"SIMON team on AMD AI League Hackathon"

SIMON is a distributed habitat for open model weights. People with GPUs compute inference, receive a token for it, and the network verifies that they really did the work — without a single server anyone can switch off. Today a model is a file you download. A file has nowhere to live outside somebody else's API. SIMON is the place where weights reside: they run, they are used, they evolve, and access to them flows from the network rather than from one cloud. 2. Problem Three things at once: 2.1. Open weights have no infrastructure. A publicly released model sits on one server or waits to be downloaded. If the server disappears, the model disappears. There is no mechanism giving it a durable place to run. 2.2. Access to models is centralised. Even when weights are open, practical access runs through the APIs of a handful of companies. Whoever owns the API sets the price, the limits and the data-use terms. 2.3. Consumer hardware sits idle. Consumer graphics cards are idle most of the day. BOINC and Salad showed that people are willing to donate compute — but not for free, and not without verification of the work. What is missing: a mechanism that pays for work genuinely performed and verifiable on somebody else's hardware. 3. Thesis THINK for verified work; a burned fee as the condition of issuance. Three elements, inseparable: 1. Verification — the network must be able to check that a node actually computed, rather than merely claiming to. 2. Lottery — the client does not pick the node, so it cannot buy "its own". 3. Settlement — work pays, cheating loses the stake. Without verification the rest is pointless: a node that signs a fake result itself passes every check. This is the point where SIMON either stands or falls.