Startup uses weaker model to fix AI errors

Startup Probably raised $9m in seed funding from a16z and Accel to catch AI factual errors before they reach users. The tool runs a deterministic validator against actual data after the model's first pass. Founder Peter Elias says a weaker model with better harness engineering can achieve 99.99% accuracy on local hardware.