Kyle Mahowald @kmahowald.bsky.social · 01/10/2026This sounds so cool! Hoping for a CxG theory of proteins 030
Kyle Mahowald @kmahowald.bsky.social · 30/09/2026AI agents say things like ARGH and OH MY GOD in their chains of thought. Good reason to think it's not just imitation but that these words play functional roles for doing reasoning. What comes after "oops" is very different than what comes after "aha"... 020
Kyle Mahowald @kmahowald.bsky.social · 30/09/2026AI agents say things like ARGH and OH MY GOD in their chains of thought. Good reason to think it's not just imitation but that these words play functional roles for doing reasoning. What comes after "oops" is very different than what comes after "aha"... 021
Reposted by Kyle MahowaldThe Atlantic @theatlantic.com · 29/09/2026Chatbots using expressions such as “OH MY GOD!” may simply be mimicking human language—but these exclamations may also be helpful for their own processes, Daniel Drucker and Kyle Mahowald write.bit.lyWhy Do AI Agents Sound So Frustrated?"ARGH... WHY IS THIS SO HARD." 1205
Kyle Mahowald @kmahowald.bsky.social · 29/09/2026our take now in The Atlantic on what AI gets out of borrowing our oopses, arghs, and ahas! 091
Kyle Mahowald @kmahowald.bsky.social · 04/09/2026The third in Sasha’s series of causal intervention syntax papers! This one looks at what happens when we transfer interventions across languages. 020
Reposted by Kyle MahowaldMike Frank @mcxfrank.bsky.social · 21/08/2026Doing science with Claude Code (Fable 5) is fascinating. I give it open-ended, complex tasks and it will go off for 30min and execute very successfully. Sometimes it find much better solutions to my problem than what I suggested. 3304
Reposted by Kyle MahowaldRobbie Kubala @rkubala.bsky.social · 10/08/2026It was really fun working with Guy to defend our views about practice-based aesthetic normativity! This whole co-authorship thing turns out to be pretty great. 053
Kyle Mahowald @kmahowald.bsky.social · 22/07/2026Look for Sasha Saturday at his poster or throughout the week to talk about this or toms of other things he’s doing in the LM interp and linguistics space! #CogSci2026 051
Reposted by Kyle MahowaldSasha Boguraev @sashaboguraev.bsky.social · 21/07/2026I’ll be in Rio this week to present this at CogSci! Excited to talk about what the study of LM interp (and LMs more broadly!) can contribute to studies of Cognitive Science and Linguistic Theory. Reach out if you’d like to chat! 073
Reposted by Kyle MahowaldRuss Poldrack @russpoldrack.org · 18/07/2026I've posted a preprint of a philosophical paper I've written on the relationships between understanding, prediction, and compression, based on a talk I gave at SPAN 2025. Now in press at Synthese. philarchive.org/archive/POLUPAphilarchive.org 04814
Kyle Mahowald @kmahowald.bsky.social · 18/07/2026en route to Rio for CogSci today! Thread on stuff to check out for those in Rio. (1) I'll talk Thursday in the symposium on "(In)efficiency in Language" and will make an attempt to connect work our group's work on linguistic efficiency with our work on neural interpretability. 1120
Reposted by Kyle MahowaldCentre for Language Evolution @uoe-cle.bsky.social · 08/07/2026New commentary by Jennifer Culbertson, @simonkirby.bsky.social & @kennysmithed.bsky.social in response to @futrell.bsky.social & @kmahowald.bsky.social 2025: #Language models do not yet achieve explanatory adequacy because language is more than incremental prediction. 🔗https://tinyurl.com/3nufv5hp 0103
Reposted by Kyle MahowaldMarianne de Heer Kloots @mdhk.net · 03/07/2026Now out in BBS, as commentary on @futrell.bsky.social & @kmahowald.bsky.social's "How linguistics learned to stop worrying and love the language models"! Humans learn much of spoken language structure from speech (not text), & we can study models that do the same. www.cambridge.org/core/journal... 1286
