Skillprint Signal: AI Enhances Human Performance in Games

Skillprint has launched the beta for Skillprint Signal Benchmark. This is the first public benchmark to score how effectively AI models can enhance real human performance. What's interesting is that existing benchmarks measure what a model knows. Signal, however, measures how well a model adapts a live game in real time. The goal is to move a real person toward a target mental state. This could be greater focus, relaxation, or improved cognitive skill. Signal places AI models inside live gameplay experiences with real participants. The model can adjust game parameters in real time towards a defined human outcome. Signal then measures the change in the player's state. It ranks models based on how effectively they achieve that outcome. This system is built on six years of Skillprint research, involving over 500,000 players. It uses a library of more than 1,000 games, quizzes, and simulations. The bottom line is that this benchmark aims to show if AI can genuinely help human beings and enhance their performance.