Handshake
3.1K posts

Handshake
@joinHandshake
Building the future workforce of the AI economy 🤝

Does an imperfect verifier break reinforcement learning with verifiable rewards (RLVR)? Turns out it doesn’t! Why does this matter? As the world moves into reinforcement learning in semi-verifiable domains, perfect verifiers don’t exist. We added controlled and LLM-based noise to RLVR reward signals and found that up to 30% noise barely hurts training; performance stays within 4pp of the clean baseline. This research has already impacted how we build reinforcement learning environments at @joinHandshake. For a major benchmark we are launching tomorrow, we hill-climbed the verifier to 88% accuracy—above the 85% human inter-rater agreement—knowing from this research that this is good enough. With @andreas_plesner @guzmanhe













No degree. No safety net. No backup plan. My dad refinanced his house to bet on us. Sleeping in McDonald's parking lots, getting kicked out of Princeton's pool. "Most people overestimate what they can do in one year and underestimate what they can do in ten." Keep Stacking Days mtu.edu/magazine/2026/…























