14 Oct 2025
1h 31m

Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

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The a16z Show

In this episode of the a16z Podcast, Nathan Labenz of the Cognitive Revolution joins the host to discuss the question of whether AI innovation is slowing down. They address arguments suggesting a slowdown, such as students using AI for laziness and claims that GPT-5 isn't a significant improvement over GPT-4. Nathan argues that AI capabilities are still advancing, highlighting improvements in reasoning, math, scientific discovery, and multimodal systems. They explore the impact of extended reasoning, the Google AI co-scientist, and the implications of these advancements on jobs and the broader economy. The conversation also covers the role of code, the potential for automated AI researchers, the state of AI agents, and the influence of Chinese open-source models, ultimately emphasizing the need for a positive vision for the future and broader participation in shaping AI's development.

Outlines

Part 1: Introduction and Model Evolution

Part 2: Productivity, Jobs, and Recursive Improvement

Part 3: Modalities, Robotics, and Agent Behavior

Part 4: Open Source, Geopolitics, and Future Outlook

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