Mark and Siam join Max (Score / Subnet 44) for an update on Score’s shift from “just sports” to a broad computer-vision platform: they’ve built a new incentive mechanism that uses VLMs to generate pseudo-ground-truth and run twin tracks—an open, verifiable Hugging Face competition and a private client track—driving rapid gains toward a football “gold line” benchmark. Score’s first featured client, cricket strategist Nathan Leamon (Cards), explains how Score will replicate/extend Hawkeye-style ball-tracking from standard broadcast footage and power decisions from scouting/auctions through in-game tactics. Max outlines real-world uses beyond sport (petrol forecourts, retail, fruit grading, car washes), a 60-day trial motion to win enterprise data and contracts, and the upcoming “vision GPT” product where an agent reads video, recommends/dispatches models as subnet tasks, and ties revenue to ALPHA via a burn-and-mint “scoronomics” loop. The team notes a fresh DSV/Astrid-127 OTC with Score, and—crucially—Score’s first recurring five-figure invoice, underscoring real revenue traction.
