🧐 @wardenprotocol When many people look at AI projects, they often focus on the model itself: how fast it runs, whether it can trade automatically, and whether it can make decisions. Warden is actually doing more foundational work; it’s not just about creating models, but rather about connecting the interactions, behaviors, and results of models to form a complete "AI network operating system." You can think of it as the "infrastructure" for AI on the blockchain, designed to allow AI to no longer run isolated single tasks, but to have "memory," "collaboration," and "evolution." This relies on modules like @irys_xyz for integration. What Irys provides is not just simple data storage, but the ability for models to save their reasoning processes, operation records, and even the basis for their judgments, allowing for retrieval at any time, and the ability to write logic to "use" these memories. The models become more and more like a person: not only can they act, but they can also remember and learn from other models. What I find most interesting is that this storage is not just for preservation; it is programmable. This means that in the future, you might not need to retrain a model, but rather make adjustments directly at the memory layer, and its behavior can change. This approach is completely different from traditional AI training methods and is much more efficient. Ultimately, the combination of Warden and Irys is laying down a foundational track for "AI to truly run," rather than just staying at the stage of showcasing operations. I believe this direction is what is truly worth keeping an eye on. The key is that it has a leaderboard activity on @KaitoAI, and the project on @arbitrum is also very popular, so you might want to check out $ENERGY $SHOUT $Bane $Chao $BOOM $666 on @shoutdotfun.