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Google Eats Rocks + A Win for A.I. Interpretability + Safety Vibe Check
May 31, 2024
01:19:20
Snipd AI
Josh Batson, a researcher at the A.I. startup Anthropic, discusses how an experiment with chatbot Claude and the Golden Gate Bridge represents a breakthrough in understanding large language models. The podcast also covers recent developments in A.I. safety, including Google's A.I. controversies and OpenAI's new voice assistant being revoked for safety reasons.
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Quick takeaways
- Understanding how large language models organize concepts through dictionary learning is crucial for interpreting AI behavior.
- Large language models demonstrate strong analogical abilities by representing nuanced conceptual associations, showcasing a deep understanding of multifaceted ideas.
Deep dives
Understanding the Inner Workings of Large Language Models
By developing a method called dictionary learning, researchers unlocked patterns in large language models, revealing how the models organize concepts like entities, styles of poetry, and responses to questions. These patterns helped identify features corresponding to real-world concepts, showcasing an improved understanding of how the models think.
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