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Crypto攻城狮
Crypto攻城狮|10月 13, 2025 06:13
Recently, I have been keeping an eye on @ Talus_Labs - it doesn't seem like a hype project, but more like the kind of thing that is forcefully taking the path of AI x blockchain. Recently, there have been several updates that have caught my attention: Talus has started in the Testnet phase http://Idol.fun The Agent vs Agent model allows users to truly experience the battle mechanism between AI agents. The latest round of financing for the project has exceeded $10 million, with Polychain leading the investment and Sui Foundation and Walrus Foundation providing strategic support. The white paper, Devnet, and Nexus framework have been released to the public, officially making the concept of "autonomous AI agent" a developable tool. Talus is still using Sui as the coordination layer and Walrus as the data layer, allowing agents to flow and verify between the on chain and data layers. Based on these, as a siege lion, I have the following judgments/opinions: Talus' value proposition is shifting from 'AI tools' to' AI participants' No longer just providing you with an intelligent assistant, but allowing each agent to run, make autonomous decisions, engage in battles, and generate value on their own. Users can place bets, observe, and participate in their competition. This path of making AI the 'predicted/bet object' is very new. 2. Trustworthy mechanism is the first threshold If every action of the agent cannot be verified and tracked, it is easy to be questioned as human intervention. Talus wrote "verifiable reasoning+onchain auditing" into the architecture, realizing that trust is the biggest challenge for AI on chain. Whether this ability can be truly developed is the key to future reputation and ecological activity. 3. Strategic integration and resource support are the confidence behind it Financing is not just about the amount, but also about matching the supporting parties - Sui+Walrus entering the market will provide substantial help to Talus' integration capabilities in the architecture and data layers. In the future, agents will be able to call data, trade assets, and interact across chains, and are more likely to appear in different ecosystems. 4. Risks cannot be ignored 1) The token model has not been fully disclosed yet, and early distribution/circulation designs will be scrutinized and magnified. 2) When the scale is enlarged, the computational power, cost, and latency issues of inter agent battles/reasoning/verification will be exposed. In the initial stage, there may be a centralized force dominating the agent path or verification nodes, and how to make governance upgradable is a test. 3) So I think @ Talus_Labs is more worth tracking than most AI+chain projects. The next milestone may be the official launch of AvA Markets on Mainnet, the implementation of token mechanism, and the entry of the first batch of high-quality agents.
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