16. September 2025 · Notizen anzeigen

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Hansohl Kim: What Is Reinforcement Learning?

Hansohl Kim is an engineer at Anthropic, where he focuses on reinforcement learning & AI safety for models like Claude. With experience spanning computer science, biotech, & machine learning, he brings a unique perspective to the fast-changing world of artificial intelligence.

Listen as Hansohl unpacks the challenges of alignment, the importance of guardrails, & what it takes to design AI systems we can truly trust.

RELATED LINKS:
🌐 Anthropic – https://www.anthropic.com
💼 Hansohl Kim on LinkedIn – linkedin.com/in/hansohl

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IN DIESER FOLGE

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NOTIZEN ANZEIGEN 🔗

00:01:18Journey into AI and Anthropic

00:03:43Moving from Computation to Reinforcement Learning at Anthropic

00:04:54Understanding Reinforcement Learning

00:10:00Practical Implementation of Reinforcement Learning

00:14:11Challenges and Guardrails in AI

00:17:36Reinforcement learning is a very blunt approach

00:19:16Better to give lots of feedback

00:21:10Better to give lots of feedback

00:22:10Behaviorism and AI Motivation

00:23:12AI Motivation and Internal Processes

00:29:22Beyond Reinforcement Learning

00:32:04The Rise of AI Agents and Multi-Agent Systems

00:37:16Conclusion and Final Thoughts

TRANSKRIPT 🔗

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Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Amy Jo Kim, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.