➥ @GenLayer has built an upgraded version of smart contracts called Intelligent Contracts. I like how GenLayer approaches one problem prediction markets still don’t handle well: outcomes that require judgment instead of just reading data. A clear example is Polymarket’s $242,2M market on whether Zelenskyy would wear a suit before July. The data and evidence can be public, but someone still needs to decide whether a specific outfit actually counts as a “suit” under the market rules. That’s exactly the type of problem GenLayer is trying to solve with Intelligent Contracts. – traditional oracles work well when the answer is a price, score or predefined data point – Intelligent Contracts can read public websites/APIs, interpret unstructured info and evaluate the result against written rules – the decision doesn’t come from one AI model, 5 randomly selected validators independently evaluate the evidence using different models – if the result is challenged, the validator set can expand from 5 → 11 → 23 In GenLayer’s public benchmark, its Intelligent Oracle resolved 97.2% of addressable Polymarket markets. Resolution can take around 3 mins, while disputed markets can take days to settle. Personally, I think this use case gets more interesting as prediction markets expand into politics, geopolitics, token launches, speeches and other real-world events. A lot of these outcomes need interpretation, not just another data feed onchain. If prediction markets keep scaling, decentralized judgment could become a new infra layer underneath them.