Truth is an everchanging consensus. Real-time world models need continuous data. Networks such as Mercor already process millions of dollars worth of data every single day. Gartner forecasts AI-data spend growing from $3.1B in 2026 to $6.5B in 2027. (gartner.com/en/newsroom/pres…) Arena AI recently raised $200 Million at a $3.1 Billion dollar evaluation. (arena.ai/blog/series-b) As demand continues to grow, the need for Permissionless Evaluation Markets becomes obvious. Stale incentive programs, messy contracts, and the absence of gamification leads to data degradation and burnout. That is the thesis of @PromptDuel. Permissionless Evaluation Markets. We have experience from inside frontier labs, and are frontrunning this bottleneck. @PromptDuel turns comparisons and evaluations into markets. Preference data is available for labs, model selection for developers, and evaluations agents performing entire workflows. Simple public duels are our starting point. We recently implemented hidden model names to reduce bias and strengthen the data further. Next monday update: 1. Encrypted ticket markets: private contract, privacy, and recovery tests are passing. 2. Prediction market style duels: buy/sell mechanics. Expect continued updates every Monday until the vision is achieved. Let's Duel.

Know what you hold. Or don't. $REPPO: $4.9M market cap $DUEL : $273K market cap An almost 18× valuation gap between two projects tackling a similar problem: permissionless AI evaluation through economic incentives. Reppo's latest paper proposes economically coordinated AI judges, rewarding independently verified accuracy. PromptDuel takes a different approach: human-driven evaluation markets where participants stake real capital behind their judgments, generating auditable preference data. But $DUEL goes beyond simple AI comparisons: • Tape: Monetizable evaluation data for AI training. • Private AI models: Anonymous evaluations for frontier AI labs. • Verifiable inference & expert credentials: Improving evaluation integrity. • Recursive AI improvement: Connecting evaluation, training and model evolution. $DUEL also has planned revenue-funded buybacks, token burns and API staking requirements, creating potential links between adoption and token demand. These mechanisms are being rolled out, while adoption and revenue potential are still in their early stages. Yet at just ~5.6% of REPPO's valuation, $DUEL looks like an interesting asymmetric opportunity. Same emerging sector. Different approaches. Remarkably different valuations. Is the market overlooking $DUEL? @PromptDuel