Scaling and the Road to Human-Level AI | Anthropic Co-founder Jared Kaplan
Jared Kaplan on June 16th, 2025 at AI Startup School in San Francisco.
Jared Kaplan started out as a theoretical physicist chasing questions about the universe. Then he helped uncover one of AI’s most surprising truths: that intelligence scales in a predictable, almost physical way.
That insight became foundational to the modern era of large language models—and led him to co-found Anthropic.
In this talk, he walks through how that discovery reshaped the path to human-level AI, what it means for future models like Claude, and why even the dumbest questions can lead to the biggest breakthroug…
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Chapters (14)
0:17
From Physics to AI
1:41
Initial Skepticism and Shift to AI
2:12
AI Training Phases
2:32
Pre-Training
3:16
Reinforcement Learning
4:19
Scaling Laws in Training
8:19
Unlocking AI Capabilities
11:27
Organizational Knowledge and Memory
12:19
Oversight and Nuanced Tasks
13:38
Preparing for the Future
15:48
Claude 4 and Beyond
21:18
Human-AI Collaboration
29:50
Scaling Laws and Compute Efficiency
35:26
Audience Q&A
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