Kyle Mahowald @kmahowald.bsky.social · 02/07/2026The full BBS treatment from me and @futrell.bsky.social on "How linguistics learned to stop worrying and love the LMs" is now out, with all the commentaries and our response. If you "Save PDF", it will give you the whole target article + commentary + response pdf: www.cambridge.org/core/journal...cambridge.orgHow linguistics learned to stop worrying and love the language models | Behavioral and Brain Sciences | Cambridge CoreHow linguistics learned to stop worrying and love the language models - Volume 49 2359
Reposted by Kyle MahowaldMark Dingemanse @markdingemanse.net · 02/07/2026Out now! For robust research, center values, not technology, w/ Christine Cuskley DOI doi.org/10.1017/S014... PDF pure.mpg.de/rest/items/i... Our commentary on "How linguistics learned to stop worrying and love the language models" by Futrell & Mahowald 22810
Reposted by Kyle MahowaldJeffrey Bowers @jeffreybowers.bsky.social · 02/07/2026There is a great deal of interest in whether LLMs challenge Chomsky’s claim that human language acquisition requires some sort of innate inductive bias (e.g., some sort of universal grammar). aclanthology.org/2020.coling-... pemt.ru/wp-content/u... doi.org/10.1037/rev0...aclanthology.orgPriorless Recurrent Networks Learn CuriouslyJeff Mitchell, Jeffrey Bowers. Proceedings of the 28th International Conference on Computational Linguistics. 2020. 1104
Reposted by Kyle MahowaldStefan Hartmann @stefanhartmann.bsky.social · 01/07/2026Very happy to see this out: @bbunzeck.bsky.social, Sina Zarrieß, Elena Lieven and I have commented on @futrell.bsky.social & @kmahowald.bsky.social's excellent and thought-provoking BBS target article on LLMs and linguistics. I also enjoyed reading the other commentaries a lot!doi.orgNo usage-based linguistics without language use | Behavioral and Brain Sciences | Cambridge CoreNo usage-based linguistics without language use - Volume 49 1133
Reposted by Kyle MahowaldRaphaël Millière @raphaelmilliere.com · 02/07/2026My commentary on @kmahowald.bsky.social & @futrell.bsky.social's excellent BBS paper on the relevance and significance of LLMs for linguistics is now out, along with many other peer commentaries: www.cambridge.org/core/journal... (preprint to follow) 0151
Kyle Mahowald @kmahowald.bsky.social · 30/06/2026Exciting times at UT Linguistics. Go find Kanishka and Lindia at ACL! 030
Kyle Mahowald @kmahowald.bsky.social · 21/06/2026Re-upping this. Working with Open Mind as an editor, I can say Open Mind is a real (and free!) bright spot in our current weird landscape of peer review and publication! 1162
Reposted by Kyle Mahowaldlanguagemit.bsky.social @languagemit.bsky.social · 20/06/2026—— Open Mind is MIT Press’s Diamond Open Access Cognitive Science journal. We now have our first Impact Factor: 2.9 as of June 2026 Submit your papers to Open Mind direct.mit.edu/opmi 118372
Reposted by Kyle MahowaldMatt Weiner @mattweiner19.bsky.social · 15/06/2026I wrote a bit about the aesthetics of crossword puzzle clues, taking off from @rkubala.bsky.social's essay on the aesthetics of crosswords! saucersofmud.wordpress.com/2026/06/15/c...saucersofmud.wordpress.comCraft and Elegance in Cryptic CrosswordsRobbie Kubala’s excellent paper on “The Aesthetics of Crosswords” talks about three sources of aesthetic value in a crossword: “the aesthetic experience of struggling for an… 3125
Reposted by Kyle MahowaldRaphaël Millière @raphaelmilliere.com · 11/06/2026Now published in open access! Your one-stop shop for the philosophy of language models. It's the spiritual descendant of our two-part preprint from 2024, fully updated. This should be particularly useful for anyone looking for an entry point into this rapidly growing field.compass.onlinelibrary.wiley.comThe Philosophy of Language ModelsThe success of large language models (LLMs) across many domains of AI research has generated intense debate. Some attribute their impressive performance on complex tasks to human-like linguistic and ... 210932
Kyle Mahowald @kmahowald.bsky.social · 18/05/2026Excellent piece from Tom that gave us a lot to think about in our response! 093
Reposted by Kyle MahowaldKanishka Misra @kanishka.bsky.social · 11/05/2026New opinion piece on the interface between research on concepts and categories in minds vs. in neural network LMs! I take the position that there is much to be learned from this interface (e.g., learning about concepts from language alone) and outline some directions for future. 25712
