Opening AI's Black Box: Understanding Neural Networks Through Interpretability
The Neuron ● Covered by 4 sources
Goodfire, founded by Eric Ho, develops tools that use AI to interpret the internal structures and mechanisms of neural networks. The company's approach extracts and analyzes hidden representations related to language, style, arithmetic, biology, and model uncertainty. Better interpretability of neural networks could improve AI safety, reliability, and design processes.
Why it matters
Corey Noles and Grant Harvey sit down with Eric Ho, Cofounder and CEO of Goodfire, to explore what is actually happening inside neural networks and why understanding hidden structures could make AI safer, more reliable, and easier to design. Goodfire is building tools that use AI to interpret AI, extracting structures representing language, style, arithmetic, biology, and the model's own uncertainty.
