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More Is Different for AI - Scaling Up, Emergence, and Paperclip Maximizers (w/ Jacob Steinhardt)
Manage episode 341262937 series 2974171
#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:
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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
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177 에피소드
Manage episode 341262937 series 2974171
#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
177 에피소드
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