Kyle Mahowald @kmahowald.bsky.social · 08/05/2026"the neural toolkit provides a system one can probe and perturb in order to generate theories and test them counterfactually. These all seem to us like desirable features of good linguistic explanations." Check it out and see if you find our analysis explanatorily satisfying! 050
Reposted by Kyle MahowaldInternational Conference on Computational Social Science @ic2s2.bsky.social · 06/05/2026We are excited to announce Kyle Mahowald will be a Keynote Speaker at IC2S2 2026! 191
Reposted by Kyle MahowaldKyle Mahowald @kmahowald.bsky.social · 06/05/2026New paper with @danieldrucker.bsky.social! We had language models play The Counterexample Game, a philosopher's pastime where one person proposes a conceptual analysis , another pokes holes in it, and the first one tries to repair it. What happens over long iterated chains? arxiv.org/abs/2605.03936arxiv.orgThe Counterexample Game: Iterated Conceptual Analysis and Repair in Language ModelsConceptual analysis -- proposing definitions and refining them through counterexamples -- is central to philosophical methodology. We study whether language models can perform this task through iterat... 1289
Kyle Mahowald @kmahowald.bsky.social · 06/05/2026New paper with @danieldrucker.bsky.social! We had language models play The Counterexample Game, a philosopher's pastime where one person proposes a conceptual analysis , another pokes holes in it, and the first one tries to repair it. What happens over long iterated chains? arxiv.org/abs/2605.03936arxiv.orgThe Counterexample Game: Iterated Conceptual Analysis and Repair in Language ModelsConceptual analysis -- proposing definitions and refining them through counterexamples -- is central to philosophical methodology. We study whether language models can perform this task through iterat... 1289
Reposted by Kyle MahowaldElliot Murphy @elliot-murphy.bsky.social · 17/04/2026Happy to share our BBS commentary, now in press! Thanks to @kmahowald.bsky.social & @futrell.bsky.social for a very thoughtful response. A couple of thoughts [on their reply [to our commentary [on their target article]]] 🧵 lingbuzz.net/lingbuzz/009...lingbuzz.netMachine yearning: LLMs do not capture formal linguistic structure and obscure neuroscientific inquiry - lingbuzz/009929Futrell and Mahowald (2025) argue that neural networks have learned non-trivial aspects of language. We argue that these systems have not in fact demonstrated “mastery” (2025: 10) of syntax, marshalli... 2182
Kyle Mahowald @kmahowald.bsky.social · 17/04/2026Richard @futrell.bsky.social and I have posted our response to the commentaries on our BBS target article "How Linguistics Learned to Stop Worrying and Love the Language Models." The response is: "You Can't Fight in Here! This is BBS!" arxiv.org/abs/2604.09501arxiv.orgYou Can't Fight in Here! This is BBS!Norm, the formal theoretical linguist, and Claudette, the computational language scientist, have a lovely time discussing whether modern language models can inform important questions in the language ... 13513
Reposted by Kyle MahowaldKanishka Misra @kanishka.bsky.social · 17/04/2026Announcing a new version of our 2024 paper on linguistic hypothesis generation from LMs! @najoung.bsky.social and I have systematized our hypothesis generation framework, added stringent criteria for model selection, 10x-ed our learning trials, and included an epigraph from Jeff Elman 🙏! 1195
Kyle Mahowald @kmahowald.bsky.social · 17/04/2026Excited about Sasha’s latest on mech interp for linguistic phenomena! This time conjunct islands like “I know what he played baseball and ate.” 050
Reposted by Kyle MahowaldMichael Pleyer @symbolicstorage.bsky.social · 08/04/2026#EvolangXVI starts off with a plenary by @glupyan.bsky.social on the cognitive functions of language! #language #linguistics 2255
