🧐 After integrating @wardenprotocol with @irys_xyz, the model can not only store information but also write in "logic". For example, if the model makes a decision, it can set conditions to automatically execute when a certain situation arises in the future. This data can also carry permissions and rules, allowing other models to call, share, or even pay for access, all clearly set within. The most important thing is that this method does not make the model increasingly complex on its own, but rather allows the data itself to become smarter. For instance, if you create a DeFi assistant model, it can remember that you are afraid of losing money and prefer stable operations, so the strategy can automatically adjust without you having to click around every day. Moreover, if multiple models work together, they can coordinate their respective strengths instead of each performing independently; even if you create a very powerful model, its knowledge can be packaged as "assets" for licensing or sale, opening up monetization pathways. From my understanding, Programmable Data is not just a technical buzzword, but the key to unlocking "AI autonomous systems". It allows models to no longer rely on humans to feed data, but instead decide how to process, share, trigger actions, and even make money on their own. This direction not only accelerates AI but is also a crucial leap that truly gets it running. The key is that there is 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.