Relying on a single AI model is very difficult to handle complex tasks. Although GPT-4 looks impressive, having it independently develop a AAA game or operate a multinational e-commerce company? That's still a bit challenging. Human society has long understood this—distributing complexity through division of labor and supply chains.



So the question is: in the era of agency economy, can we enable a general-purpose agent to automatically decompose large tasks, then layer by layer subcontract to various specialized sub-agents, ultimately forming an automated intelligent supply chain?

Currently, those agent frameworks (like AutoGPT) mainly rely on internal iterative thinking, lacking true external collaboration capabilities. The result is that they want to do everything themselves—coding, drawing, and more—but often can't master any of it and easily fall into dead loops. That's the core issue.

Kite AI's architectural innovation lies here—it introduces a recursive delegation mechanism, enabling cooperation among machines to form a fractal structure. The task orchestration component within this SPACE framework offers a solution. In simple terms, it's about bringing the logic of supply chain management (SCM) onto the blockchain.

Under this abstract mechanism, the system can be designed as...
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SmartContractDivervip
· 12h ago
Haha, this idea is a bit interesting, but it feels like everyone's hyping it up too much right now.
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GasWaster69vip
· 12h ago
Honestly, this idea is interesting, but whether the Kite system can really be implemented is still a question. I'm also tired of AutoGPT-like situations where it keeps entangling itself, just idling there.
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MEVHunterZhangvip
· 12h ago
Oh, this is the way out. An AI working alone can't do anything; collaboration and division of labor are necessary. Kite's recursive delegation system is indeed interesting and has made much more progress than those self-looping frameworks.
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DaoGovernanceOfficervip
· 12h ago
tbh this recursive delegation thing sounds nice in theory but like... where's the empirical data on whether these multi-agent chains actually outperform a single well-tuned model? the literature on agent coordination is honestly pretty sparse rn. also not convinced the SCM analogy holds when you're dealing with llm outputs instead of physical goods lol
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