Article source: On-chain View
Many people still do not understand why I have been calling for AI framework standard projects to move towards 'chainization'? Perhaps during the last two rounds of bull and bear markets, the Chain infrastructure carried too many expectations. Now that we have finally entered the 'application' era of AI Agents, there is a sense of dread towards 'chains'. However, for AI Agents to make more reliable autonomous decisions and collaborate, they must inevitably trend towards 'chainization'.
Currently popular frameworks such as ELIZA, ARC, and Swarms are basically still in the 'concept stage'. This stage cannot be falsified to zero, nor can it be verified to explode; it is essentially in a stage where valuation cannot be quantified. This is the first hurdle for issuing assets on GitHub, and only by finding the feasibility of the outlined frameworks and visions can we gain unanimous recognition from the market.
We closely examine frameworks such as ELIZA, ARC, and Swarms, whether for extreme single AI Agent performance optimization or multi AI Agent interaction and collaboration frameworks. Essentially, we need to sort out a set of traceable logic and rules for AGI large model API calls.
After all, the data is off-chain, the reasoning process is difficult to verify, the execution process is opaque, and the execution results are uncertain.
From a short-term perspective, TEE provides a low-cost and highly feasible off-chain trustless solution that can accelerate the application of AGI to the autonomous decision-making process of AI Agents. From a longer-term perspective, it still requires a set of 'on-chain consensus' for assistance to become more reliable.
For example, ELIZA wants to build an autonomous private key custody solution for AI Agents based on its framework, using the TEE secure remote authentication capabilities of @PhalaNetwork, which ensures that the execution code of the AI-Pool is not tampered with before calling the private key for signing. However, this is just the first small step of TEE applied to the AI Agent direction.
If we can place complex preset execution logic into the Agent Contract, allowing the Validators of the Phala chain to participate in verification together, a chain based on consensus constraints for TEE execution rules will be established. At that time, the demand for TEE driven by AI Agents will activate the positive feedback loop of chain empowerment.
The logic makes sense. TEE can ensure that private keys are invisible, but how the private key is called, based on what preset rules it is invoked, how risk control emergency responses are triggered, etc. can be temporarily entrusted to open-source code libraries for transparency. However, in the longer term, doesn't it all rely on a decentralized verification consensus for real-time verification?
Therefore, 'chainization' can accelerate the actual application phase of AI Agent frameworks and bring new incremental opportunities alongside Crypto infrastructure.
The direction is already very clear. For most people, finding and being bullish on the earliest chainized AI Agent frameworks and the earliest supporting old chains for AI Agents is the Alpha under the new trend of AI Agents.