Goodfire Raises $7M to Break Open the Black Box of Generative AI Models

▤ Summary

Mechanistic interpretability is the study of how AI models reason and make decisions, aiming to understand their internal workings at a detailed level. Goodfires product is the first to apply interpretability research for practical understanding and editing of AI model behavior. Eric Ho, CEO, previously founded RippleMatch, a Series B AI recruiting startup backed by Goldman Sachs. Dan Balsam, CTO, was the founding engineer at RippleMatch, where he led the core platform and machine learning teams to scale the product to millions of active users. We build cutting-edge tools that enable developers to understand, edit, and debug AI models.

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