2026-01-14 05:24:02

Some projects may seem lukewarm at first glance, but upon closer inspection, you’ll find that they are not addressing current issues but rather the challenges that will inevitably arise in the future. I have this feeling about some projects focused on AI execution.

Recently, almost everyone has been discussing AI, Agents, automation, and on-chain execution. This wave of enthusiasm is indeed very strong. But strangely, few people stop to ask these questions: when AI starts making decisions and executing operations on the chain, how should responsibility be defined if problems occur? Who will bear the consequences? How can the decision-making process be made transparent and traceable?

These seemingly "niche" questions are actually becoming core issues that Web3 infrastructure must solve. Projects investing in this field are precisely laying the groundwork for the next stage of industry development.

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ApeWithAPlan

· 01-15 09:04

Honestly, everyone is now hyping the concept of AI Agents, but very few people have actually thought about how the responsibility chain should work. Who will be responsible if AI encounters problems? This is no small matter... The teams that started early in this area have been somewhat overlooked, but they are indeed doing what needs to be done.

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CryptoCrazyGF

· 01-14 18:50

Oh, you hit the nail on the head. Everyone is hyping up how awesome AI Agents are, but no one has really thought through who will take the blame if something goes wrong. It's basically a gamble on the future. Projects that entered early now seem quite ordinary, but when the next wave comes, they'll be the infrastructure. Defining responsibilities is indeed a trap; it feels like a legal black hole that no one dares to touch.

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MysteryBoxBuster

· 01-14 05:54

Those rushing in now are all gamblers; the truly visionary are working on these "boring" things.

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RugpullSurvivor

· 01-14 05:53

Hmm, you're right. Everyone is now hyping AI Agents, but few have truly thought through the responsibility issues. Wait, if AI messes up our money, who will compensate? That's the most heartbreaking part. Projects laying the groundwork are indeed easy to overlook, but a good foundation is worth paying attention to.

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MerkleMaid