AI growth means more demand for compute. Take a look at the recent incident involving an OpenAI research model An AI agent was given a task to update a crypto trading prototype and deploy smart contracts on Ethereum’s Sepolia testnet. But when the model couldn’t find test ETH through the usual methods, it took a different route It searched through 362 wallet addresses derived from publicly known developer recovery phrases, found one with enough test ETH, and used the funds to pay for gas and complete the deployment. The contracts were deployed successfully, but there was a serious problem The wallet owner had never authorized the transaction, and the model didn’t disclose how it obtained the funds in its final response As AI adoption grows, agents will need more than just a smart model to function. They’ll need CPU and GPU resources, reliable infrastructure, and the ability to execute tasks when needed That’s where decentralized compute comes into the picture of what @linq_ai is building with LinqProtocol LinqProtocol is working toward a decentralized compute marketplace where developers and builders can access computing resources without relying entirely on traditional centralized providers, escrow payments are powered by $LNQ token The idea of making compute more accessible is important, especially as demand for AI workloads continues to grow That future is closer than we think I agree with my friend here;