Robustness in AI Systems

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The chapter focuses on the challenges of ensuring robustness in AI systems. It discusses the absence of a single architecture that is demonstrably robust and explores the concept of open weights and its potential safety issues. The chapter also touches on the limitations of current AI models and the possibility of AI surpassing humans in areas like touch, taste, and smell.

Balaji Srinivasan, investor, former CTO at Coinbase and GP at a16z, and writer of The Network State, joins Nathan to discuss polytheistic AI and AI gods, human-AI symbiosis, how AI will be controlled, and much more. If you need an ecommerce platform, check out our sponsor Shopify: https://shopify.com/cognitive for a $1/month trial period.

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TIMESTAMPS:

(00:00) - Episode Preview

(00:06:07) - Evolution of AI Systems

(00:09:39) - Challenges of AI Robustness

(00:29:54) - Intersection of AI and Politics

(00:52:14) - Regulation

(00:52:44) - Slippery slope of precedent setting

(00:54:00) - Role of AI in political chaos

(00:54:41) - Emergence of decentralized AI

(01:05:39) - AI's future as amplified intelligence

(01:1300) - Polytheistic model of AI

(01:32:00) - Role of AI in Habitat Degradation

(01:33:32) - AI's ability to do differential diagnosis

(01:34:04) - ABC of economic apocalypse: AI, Bitcoin, China

(01:36:00) - Evolution of AI in chess and medicine

(01:38:22) - Difference between AI existential threat and economic disruption

(01:40:19) - Impact of cryptography on public infrastructure

(02:07:40) - Role of tribalism in AI

This show is produced by Turpentine: a network of podcasts, newsletters, and more, covering technology, business, and culture — all from the perspective of industry insiders and experts. We’re launching new shows every week, and we’re looking for industry-leading sponsors — if you think that might be you and your company, email us at erik@turpentine.co.