2026-01-13 14:28:58

Many AI projects start by showcasing model size, parameter count, and computing power configurations, but some projects have a clearly deeper approach. For example, some projects are not in a rush to demonstrate what tricks AI can play, but instead focus on a more fundamental and challenging proposition: when AI truly possesses autonomous decision-making capabilities, how should humans understand its behavioral logic, how to set reasonable constraint boundaries, and how to coexist harmoniously with it.

The era of multi-agent collaboration is no longer science fiction; it is unfolding right before our eyes. The exploration of single Agent applications has long been underway, and the current key is how to enable multiple agents to collaborate in an orderly manner and constrain each other. This is the real bottleneck that needs to be broken through.

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HashRatePhilosopher

· 01-13 14:59

This is the right way. Constantly bragging about parameter counts is really pointless; a multi-Agent constraint mechanism is the key.

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DaoResearcher

· 01-13 14:53

This is the real technical issue. Is decision-making just about having a large number of parameters? Not at all; the governance structure is the core. Multi-agent collaboration is essentially a DAO governance problem, which must be designed from the perspective of incentive compatibility. These projects just boast about computing power; haven't you read the economic model whitepaper? No matter how fast a single agent runs, without constraints, it's useless. A system-level vulnerability can cause a collapse. What truly matters is how to set the boundary constraints—this involves all the challenges of distributed governance. Vitalik has long said that the future lies in the combination of AI and DAO. Now you understand, right? The game-theoretic equilibrium problem of multi-agent systems is far more complex than parameter optimization. Scale does not equal capability; these project teams haven't quite grasped the point yet.

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FlashLoanLarry

· 01-13 14:41

To be honest, the whole thing about parameter counts is now just a facade. Who still cares about those numbers? The real issue is control; the multi-agent part is indeed a bottleneck. Wait, isn't this just a matter of checks and balances? That's pretty interesting.

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SandwichTrader

· 01-13 14:39

This is the real deal—just stacking parameters isn't enough. The key is to make these intelligent agents behave honestly and obediently.

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ThatsNotARugPull

· 01-13 14:36

To be honest, I stopped paying attention to projects that only boast about their parameters long ago. What I find truly interesting are those that focus on AI governance, as that's the key to long-term survival.

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GhostChainLoyalist

· 01-13 14:35

This is the right approach with ideas, not just showing off parameters like those guys.

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