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Dan Liebling 🏳️‍🌈

@liebling.org

AI for science, HCI+AI research, #nlproc leading w/empathy @ Google Research https://liebling.org Caltech, University of Washington, Microsoft Research alum

431 Posts197 Follower185 Folgt
Cat Hicks@grimalkina.bsky.social · last wk.

SEATTLE friends: Cat-in-real-life alert! I am in Seattle this week and decided to host a small (limited spots) Psychology of Software Teams happy hour this thursday July 30th, 4-6pm. RSVP here for location & to secure a spot: luma.com/lxcmtn68

The Psychology of Software Teams: Seattle happy hour edition · Luma

Let's talk about being more human in tech! Join a small group for a happy hour meetup talking about getting better psychology in our software and technical…

luma.com

Cabel Sasser@cabel.panic.com · last wk.

the temu app will be studied for generations. i opened the app. here’s my unedited, nearly two-minute launch sequence. i was just searching for a bookshelf

Ben Williamson@benpatrickwill.bsky.social · 3w ago

The anatomy of an AI-supported academic article is becoming more apparent. I desk reviewed ~70 manuscripts this week for our journal. Reckon 20ish had significant AI assistance. On top of hundreds of others recently I'm starting to see patterns. Are other editors are seeing the same or similar? 1/

Dr Naomi Scott@drnaomiscott.bsky.social · last mo.

A lot of media coverage of the ‘AI’ reading of the Herculaneum scrolls really fails to understand what’s happened here. There’s no language processing happening, the AI/ML is not trained on a corpus of texts or language. It can detect ink to see shapes. HUMAN EXPERTS are then transcribing the text.

A screenshot from here: https://www.ox.ac.uk/news/2025-02-07-inside-herculaneum-scroll-seen-first-time-almost-2000-years It explains that the machine learning involves only the detection of ink
yvesfrtl.bsky.social@yvesfrtl.bsky.social · last mo.

📚 AI-written stories get attention, but AI-translated literature is quietly shaping how readers experience the author So what gets lost ⁉️ 🤖 AI translation into English is readable and often ‘fine’ ✍️ But human translation is valued more ‼️Both vary in quality BUT AI more, even within a single book

First page of the paper "AI translation of literary texts is ‘fine’, but readers still prefer human translations".
Maria Antoniak@mariaa.bsky.social · last mo.

What are people really doing with chatbots? 👀 Turns out that a lot of them are writing/reading various kinds of fiction, and in particular, they're generating a ton of erotica! What does this mean for the future of reading? Paper: arxiv.org/abs/2606.22748 Web Explorer: ai-fiction-wild.com

Melanie Walsh@mellymeldubs.bsky.social · last mo.

Excited to share this. @neel2112.bsky.social, @mariaa.bsky.social, and I analyzed 500K anonymous ChatGPT convos (shared w/ consent from WildChat) to see if people were generating fiction. We found tons of stories, fanfiction & erotica. Many users iterated on the same stories for days and weeks.

Screenshot of paper abstract that reads: AI FICTION IN THE WILD Neel Gupta Maria Antoniak Melanie Walsh Some professional authors are beginning to use AI tools to help produce their fiction writing. Are readers using AI to generate fiction, too? Drawing on over 500,000 anonymized, English-language ChatGPT-user conversations (Zhao et al.), we find that more than one third of the conversations involve some form of fiction generation—including original stories, roleplay, fanfiction, and erotica. This AI-generated fiction is notably dominated by power users. We identify common fiction generation patterns and profiles among these users, including what we call infinite story demanders, who repeatedly request and revise variations of the same or similar narratives over extended periods of time. We show that users especially gravitate toward fanfiction and erotica, and that they are broadly drawn to generic forms, repetition, immediacy, and niche combinations of story elements. Our findings motivate two theoretical provocations. First, we argue that AI technologies may lead to a shift in the conventional relationship between the author and reader, potentially producing what we call a solipsistic reader-writer, who both generates and consumes fiction within a closed conversational loop, interacting with a machine rather than a human other. Second, we note that LLMs enable interactivity, play, and permutation in ways that are seemingly pleasurable for users, raising questions about where AI will fit into contemporary storytelling and entertainment ecosystems. We situate these developments within broader transformations in literature and media, including self-publishing, fanfiction, and pornography, and suggest that AI-generated fiction shares structural affinities with on-demand, personalized, and repetitive cultural forms.
Eve Fleisig @ FAccT 2026@efleisig.bsky.social · 2mo ago

Remember the backlash against all AI voices being feminine—Siri, Alexa, etc.? Now, companies use a wider range of AI voices with ambiguous names like “alloy” and “shimmer.” Bias solved forever—ha, no. What happens when people hear these supposedly neutral voices?👇

Daniel van Strien@danielvanstrien.bsky.social · 2mo ago

Can the new DiffusionGemma model help fix broken OCR? In theory, denoising tokens in parallel could work better for OCR correction since context is seen upfront? Pointed it at 19th-century newspaper OCR. It corrected better than the autoregressive baseline — at ~8x the speed.

The Transmitter @thetransmitter.bsky.social · 2mo ago

Agentic coding makes it possible to specify a neuroscience model in hours instead of months, writes @briandepasquale.bsky.social. The field risks becoming prolific but shallow—generating models faster than we can generate insights. #neuroskyence www.thetransmitter.org/the-big-pict...

How AI coding is reshaping theoretical neuroscience

Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Neuroscientists weigh in on that tectonic change.

thetransmitter.org