| 1 | Constitutional AI Harmlessness from AI Feedback 2024-07-19 |
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| 2 | Illustrating Reinforcement Learning from Human Feedback (RLHF) 2024-07-19 |
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| 3 | Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback 2024-07-19 |
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| 4 | Eliciting Latent Knowledge 2024-06-17 |
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| 5 | Chinchilla’s Wild Implications 2024-06-17 |
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| 6 | Deep Double Descent 2024-06-17 |
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| 7 | Intro to Brain-Like-AGI Safety 2024-06-17 |
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| 8 | Gradient Hacking: Definitions and Examples 2024-06-17 |
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| 9 | An Investigation of Model-Free Planning 2024-06-17 |
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| 10 | Empirical Findings Generalize Surprisingly Far 2024-06-17 |
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AI Safety Fundamentals: Alignment
Listen to resources from the AI Safety Fundamentals: Alignment course!https://aisafetyfundamentals.com/alignment
