🎉 Share Your 2025 Year-End Summary & Win $10,000 Sharing Rewards!
Reflect on your year with Gate and share your report on Square for a chance to win $10,000!
👇 How to Join:
1️⃣ Click to check your Year-End Summary: https://www.gate.com/competition/your-year-in-review-2025
2️⃣ After viewing, share it on social media or Gate Square using the "Share" button
3️⃣ Invite friends to like, comment, and share. More interactions, higher chances of winning!
🎁 Generous Prizes:
1️⃣ Daily Lucky Winner: 1 winner per day gets $30 GT, a branded hoodie, and a Gate × Red Bull tumbler
2️⃣ Lucky Share Draw: 10
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...