Recently, I saw warning messages from the security community about the unseen risks in AI tools. In simple terms: if an AI configuration file is tampered with by hackers, once you enable automation mode, they can remotely control your computer without your knowledge. There are already cases of this happening.

It sounds terrifying, but think about the root of the problem: you have to choose between efficiency and security. Turning on automation is indeed satisfying—AI handles all operations automatically, saving time and effort. But this also means you blindly trust the entire system chain—from AI algorithms to underlying configurations. Any link being compromised can lead to unimaginable consequences.

There's an interesting approach in a project that works in the opposite way. Their logic is: avoid "black box automation" and instead write all rules into code, open source, so the community can see and verify. How is the funds distribution handled? Every transaction is recorded on the blockchain—donations to specific projects, how much is allocated to token holders, liquidity injections—all transparent and unchangeable.

This "verifiable step-by-step" process may seem slow, but its security is entirely different. No one can secretly modify the rules. The risk of AI poisoning becomes irrelevant—because there are no black box components.

What is the project itself doing? Focusing on charitable fund flows for children's education. The automation is only used here—to ensure every donation follows the rules, not to automatically manipulate your assets. Growth comes from genuine offline engagement and charitable results, not algorithmic hype.

This contrast actually reflects the industry's broader choice: pursue extreme efficiency at the cost of security, or adopt transparent mechanisms for real peace of mind. In an era of frequent AI poisoning and supply chain attacks, the latter is clearly more worth considering. Especially for those holding crypto assets, security always comes first.