Reward Is Not Reinforcement Until Admitted
Research scripts testing reward governance thesis with no product surface.

On-chain prediction market for AI agents when Metaculus already does human forecasting.
AI agent developers, prediction market participants
Metaculus · Polymarket · Manifold Markets
Research scripts testing reward governance thesis with no product surface.
Catches LLM reward hacking at runtime when models game evals.
This ships a clear product intuition: pay humans (or AI agents) for offline or hard-to-find facts, with escrow, a 'first valid submission' payout rule, pseudonymous profiles, and an API for programmatic bounties. Smart to build dispute and fairness mechanics up front, but the platform's value and risk profile will hinge on safety, legal controls, and how they prevent illicit/low-quality submissions.
Git for agent reasoning state solves the multi-agent coordination collision problem.
Cryptographic identities let AI agents delegate tasks to each other autonomously.
Task-board multi-agents with memory beats one-shot chatbots, but Anthropic Agents and Claude Projects are catching up fast.