Jenna Russell

@jennarussell.bsky.social

CS PhD Student @ UMD Undergrad @ Cornell https://jenna-russell.github.io/

Would you realize if the book you were reading was AI? What if it was humanized to remove AI-speak? We find that even without using stylistic cues (e.g., word choice or sentence structure) narrative choices alone give AI fiction away!

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AI is already at work in American newsrooms. We examine 186k articles published this summer and find that ~9% are either fully or partially AI-generated, usually without readers having any idea. Here's what we learned about how AI is influencing local and national journalism:

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🤔 What if you gave an LLM thousands of random human-written paragraphs and told it to write something new -- while copying 90% of its output from those texts? 🧟 You get what we call a Frankentext! 💡 Frankentexts are surprisingly coherent and tough for AI detectors to flag.

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There is a quasi-religion in Silicon Valley that views AI as godlike. This faith has always been parallel to Evangelical Christianity: salvation (transhumanism), the rapture (the technological singularity), and demons (Roko's Basilisk) Lately the AI faith has fully fused with Christian Nationalism.

Introducing 🐻 BEARCUBS 🐻, a “small but mighty” dataset of 111 QA pairs designed to assess computer-using web agents in multimodal interactions on the live web! ✅ Humans achieve 85% accuracy ❌ OpenAI Operator: 24% ❌ Anthropic Computer Use: 14% ❌ Convergence AI Proxy: 13%

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Is the needle-in-a-haystack test still meaningful given the giant green heatmaps in modern LLM papers? We create ONERULER 💍, a multilingual long-context benchmark that allows for nonexistent needles. Turns out NIAH isn't so easy after all! Our analysis across 26 languages 🧵👇

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⚠️Current methods for generating instruction-following data fall short for long-range reasoning tasks like narrative claim verification. We present CLIPPER ✂️, a compression-based pipeline that produces grounded instructions for ~$0.5 each, 34x cheaper than human annotations.

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People often claim they know when ChatGPT wrote something, but are they as accurate as they think? Turns out that while general population is unreliable, those who frequently use ChatGPT for writing tasks can spot even "humanized" AI-generated text with near-perfect accuracy 🎯

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