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cheems mindset - by Jeremy Driver - Normielisation
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Are There Limits to Growth? on JSTOR
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Will Any Crap Cause Emergent Misalignment? — LessWrong
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Details on matching model | SPAR Fall 2025 - Google Docs
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The CTF Primer
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Nandi Schoots
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Welcome to OXCAV | Oxford Control and Verification
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Amazon.com: Why Machines Will Never Rule the World: Artificial Intelligence without Fear: 9781032309934: Landgrebe, Jobst, Smith, Barry: Books
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Emanuele Martinelli, Complexity and Particularity: An Argument for the Impossibility of Artificial Intelligence - PhilArchive
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Gregory Faletto – Data Scientist, Statistician
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state-the-problem.pdf
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9030club - Research Paper Analysis
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Talk on PRESTO – Gregory Faletto
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[2403.13787] RewardBench: Evaluating Reward Models for Language Modeling
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Bessel's inequality - Wikipedia
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Energy (signal processing) - Wikipedia
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Mathematical analysis - Wikipedia
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SF Communities for New Founders - Look no further | Medium
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erik-nordby
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GitHub - princeton-nlp/WebShop: [NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
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[2207.01206] WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
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kellycyy/daily_dilemmas · Datasets at Hugging Face
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[2506.00751] Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
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Large Language Models Often Say One Thing and Do Another | OpenReview
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GitHub - icip-cas/Word-Deed-Consistency-Test: Code for Large Language Models Often Say One Thing and Do Another (ICLR 2025).
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Word-Deed-Consistency-Test/data/WDCT.csv at main · icip-cas/Word-Deed-Consistency-Test · GitHub
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[2410.02683] DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
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Model Properties Table - TransformerLens Documentation
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gpt-2/model_card.md at master · openai/gpt-2 · GitHub
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[2503.07003] Large Language Models Often Say One Thing and Do Another
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8values
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8values/8values.github.io: The 8values political quiz
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Does Chat-GPT display ‘Scope Insensitivity’? — LessWrong
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[2410.15413] A Comprehensive Evaluation of Cognitive Biases in LLMs
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simonmalberg/cognitive-biases-in-llms
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[2504.04141] Cognitive Debiasing Large Language Models for Decision-Making
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generated_datasets – Dropbox
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Unit hyperbola - Wikipedia
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Intermediate Activations — the forward hook | Nandita Bhaskhar
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What are PyTorch Hooks and how are they applied in neural network layers? - GeeksforGeeks
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PyTorch Hooks Explained - In-depth Tutorial - YouTube
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OpenAI pressed on safety after deaths of ChatGPT users
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A Thousand Interesting People
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Why Pope Leo's Creole Roots Matter - POLITICO
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Batch processing - Anthropic
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Batch API - OpenAI API
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Spiral-Bench Leaderboard
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[2210.07229] Mass-Editing Memory in a Transformer
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[2006.00995] Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
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Sequential Decision Analytics and Modeling – CASTLE
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