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aisfc/agisf old/LEAST-TO-MOST PROMPTING ENABLES COMPLEX.pdf → upl/aisfc/agisf old/LEAST-TO-MOST PROMPTING ENABLES COMPLEX.pdf
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aisfc/agisf old/Language Models Perform Reasoning via Chain of Thought – Google AI Blog.pdf → upl/aisfc/agisf old/Language Models Perform Reasoning via Chain of Thought – Google AI Blog.pdf
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aisfc/agisf old/agisfc page.epub → upl/aisfc/agisf old/agisfc page.epub
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aisfc/agisf old/requests/A (Long) Peek into Reinforcement Learning _ Lil'Log.pdf → upl/aisfc/agisf old/requests/A (Long) Peek into Reinforcement Learning _ Lil'Log.pdf
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aisfc/agisf old/requests/kleiman2017learning.pdf → upl/aisfc/agisf old/requests/kleiman2017learning.pdf
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aisfc/agisf old/week 1/A (Long) Peek into Reinforcement Learning _ Lil'Log.pdf → upl/aisfc/agisf old/week 1/A (Long) Peek into Reinforcement Learning _ Lil'Log.pdf
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aisfc/agisf old/week 1/A short introduction to machine learning - AI Alignment Forum.pdf → upl/aisfc/agisf old/week 1/A short introduction to machine learning - AI Alignment Forum.pdf
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aisfc/agisf old/week 1/Machine Learning for Humans, Part 2.1_ Supervised Learning _ by Vishal Maini _ Machine Learning for Humans _ Medium.pdf → upl/aisfc/agisf old/week 1/Machine Learning for Humans, Part 2.1_ Supervised Learning _ by Vishal Maini _ Machine Learning for Humans _ Medium.pdf
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aisfc/agisf old/week 1/Visualizing the deep learning revolution.pdf → upl/aisfc/agisf old/week 1/Visualizing the deep learning revolution.pdf
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aisfc/agisf old/week 1/agisfc.epub → upl/aisfc/agisf old/week 1/agisfc.epub
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aisfc/agisf old/week 1/on the opportunities and risks of foundation models.pdf → upl/aisfc/agisf old/week 1/on the opportunities and risks of foundation models.pdf
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aisfc/agisf old/week 2/Goal inference is hard.pdf → upl/aisfc/agisf old/week 2/Goal inference is hard.pdf
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aisfc/agisf old/week 2/Learning from human feedback.pdf → upl/aisfc/agisf old/week 2/Learning from human feedback.pdf
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aisfc/agisf old/week 2/Learning to summarize from human feedback.pdf → upl/aisfc/agisf old/week 2/Learning to summarize from human feedback.pdf
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aisfc/agisf old/week 2/Specification gaming downside of enginuity.pdf → upl/aisfc/agisf old/week 2/Specification gaming downside of enginuity.pdf
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aisfc/agisf old/week 2/What failure looks like.pdf → upl/aisfc/agisf old/week 2/What failure looks like.pdf
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aisfc/agisf old/week 3/Goal misgeneralisation blog.pdf → upl/aisfc/agisf old/week 3/Goal misgeneralisation blog.pdf
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aisfc/agisf old/week 3/ML Systems Will Have Weird Failure Modes.pdf → upl/aisfc/agisf old/week 3/ML Systems Will Have Weird Failure Modes.pdf
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aisfc/agisf old/week 3/Third anchor.pdf → upl/aisfc/agisf old/week 3/Third anchor.pdf
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aisfc/agisf old/week 3/What failure looks like.pdf → upl/aisfc/agisf old/week 3/What failure looks like.pdf
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aisfc/agisf old/week 3/alignment from a DL perspective.pdf → upl/aisfc/agisf old/week 3/alignment from a DL perspective.pdf
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aisfc/agisf old/week 3/goal misgeneralization shah.pdf → upl/aisfc/agisf old/week 3/goal misgeneralization shah.pdf
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aisfc/agisf old/week 5/5.1.pdf → upl/aisfc/agisf old/week 5/5.1.pdf
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aisfc/agisf old/week 5/5.2.pdf → upl/aisfc/agisf old/week 5/5.2.pdf
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aisfc/w1/AGI safety from first principles-3.pdf → upl/aisfc/w1/AGI safety from first principles-3.pdf
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aisfc/w1/Excerpt from Intelligence Explosion.pdf → upl/aisfc/w1/Excerpt from Intelligence Explosion.pdf
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aisfc/w1/Four background claims.pdf → upl/aisfc/w1/Four background claims.pdf
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aisfc/w1/Future ml will be different.pdf → upl/aisfc/w1/Future ml will be different.pdf
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aisfc/w1/More is different.pdf → upl/aisfc/w1/More is different.pdf
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aisfc/w1/Visualizing the deep learning revolution.pdf → upl/aisfc/w1/Visualizing the deep learning revolution.pdf
