Daniela and Dario Amodei join us to discuss Anthropic: a new AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Topics discussed in this episode include:
-Anthropic's mission and research strategy
-Recent research and papers by Anthropic
-Anthropic's structure as a "public benefit corporation"
-Career opportunities
You can find the page for the podcast here: https://futureoflife.org/2022/03/04/daniela-and-dario-amodei-on-anthropic/
Watch the video version of this episode here: https://www.youtube.com/watch?v=uAA6PZkek4A
Careers at Anthropic: https://www.anthropic.com/#careers
Anthropic's Transformer Circuits research: https://transformer-circuits.pub/
Follow Anthropic on Twitter: https://twitter.com/AnthropicAI
microCOVID Project: https://www.microcovid.org/
Follow Lucas on Twitter: https://twitter.com/lucasfmperry
Have any feedback about the podcast? You can share your thoughts here:
www.surveymonkey.com/r/DRBFZCT
Timestamps:
0:00 Intro
2:44 What was the intention behind forming Anthropic?
6:28 Do the founders of Anthropic share a similar view on AI?
7:55 What is Anthropic's focused research bet?
11:10 Does AI existential safety fit into Anthropic's work and thinking?
14:14 Examples of AI models today that have properties relevant to future AI existential safety
16:12 Why work on large scale models?
20:02 What does it mean for a model to lie?
22:44 Safety concerns around the open-endedness of large models
29:01 How does safety work fit into race dynamics to more and more powerful AI?
36:16 Anthropic's mission and how it fits into AI alignment
38:40 Why explore large models for AI safety and scaling to more intelligent systems?
43:24 Is Anthropic's research strategy a form of prosaic alignment?
46:22 Anthropic's recent research and papers
49:52 How difficult is it to interpret current AI models?
52:40 Anthropic's research on alignment and societal impact
55:35 Why did you decide to release tools and videos alongside your interpretability research
1:01:04 What is it like working with your sibling?
1:05:33 Inspiration around creating Anthropic
1:12:40 Is there an upward bound on capability gains from scaling current models?
1:18:00 Why is it unlikely that continuously increasing the number of parameters on models will lead to AGI?
1:21:10 Bootstrapping models
1:22:26 How does Anthropic see itself as positioned in the AI safety space?
1:25:35 What does being a public benefit corporation mean for Anthropic?
1:30:55 Anthropic's perspective on windfall profits from powerful AI systems
1:34:07 Issues with current AI systems and their relationship with long-term safety concerns
1:39:30 Anthropic's plan to communicate it's work to technical researchers and policy makers
1:41:28 AI evaluations and monitoring
1:42:50 AI governance
1:45:12 Careers at Anthropic
1:48:30 What it's like working at Anthropic
1:52:48 Why hire people of a wide variety of technical backgrounds?
1:54:33 What's a future you're excited about or hopeful for?
1:59:42 Where to find and follow Anthropic
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