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Empirical Findings Generalize Surprisingly Far Blog Post
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Classroom Contents
More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers
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- 1 Introduction
- 2 Start of Interview
- 3 Blog posts series
- 4 More Is Different for AI Blog Post
- 5 Do you think this emergence is mainly a property from the interaction of things?
- 6 How does phase transition or scaling-up play into AI and Machine Learning?
- 7 GPT-3 as an example of qualitative difference in scaling up
- 8 GPT-3 as an emergent phenomenon in context learning
- 9 Brief introduction of different viewpoints on the future of AI and its alignment
- 10 How does the phenomenon of emergence play into this game between the Engineering and the Philosophy viewpoint?
- 11 Paperclip Maximizer on AI safety and alignment
- 12 Thought Experiments
- 13 Imitative Deception
- 14 TruthfulQA: Measuring How Models Mimic Human Falsehoods Paper
- 15 ML Systems Will Have Weird Failure Models Blog Post
- 16 Is there any work to get a system to be deceptive?
- 17 Empirical Findings Generalize Surprisingly Far Blog Post
- 18 What would you recommend to guarantee better AI alignment or safety?
- 19 Remarks
