Sam Miller from Artanis: Most AI doesn't work
from The AI Podcast Hosted by Chris Rod Max
Former Bank of England economist turned AI entrepreneur Sam Miller from Artanis shares insights on building trustworthy AI systems and navigating the current AI boom. Drawing parallels between today’s AI landscape and the .com era, Sam discusses why most AI doesn’t actually work, the importance of proper data labeling, and how his unique background in economics and powerlifting led to innovative approaches in AI development. Chapters 21:07 The Importance of Data Labeling in AI 23:52 Core Principles of Building Effective AI 25:57 The Evolution of AI Labeling Tasks 29:26 Defining Policy in AI Labeling 31:15 Artanis: Building Trustworthy AI Products 33:27 Current State of AI Market 36:34 Policy Implementation in Medical AI 40:14 Understanding Investor Dynamics 43:42 The Importance of Truth in Business 44:57 Future Prospects of AI in Everyday Life Key Topics: - The transition from economics to AI entrepreneurship - Why most current AI systems don’t actually work - The importance of policy in AI development - Parallels between AI and the .com bubble - Insights on pitching to VCs Follow Chris Rod Max: Chris Wang: https://linkedin.com/in/christinewang0/ Rod Rivera: https://linkedin.com/in/rodriveracom/ Max Tee: https://linkedin.com/in/maxsontjy/ Follow on X: https://x.com/chrisrodmax Follow on Instagram: https://instagram.com/chrisrodmax Follow on LinkedIn: https://linkedin.com/company/chrisrodmax Subscribe to the newsletter: https://chrisrodmax.com #chrisrodmax #ai #technews
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