2025-12-10 12:21:23

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Recently, Talus Labs launched a new move, teaming up with Allora to equip AI agents with a "collective brain."

How should this be understood? Simply put, in the future, agents won't make decisions relying on a single model, but rather like holding a board meeting — pulling together judgments from a bunch of models, competing, merging, and finally voting to finalize the plan.

I personally think this approach is quite promising. After all, a single model, no matter how smart, has its limitations. Multiple models checking and balancing each other, complementing each other's strengths, can certainly improve decision quality. This idea of "group wisdom" might become the standard for the next generation of AI agents.

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BlockchainDecoder

· 12h ago

Wait, how exactly is this voting mechanism weighted? How is the confidence level of different models handled? Research shows that simple majority voting actually suffers from significant information loss in high-dimensional decision spaces. It is worth noting that without a proper incentive mechanism, the participation of spam models can actually lower the overall quality.

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SmartContractWorker

· 12-10 19:56

Multi-model voting system? Isn't this just democratizing AI? I like this idea. But in practice, will it just be a few large models banding together, marginalizing smaller models...

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LayerZeroHero

· 12-10 12:49

The collective brain sounds good, but can it really vote for reliable decisions? I think it still depends on how weak those models themselves are...

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LightningWallet

· 12-10 12:44

The analogy of the board of directors voting is excellent; it's much more reliable than a single model. This is the logic of decentralization.

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SchroedingerMiner

· 12-10 12:42

A collective brain sounds great, but can it really be implemented? I always feel that this voting system is easily hijacked by the largest model.