The two biggest nightmares of liquidity mining are unavoidable: frequent token theft incidents and impermanent loss, which is even more of a nightmare. Recently, I saw a project introduce a stablecoin Agent model combined with an AI risk scoring mechanism to manage positions.

Unlike those old-fashioned auto-compounding logic, this system's main innovation lies in risk control. By evaluating multiple data points such as the liquidity health of trading pairs, slippage risk, and contract security indicators in real-time, it dynamically adjusts strategy parameters. In simple terms, it teaches the machine to recognize traps and filter out risks before participating in mining.

Of course, this is not a silver bullet; DeFi is inherently high-risk. But compared to blindly rushing into a new pool, there is at least a protective cushion in place. This approach is still worth paying attention to—especially for those who want to survive long-term in DeFi, where risk control outweighs returns.