Why Training an AI Model is More Like Parenting than Programming (Anthropic engineer reveals all)

Описание: What if I told you that training AI isn't about giving it the right answers—it's about giving it the right rewards? ⭐️⭐️⭐️⭐️⭐️

Recently, I sat down with ​Hansohl Kim​, a reinforcement learning engineer at Anthropic who pulled back the curtain & showed us how AI models actually learn 🎓 to behave the way they do.

While most AI training uses supervised learning (basically: "here's the question, here's the correct answer"), reinforcement learning works more like raising a child. 👶 The model tries something, gets a reward or penalty, & gradually learns "good behavior" looks like—without ever being told the exact answer.

This is how Claude learned its personality.

In this conversation, Hansohl breaks down:

🔹 Why RL is essential for teaching AI systems values, not just facts
🔹 The challenge of getting models to stop doing harmful things
🔹 Whether AI models can actually "lie" or hide what they know
🔹 Why the future of AI isn't smarter models—it's agents that think, plan, & iterate over time

If you've ever wondered what really happens inside companies like Anthropic, or how engineers are trying to make sure AI stays aligned with human values ❤️ as it gets more powerful, this is the conversation for you.

CHAPTERS
00:00 Introduction
00:55 Journey into AI and Anthropic
03:17 From Inference to Reinforcement Learning
04:21 Understanding Reinforcement Learning
11:57 Setting Guardrails in AI
14:09 Anti-rewards are a very blunt approach
16:38 The first training environments were games
17:35 Behaviorism, Motivation & Why Models Can Lie
22:01 Beyond Reinforcement Learning
23:04 The Rise of AI Agents and Multi-Agent Systems
25:17 Conclusion and Final Thoughts

KEY INSIGHTS
🎯 Reinforcement learning focuses on feedback and alignment rather than right-or-wrong answers.
🎯 Designing high-quality environments is as crucial to RL as good data is to supervised learning.
🎯 AI models can display emergent behaviors — including self-correction, concealment, and strategic reasoning.

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📌 RELATED LINKS
🌐 Anthropic – https://www.anthropic.com

💼 Hansohl Kim on LinkedIn –   / hansohlkim  

#AI #reinforcementlearning #anthropic #artificialintelligence #machinelearning #gamethinking

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