The Sequence Knowlege #693: A New Series About Interpretability in Foundation Models

What are our best chances to understand AI black boxes ?

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Today we will Discuss:

1. An intro to our series about AI interpretability in foundation models.

2. A review of the famous paper Attention is No Explanation.

💡 AI Concept of the Day: A New Series About Interpretability in Foundation Models

Today, we start a new series about one of hottest trends in AI: interpretability in frontier models.

Frontier models—neural networks with trillions of parameters trained on vast, diverse datasets—have redefined the limits of AI performance. Yet their sheer complexity renders them largely inscrutable, obscuring how they arrive at specific predictions or decisions. Bridging this gap between unparalleled capabilities and human understanding has become imperative for advancing AI safety, accountability, and trust.

Mechanistic Interpretability