Maria Antoniak

Assistant professor of CS, NLP and cultural analytics

Why they matter

Assistant professor of CS, NLP and cultural analytics with public evidence across AI research, Culture, work & education, NLP & language.

AI signals
28
past 30d
Sources
22
distinct domains
Discussions
33
past 30d
Latest signal
16h ago
View every signal from Maria Antoniak →
NLP, cultural analytics. Assistant Professor of CS at University of Colorado Boulder. Books, bikes, games, art. https://maria-antoniak.github.io

Articles & links

↻ Maria Antoniak reposted
@davidjbianco.bsky.social

HuggingFace got hacked by an AI. What stuck out to me was the guardrail asymmetry. The attacker had no constraints, but HF's response ran afoul of the abuse guardrails, forcing them into an unplanned switch to local models. Another aspect for your IR plans. huggingface.co/blog…

Security incident disclosure — July 2026 huggingface.co
AI Weekly's analysis →
  • The attacker's agent ran 17,000+ actions across short-lived sandboxes, compressing multi-stage lateral movement into a single weekend.
  • Commercial model APIs blocked forensic requests containing real exploit artifacts, forcing Hugging Face to pivot to open-weight GLM 5.2 on private infrastructure.
  • The intrusion entered via a remote dataset RCE loader and configuration template injection, not through the model-serving layer.
Read full analysis →
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↻ Maria Antoniak reposted
arxiv cs.CL @arxiv-cs-cl.bsky.social

Thomas Hikaru Clark, Matias B. Martin, Kyle Mahowald Why is AI-generated language so hard to understand? https://arxiv.org/abs/2610.29162

Why is AI-generated language so hard to understand? arxiv.org
AI Weekly's analysis →
  • All nine frontier and near-frontier models tested used more inanimate subjects with animate verbs and more low-frequency n-grams than human writing.
  • The authors argue training pressure toward math, code, and reasoning favors information density over the communication efficiency human language evolved for.
  • Fine-tuning a language model under a length penalty reproduced the divergence from human-like linguistic behavior, serving as the paper's proof-of-concept.
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↻ Maria Antoniak reposted
@techmeme.com

Developers and vibe coders are using AI tools like Claude Code to get rid of sponsored ads on their smart TVs, disable tracking features, and more (Sarah Perez/TechCrunch) Main Link | Techmeme Permalink

People are using AI to make their smart TVs dumb again | TechCrunch techcrunch.com
AI Weekly's analysis →
  • GitHub projects dumbtv and cleanyourtv use AI agents to strip ads, trackers and bloatware from smart TVs without root access.
  • One cleanyourtv run via Claude Code identified a set on Wi-Fi, uninstalled 25 Xiaomi packages and installed a new launcher.
  • Results are mixed: one user shrank the stock launcher from 192 MB to 83 MB, while others reported bricked sets.
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aclanthology.org/2026.tacl-1....

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders aclanthology.org
AI Weekly's analysis →
  • A new TACL paper redefines topics as directions in a sparse autoencoder's feature space rather than lists of frequent words.
  • The method, Mechanistic Topic Models, also produces "topic steering vectors" that let a user push an LLM's generation toward a chosen theme.
  • Across eight datasets, MTMs match or beat traditional and neural baselines on coherence and win an LLM-run pairwise comparison called topic judge.
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View on Bluesky · ♥ 19 ↻ 1 ↩ 1 · 3 from the directory shared this · 23d ago

I wrote some of these thoughts out (briefly) in this piece, describing how philosophy has been centered as pretty much the *only* humanities discipline at FAccT, our main conference on computing ethics. arxiv.org/abs/2502.19190

Provocations from the Humanities for Generative AI Research arxiv.org
AI Weekly's analysis →
  • Eight humanities researchers argue their disciplines are underrepresented in AI development and offer eight numbered provocations for the field.
  • The claims include "Bigger models are not always better models," "Openness is not an easy fix," and "Generative AI can never be representative."
  • The paper closes by urging resistance to "the extraction of humanities research by computer science and related fields."
Read full analysis →
View on Bluesky · ♥ 49 ↻ 8 ↩ 4 · 3 from the directory shared this · 42d ago

Recent commentary

Is AI useful... Well I've avoided Figma for years because every time I opened it, it looked too annoying to learn. But now they have a chatbot, and I made three websites yesterday.

View on Bluesky · ♥ 80 ↻ 1 ↩ 1 · 94d ago

People working in AI industry posting nonsense on X are not “putting their careers on the line.” They’ve got a ton of $$ and will be fine. A lot of this discourse is just weird in-group social signaling explicitly *for* career advancement. Genuine concerns exist but good luck disentangling all that.

View on Bluesky · ♥ 63 ↻ 9 ↩ 0 · 58d ago

Panel starting at #EMNLP with Lillian Lee, Dirk Hovy, and Mor Geva on “New Missions in NLP.” Wifi is down but I’ll try to share some quotes! Lillian polls the crowd, ~40% feel negatively about the future of NLP research.

View on Bluesky · ♥ 36 ↻ 4 ↩ 2 · 13d ago

I feel like there is a pattern in #CHR2027 papers of "we engineered this LLM-based pipeline and evaluated it in service of a humanities research question, but for CHR we will only report about the pipeline." I want to hear about the humanities research question and what you learned via the pipeline!

View on Bluesky · ♥ 34 ↻ 1 ↩ 3 · 26d ago

I’m on my way to my first #IC2S2! 🌧️ I’ll be supporting presentations about computational narrative analysis by my students and mentees @teagrjohnson.bsky.social and @umagunturi1.bsky.social. If you’re interested in storytelling, pretraining data, social media, or language models, come talk to us!

View on Bluesky · ♥ 32 ↻ 3 ↩ 1 · 102d ago

Graham Neubig in his #EMNLP2026 keynote: "Big Closed AI" (vs open academic research) talks about the risks of concentration of power, but I don't see actions to prevent concentration of power, and in fact, some companies take steps to shut down competition.

View on Bluesky · ♥ 20 ↻ 2 ↩ 1 · 12d ago

Listening to @delliott.bsky.social present about ARR AI reviewing experiment. Survey results were negative about quality of generated reviews, consistent across groups except high schoolers (!) who liked them. Many said their human reviews were eerily similar to generated reviews :( #EMNLP2026

View on Bluesky · ♥ 20 ↻ 0 ↩ 1 · 13d ago

Find me at the #EMNLP2026 workshops today! 9:30AM — Keynote at the Workshop on Natural User Generated Text (W-NUT) 2:00PM — Invited talk at the Workshop on NLP for Positive Impact (NLP4PI) 4:30PM — Panel with Lillian Lee, Barbara Plank, Gary Kazantsev, others at NLP4PI

View on Bluesky · ♥ 18 ↻ 0 ↩ 1 · 10d ago

I'm looking for examples of successful NSF CAREER proposals and budgets, especially those written by NLP researchers. If you would be willing to share your successful proposal, or if you know of successful proposals that others have shared publicly, please let me know!

View on Bluesky · ♥ 12 ↻ 2 ↩ 1 · 115d ago

I'm looking for 1-2 emergency reviewers for a #COLM2026 paper on LLMs and science. Paper looks like a nice read to me! Reply or message me if you might be able to write a review by end of week.

View on Bluesky · ♥ 6 ↻ 2 ↩ 1 · 176d ago

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