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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
Nina Beguš
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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
Nina Beguš reposted
Here at @schmidtsciences.bsky.social, we now have full abstracts up on our website for the 19 new HAVI Awards! These are interdisciplinary DH projects that are improving AI as a tool for new kinds of humanities research. Congrats to all the awardees! www.schmidtsciences.org/havi-2026-an...
What happens to writing when machines can write? How are novelists, poets, and screenwriters responding to AI, and what does it mean for creativity, authorship, and the future of storytelling? Join us on November 18 at UC Berkeley with @hannesbajohr.de, Alex-Saum Pascual, and Nick Nardini.
What happens to writing when machines can write? How are novelists, poets, and screenwriters responding to AI, and what does it mean for creativity, authorship, and the future of storytelling? Join us on November 18 at UC Berkeley with @hannesbajohr.de, Alex-Saum Pascual, and Nick Nardini.
Nina Beguš reposted
I’m excited to lead the Epistemic Cycles Lab! We will develop a historical study of information technologies that will help us identify mechanisms for preserving, producing, and organizing knowledge today. longnow.org/ideas/announ...
Nina Beguš reposted
✍️ Writing with AI is now a spectrum. 🗣️ Join us next week for a talk with Aarhus University Prof. Mads Rosendahl Thomsen on AI-shaped writing as part of the Cultural Analytics Series. @ucbids.bsky.social 📆 October 30, 12-1:30 pm 📍 210 South Hall and Online
I’m excited to lead the Epistemic Cycles Lab! We will develop a historical study of information technologies that will help us identify mechanisms for preserving, producing, and organizing knowledge today. longnow.org/ideas/announ...
Nina Beguš reposted
What should cultural analytics do about genAI? We address the infrastructural force of narratives within AI corporatization, argue for constitutive humanism against a purely decorative stance, and suggest methods to examine the function of narratives within and around AI. ssrn.com/abstract=758...
Nina Beguš reposted
Nina Beguš reposted
I am hiring a postdoc for four years to work with a fantastic technical + humanistic team on this SNSF funded project on AI and interpretation: contralab.online/philology . If you can work on LLM interpretability/explanability, see contralab.online/job ...
I don’t think any teacher matters as much as the music teacher. It’s just something about the relation that makes you enchanted or disenchanted. Now PRACTIX! youtu.be/Wpp7oxrBUq0?...
Thank you for the feature @harvardmagazine.bsky.social We got so many Harvard alumni in this volume we failed to mention Gerardo Con Diaz (08) and Joseph Dumit (Prof) :) @sashastiles.bsky.social @nicholasnardini.bsky.social @kyliu99.bsky.social
Nina Beguš reposted
Nina Beguš reposted
Nina Beguš reposted
Imagitation it itself imagitation. Read this great book! @metahaven.bsky.social
Nina Beguš reposted
Old conceptual frameworks need an update. Very excited to be awarded the Schmidt Sciences HAVI Award for "Rethinking Language" in collaboration with @ninabegus.bsky.social . Humanities have a bright future! www.schmidtsciences.org/havi-2026-an...
Our MLA session on Theorizing Agentive AI Infrastructures with Daniella Gati, Xuenan Cao, Junting Huang, Katherine Johnston, and Amit Ray mla.confex.com/mla/2027/mee...
Our MLA 2027 session on AI Models in/as Cultural Imagination with @hannesbajohr.de, Kate Hayles, @sethperlow.bsky.social and @zentralwerkstatt.org mla.confex.com/mla/2027/mee...
A propos of another literary prize scandal, here is our paper looking at popular art and generative AI in terms of media theory in relation to market incentives. @kabirahuja2431.bsky.social @jivatneet.bsky.social dx.doi.org/10.2139/ssrn...
Nina Beguš reposted
Nina Beguš reposted
Nina Beguš reposted
ah damn, RIP Margaret Hamilton. she took safety-critical software engineering seriously, and got people to the moon and back. news.mit.edu/2026/margare...
Nina Beguš reposted
Nina Beguš reposted
Cool job alert, this looks excellent: Cornell is hiring up to 5 postdocs in humanities/social sciences & AI. 2 year positions. jobs.chronicle.com/job/38045266...
Nina Beguš reposted
✨Insightful and timely research opening new perspectives…learn more here…
We form our identities always in relation to the other. The other used to be the animals, now the other is artificial, silicon intelligence. This provides an opportunity to identify as a biological intelligence that will unite the natural world. begus.substack.com/p/the-next-t...
Nina Beguš reposted
Replying to @colin-fraser.net
Not transformer-based, but a GAN language model has helped with this already!
We built an artificial baby model that learns language directly from raw sound and trained it to imitate whale speech. Then we looked inside. Our interpretability method recovered the properties biologists already thought were meaningful and pointed out those that had not been considered before.
Nina Beguš reposted
Nina Beguš reposted
Perhaps the next Theory of Evolution is the realization that we are just one of many possible and diverse intelligences and that our legal, societal, and value systems should be adjusted accordingly. Read full essay here: begus.substack.com/p/the-next-t... Or: zenodo.org/records/2307...
Nina Beguš reposted
Nina Beguš reposted
Cool post-doc opp for recent graduates in computer science & AI from Schmidt Sciences; broad range of AI topics that intersect with comp social sci. & humanities, esp. problems with alignment, interpretability, and knowledge production. Great foundation to work with: jobs.lever.co/schmidt-enti...
From now on, "First Encounters with AI" are delivered for all preorders: press.umich.edu/Books/F/Firs... Feel free to use UMWEB30 discount code. Since this is a trade book, it won't be open access. There will be an e-book closer to the official publication date in mid-November.
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