Artificial intelligence and blockchain are often listed as the 'two major trends of the future.' However, AI has an old problem: Are the results trustworthy? Has the data been tampered with? Is the model a black box?
The solution of @Succinct may fill this gap perfectly. Through SP1 zkVM, the inference results of AI models can be transformed into zero-knowledge proofs. In other words, the results computed by AI are no longer 'you can only trust me,' but rather 'I can prove that I am correct.'
For example, if an on-chain trading strategy uses AI to predict the market, it can generate proofs through the Succinct framework, allowing users to know 'this result is indeed calculated by the model,' rather than being fabricated at will by the project team. Furthermore, AI computations in sensitive fields such as healthcare and finance can also achieve audit-level credibility through proofs.
The role of the DPN network here is to ensure that the process of generating proofs is both efficient and decentralized. Coupled with the collateral and incentives of $PROVE , the entire system forms a self-restraint mechanism.
I believe that the combination of AI and ZK will usher in a new era: not just 'able to compute,' but 'computing correctly and truly.' And Succinct is making this future happen sooner.
