58 years ago, Larry Roberts presented his idea for an "ARPANet" for connecting multiple computers together across the United States. Full paper: https://
shorturl.at/6uMNq
@mit_csail
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ARPANet: 58 Years of Computer Network Innovation
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Alan Turing’s Seminal Paper Born Seventy-Six Years Ago
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The Turing Test was born #otd in 1950 w/Alan Turing’s seminal paper "Computing Machinery and Intelligence." https://
bit.ly/2Yiby9V -
Software Development: Making Things Worse While Fixing Them
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In German, the word "verschlimmbessern" means "to make something worse while trying to repairing it." In English, we call that "software development."
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LLMs Shaping Politics: Comparing Models with Real-World Polls
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The team envisions comparing model outputs w/real-world polls, expanding studies to other democracies, examining newer reasoning or "thinking" models, & exploring downstream effects on users. For now, the dataset helps us understand how LLMs are shaping modern political
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LLM Election Data 2024 Dataset Released by Researchers
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Authors: @cen_sarah
, @andrew_ilyas
, Hedi Driss, Charlotte Park, @aspenkhopkins
, @charapod
, & @aleks_madry Data: https://
huggingface.co/datasets/sarah
cen/llm-election-data-2024
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LLMs Political Candidate Trait Association Patterns
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Other fascinating findings: – LLMs exhibit strong associations between candidates & traits, like "competent" & "temperamental." When Biden dropped out, words like "charismatic" & "compassionate" moved to Harris, while "competent" & "trustworthy" moved to Trump. – GPT-4 &
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GPT-4o Political Bias: Model Predictions Skewed Trump Harris Supporters
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Also, models often predicted highly variable responses for Trump, Harris, & Biden supporters on whether life would be better for the next generation of Americans. GPT-4o’s predictions were skewed. Harris supporters were predicted to be more optimistic, while Trump supporters
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LLM Behavior During 2024 US Election: Stability and Contradictions
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The dataset presents a multidimensional view of LLM behavior that captures both stability & change during the first major US election since LLMs became mainstream. It essentially lets you watch these models think, stumble, & sometimes contradict themselves during the 2024
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MIT team releases 16M LLM responses dataset from 2024
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The MIT CSAIL, Sloan, & LIDS team collected each LLM’s responses to their carefully crafted prompts from July to November 2024. They generated a dataset of over 16M time-stamped responses from LLMs, answering questions about topics such as candidate traits, election issues, &
