studies in 2027 and connects critical theory to structural monolingualism in AI.
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Nina Beguš reposted
Nobel-Winning US Chemist Will Move to China to Lead AI Institute: “Yaghi …voiced concern about Mr. Trump’s immigration policies, saying that they endanger the nation’s system of universities, companies and governments that promote scientific excellence.” www.nytimes.com/2026/0…
Nina Beguš reposted
Coming up on 10/6! @leifw.bsky.social discusses the epistemic order that LLMs are currently spreading throughout our culture, from policy to science to writing. More info & RSVP (requested) @ the link! Presented in partnership with CDH, Media+Modernity, and @princeton.edu Huma…
Nina Beguš reposted
We wrote a book about AI, Class, and Capitalism! *Why We Fear AI* argues that, fundamentally, AI is a tool of class war from above, a tool for surveillance, labor control, and wage depression. Get it from your local bookstore if you can! A quick 🧵1/4
The "Hidden Layers" exhibition examines some of the concealed dimensions of contemporary AI culture — the planetary infrastructures of extraction and computation, the often invisible human labor, the latent vector spaces within which culture is compressed and... events.berkele…
AI Weekly's analysis
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- Hidden Layers opens at UC Berkeley's Worth Ryder Art Gallery with a reception on September 3, 2026, and runs through October 3.
- The show is curated by Antonio Somaini with Hannes Bajohr and Sonja Thiel, tied to the France-Berkeley initiative The Latent Spaces of Culture.
- Featured artists include Kate Crawford and Vladan Joler, Grégory Chatonsky, Mario Santamaria and others, working across AI infrastructures and hallucinations.
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Nina Beguš reposted
Very cool: Gašper Beguš of Berkeley has used an LLM to build incredibly detailed constructed languages, from phonotactics to morphology to grammar HIs paper: aclanthology.org/2026.acl-lon... Some press: spectrum.ieee.org/conlangs-ai-... And some languages! conlangcrafter.githu…
Nina Beguš reposted
Very cool: Gašper Beguš of Berkeley has used an LLM to build incredibly detailed constructed languages, from phonotactics to morphology to grammar HIs paper: aclanthology.org/2026.acl-lon... Some press: spectrum.ieee.org/conlangs-ai-... And some languages! conlangcrafter.githu…
Nina Beguš reposted
What happens inside AI’s “black box”? A collaboration between Linguistics Prof. @begus.bsky.social, Berkeley Artificial Humanities researcher @ninabegus.bsky.social + artist collective Metahaven uses immersive interactive artworks to explore how AI systems process information.…
Nina Beguš reposted
An AI that builds coherent, rule-governed conlangs is now public—raising new ways to probe language structure and model behavior.
The International Conference on Computational Creativity is hosting an Artificial Humanities workshop on narratives and AI. computationalcreativity.net/iccc26/works...
We're excited to announce Artificial Humanities book series at the University of Exeter Press!💈 We invite book proposals that carry humanistic inquiry into the artificial, from ancient automata to contemporary AI and beyond. www.exeterpress.co.uk/collections/...
Their own posts
Recent commentary
Siblings are finally united! What is writing and reading in the time of AI? Ted Chiang, Ken Liu, Sheila Heti, Sasha Stiles, James Yu, and other amazing writers reflect and offer new possibilities. @uofmpress.bsky.social
Liminality is the most productive way of AI exploration (IMO), and Pierre Hugyhe is the king of liminality. Thanks to @ranjodhdhaliwal.com for snapping these at Fondation Beyeler!
We’re addressing the Authors Guild’s Human Authored Certification Mark in the new issue of @pw.org My take is we need more nuance than human vs. machine-authored. Every text after 2022 is potentially AI-touched, just as every iPhone photo is computationally mediated. Transparency matters.
Coming out: Encounters with AI and First Encounters with AI ☺️
Whenever I speak about other architectures than transformers, it becomes clear that the audience tends to think in terms of LLMs or just plainly about LLMs. They've taken all the head space.
Vojnich is perfect for AI to crack, but here we are.
A new scholarly book on narrative and AI that builds on artificial humanities 🤙
The University of Kentucky researchers decoded otherwise unreadable Herculean scrolls using X-ray scans, machine learning, and knowledge of ancient Greek. The University is rightly proud of this achievement.... only to not offer the ancient Greek course due to low enrollment.
Science and AI is a hot topic among academics. But not outside of the academia and some parts of the industry. The problem an expert is working on seems urgent and evident to them, but the world is often not yet ready to her about it. You're likely too early.
Jean-Pierre Serre turned a 100 years old! Here's what he said many years ago about learning math. It still holds, even in the time when the machine does math better than us. Math is closer to the pursuit of art. This is what the recent Leiden Declaration on AI and Math defended.
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