Latest news (Page 7)

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Social Learning

On a surface level, AI might seem like the perfect solution to the challenges of social learning. But is this really true? Is it actually what we want?

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AI & Scientific Discovery

In science, traditional human search strategies are like wandering through a wilderness with limited visibility, relying on intuition and serendipity. AI, in contrast, can take in the whole landscape, quickly and effectively exploring the vast range of possible combinations.

Reward-Free Curricula for Training Robust World Models

Agentic AI and Self-Driven Exploration

New research on developing AI that builds robust world models shows an AI's ability to seek out surprise, motivation, and novelty, enabling it to navigate and understand the complexities of the world through self-driven exploration rather than just following predetermined reward pathways.

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AI, Intimacy, and Transcendence

Context is everything—whom you're with, where you're going, and why. Machines currently lack the ability to understand this context, but generative AI, especially modern large language models, hold the promise of changing this limitation.

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