Reposted by Kyle MahowaldMark Dingemanse @markdingemanse.net · 10/03/2026New! For robust research, center values, not technology, w/ @nerdpro.bsky.social zenodo.org/records/1894... Our commentary on Futrell/Mahowald "How linguistics stopped worrying and learned to love the LMs”, forthcoming in BBSzenodo.orgFor robust research, center values, not technologyLarge language models are interesting, but linguistics and cognitive science should be cautious about centering any new technology as a magic bullet. Doing so reinforces the historically “narrow focus... 13811
Kyle Mahowald @kmahowald.bsky.social · 10/03/2026Looks like a very cool topic and position and team! 010
Reposted by Kyle Mahowaldmicha heilbron @mheilbron.bsky.social · 10/03/2026📢 PhD position in Developmental Language Modelling (PLZ RT) What can human language acquisition teach us about training language models? Join us as a PhD! mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-developmental-language @carorowland.bsky.social @mpi-nl.bsky.social 12935
Kyle Mahowald @kmahowald.bsky.social · 06/03/2026New AI introspection work with Harvey! Came in skeptical the direct access story would hold but found this series of experiments compelling. (Also, for my fellow 2010s-era psycholinguists: come for the AI introspection, stay for the Brysbaert norms.) arxiv.org/abs/2603.05414arxiv.orgDissociating Direct Access from Inference in AI IntrospectionIntrospection is a foundational cognitive ability, but its mechanism is not well understood. Recent work has shown that AI models can introspect. We study their mechanism of introspection, first exten... 1191
Kyle Mahowald @kmahowald.bsky.social · 20/02/2026Tenured! Thanks to UT Linguistics for being an amazing place to work! And to everyone who has helped along the way: it's staggering to think of all the mentors and many collaborators involved in getting to this point. 14921
Reposted by Kyle MahowaldKanishka Misra @kanishka.bsky.social · 27/01/2026“All bears have a property”, “Some bears have a property”, “Bears have a property” are different in terms of how the property is generalized to a specific bear – a great example of how language constrains thought! This holds for kids, adults, and according to our new work, (V)LMs! 🧵 1269
Reposted by Kyle MahowaldMarianne de Heer Kloots @mdhk.net · 17/12/2025'Tis the season to preprint BBS commentaries; I'm happy to share ours too! 🎄✨ The textual basis of current LLMs causes trouble, but linguistically relevant insights *can* be found in systems modelling the more natural form of human spoken language: the speech signal itself. arxiv.org/abs/2512.14506 12810
Reposted by Kyle MahowaldSean Trott @seantrott.bsky.social · 17/12/2025Very excited to announce that I'll be starting as an Assistant Professor in the Psychology department at Rutgers University-Newark in January 2026! 272
Reposted by Kyle MahowaldGary Lupyan @glupyan.bsky.social · 16/12/2025My commentary on @futrell.bsky.social & @kmahowald.bsky.social excellent forthcoming BBS paper "How Linguistics Learned to Stop Worrying and Love the Language Models". arxiv.org/abs/2512.12447 Have a read. It's 🌶️arxiv.orgLarge language models have learned to use languageAcknowledging that large language models have learned to use language can open doors to breakthrough language science. Achieving these breakthroughs may require abandoning some long-held ideas about h... 3312
Reposted by Kyle MahowaldBrian Weatherson @bweatherson.bsky.social · 15/12/2025There have also been threads from Imprint authors on their papers including this from @rkubala.bsky.social... 101
Reposted by Kyle MahowaldSasha Boguraev @sashaboguraev.bsky.social · 21/11/2025We are accepting submissions for the 25th edition of the Texas Linguistics Society (TLS), a UT Austin grad-student ran Linguistics conference! The conference will run from February 20 - 21, 2026 in Austin. Abstract Deadline: December 17 Notification: January 15 132
Kyle Mahowald @kmahowald.bsky.social · 10/11/2025A confounding thing for the linguistics of LMs: the best way to assess their grammatical ability is string probability. Yet string probability and grammaticality are famously not the same! Really excited to have this out, where we give a formal account, w/ experiments, of how to make sense of that! 1111