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AI Summary
- Goodfire converts mechanistic interpretability from 'peeking inside models' into production workflow via APIs and enterprise deployments, raising $150M Series B at $1.25B valuation
- Core bet: AI lifecycle broken because only reliable control is data; post-training through RLHF/fine-tune hopes models absorb right behaviors while absorbing wrong ones silently
- Solution is bi-directional human-model interface to read internals, edit surgically, and eventually use interpretability during training so customization isn't trapped in post-hoc supervision