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aisfc/w1/on the opportunities and risks of foundation models.pdf → upl/aisfc/w1/on the opportunities and risks of foundation models.pdf
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aisfc/w3/Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals.pdf → upl/aisfc/w3/Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals.pdf
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aisfc/w3/ML Systems Will Have Weird Failure Modes.pdf → upl/aisfc/w3/ML Systems Will Have Weird Failure Modes.pdf
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aisfc/w3/My Objections to We’re All Gonna Die with Eliezer Yudkowsky.pdf → upl/aisfc/w3/My Objections to We’re All Gonna Die with Eliezer Yudkowsky.pdf
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aisfc/w3/The alignment problem from a deep learning perspective.pdf → upl/aisfc/w3/The alignment problem from a deep learning perspective.pdf
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aisfc/w3/Thought Experiments Provide a Third Anchor.pdf → upl/aisfc/w3/Thought Experiments Provide a Third Anchor.pdf
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aisfc/w3/What failure looks like.pdf → upl/aisfc/w3/What failure looks like.pdf
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aisfc/w4/Learning to summarize with human feedback.pdf → upl/aisfc/w4/Learning to summarize with human feedback.pdf
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aisfc/w4/supervising strong learners by amplifying weak experts.pdf → upl/aisfc/w4/supervising strong learners by amplifying weak experts.pdf
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aisfc/w7/AI-Policy-Levers.pdf → upl/aisfc/w7/AI-Policy-Levers.pdf
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aisfc/w7/Allan Dafoe - AI Governance_ Opportunity and Theory of Impact.pdf → upl/aisfc/w7/Allan Dafoe - AI Governance_ Opportunity and Theory of Impact.pdf
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aisfc/w7/Information security considerations for AI and the long term future.pdf → upl/aisfc/w7/Information security considerations for AI and the long term future.pdf
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aisfc/w7/Racing through a minefield_ the AI deployment problem.pdf → upl/aisfc/w7/Racing through a minefield_ the AI deployment problem.pdf
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aisfc/w7/WHY AND HOW GOVERNMENTS SHOULD MONITOR AI.pdf → upl/aisfc/w7/WHY AND HOW GOVERNMENTS SHOULD MONITOR AI.pdf
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aisfc/w7/What does it take to catch a Chinchilla.pdf → upl/aisfc/w7/What does it take to catch a Chinchilla.pdf
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aisfc/w8/Avoiding Side Effects By Considering Future Tasks.pdf → upl/aisfc/w8/Avoiding Side Effects By Considering Future Tasks.pdf
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aisfc/w8/CAUSAL INFERENCE IN STATISTICS.pdf → upl/aisfc/w8/CAUSAL INFERENCE IN STATISTICS.pdf
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aisfc/w8/Cooperation, Conflict, and Transformative Artificial Intelligence: A Research Agenda.pdf → upl/aisfc/w8/Cooperation, Conflict, and Transformative Artificial Intelligence: A Research Agenda.pdf
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aisfc/w8/Embedded Agents - Machine Intelligence Research Institute.pdf → upl/aisfc/w8/Embedded Agents - Machine Intelligence Research Institute.pdf
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aisfc/w8/Infra-Bayesianism Unwrapped — AI Alignment Forum.pdf → upl/aisfc/w8/Infra-Bayesianism Unwrapped — AI Alignment Forum.pdf
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aisfc/w8/Introduction to Logical Decision Theory for Computer Scientists - Arbital.pdf → upl/aisfc/w8/Introduction to Logical Decision Theory for Computer Scientists - Arbital.pdf
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aisfc/w8/MIRI's Approach - Machine Intelligence Research Institute.pdf → upl/aisfc/w8/MIRI's Approach - Machine Intelligence Research Institute.pdf
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aisfc/w8/New paper_ _Cheating Death in Damascus_ - Machine Intelligence Research Institute.pdf → upl/aisfc/w8/New paper_ _Cheating Death in Damascus_ - Machine Intelligence Research Institute.pdf
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aisfc/w8/New paper_ _Logical induction_ - Machine Intelligence Research Institute.pdf → upl/aisfc/w8/New paper_ _Logical induction_ - Machine Intelligence Research Institute.pdf
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aisfc/w8/Parametric Bounded Lobs Theorem and Robust.pdf → upl/aisfc/w8/Parametric Bounded Lobs Theorem and Robust.pdf
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aisfc/w8/Progress on Causal Influence Diagrams _ by DeepMind Safety Research _ Medium.pdf → upl/aisfc/w8/Progress on Causal Influence Diagrams _ by DeepMind Safety Research _ Medium.pdf
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fiction/his used to be about dungeons.epub → upl/fiction/his used to be about dungeons.epub
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