More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers (w/ Jacob Steinhardt)

More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers (w/ Jacob Steinhardt)

Sep 15, 2022
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#ai #interview #research Jacob Steinhardt believes that future AI systems will be qualitatively different than the ones we know currently. We talk about how emergence happens when scaling up, what implications that has on AI Safety, and why thought experiments like the Paperclip Maximizer might be more useful than most people think. OUTLINE: 0:00 Introduction 1:10 Start of Interview 2:10 Blog posts series 3:56 More Is Different for AI (Blog Post) 7:40 Do you think this emergence is mainly a property from the interaction of things? 9:17 How does phase transition or scaling-up play into AI and Machine Learning? 12:10 GPT-3 as an example of qualitative difference in scaling up 14:08 GPT-3 as an emergent phenomenon in context learning 15:58 Brief introduction of different viewpoints on the future of AI and its alignment 18:51 How does the phenomenon of emergence play into this game between the Engineering and the Philosophy viewpoint? 22:41 Paperclip Maximizer on AI safety and alignment 31:37 Thought Experiments 37:34 Imitative Deception 39:30 TruthfulQA: Measuring How Models Mimic Human Falsehoods (Paper) 42:24 ML Systems Will Have Weird Failure Models (Blog Post) 51:10 Is there any work to get a system to be deceptive? 54:37 Empirical Findings Generalize Surprisingly Far (Blog Post) 1:00:18 What would you recommend to guarantee better AI alignment or safety? 1:05:13 Remarks References: https://bounded-regret.ghost.io/more-is-different-for-ai/ https://docs.google.com/document/d/1FbTuRvC4TFWzGYerTKpBU7FJlyvjeOvVYF2uYNFSlOc/edit#heading=h.n1wk9bxo847o Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ykilcher.com/discord BitChute: https://www.bitchute.com/channel/yannic-kilcher LinkedIn: https://www.linkedin.com/in/ykilcher BiliBili: https://space.bilibili.com/2017636191 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannickilcher Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

0:00 Introduction 1:10 Start of Interview 2:10 Blog posts series 3:56 More Is Different for AI (Blog Post) 7:40 Do you think this emergence is mainly a property from the interaction of things? 9:17 How does phase transition or scaling-up play into AI and Machine Learning? 12:10 GPT-3 as an example of qualitative difference in scaling up 14:08 GPT-3 as an emergent phenomenon in context learning 15:58 Brief introduction of different viewpoints on the future of AI and its alignment 18:51 How does the phenomenon of emergence play into this game between the Engineering and the Philosophy viewpoint? 22:41 Paperclip Maximizer on AI safety and alignment 31:37 Thought Experiments 37:34 Imitative Deception 39:30 TruthfulQA: Measuring How Models Mimic Human Falsehoods (Paper) 42:24 ML Systems Will Have Weird Failure Models (Blog Post) 51:10 Is there any work to get a system to be deceptive? 54:37 Empirical Findings Generalize Surprisingly Far (Blog Post) 1:00:18 What would you recommend to guarantee better AI alignment or safety? 1:05:13 Remarks
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