I believe that many people feel like they are picking up treasures everywhere when they open DEX, after all, there are popular projects with 10-300M and good technical quality everywhere, but when they open CEX, they are full of old narrative projects with 300M-3B, which makes them feel mixed. But in fact, CEX also has a logic of picking up treasures by following the trend. Let me briefly talk about it:
1) This round of AI Agent narrative trend is evolving rapidly, from AI MEME -> single AI application -> AI Agent Launchpad -> AI Agent framework standard -> AI Agent chaining.
Pure MEME has always been a speed-pass hype logic; single AI has to compete on experience, so AIXBT can dominate in the short term; Launchpad platform will definitely be taken advantage of by Virtual; frameworks and standards have great room for imagination because they are backed by complex technical logic, but are currently still in a melee stage; only the chain direction of AI Agent is relatively "traceable".
2) The logic of "chainization" must not be that a public chain jumps out and says that it can support all AI Agents to run on the chain. There must be such public chains, such as @NEARProtocol, ICP, and BNBChain, which all have such potential. But the problem is that at this stage, AI Agent is still in the early stage of "issuing assets" in MEME. It can only run AI Agents, but it cannot mobilize the enthusiasm of developers, which is useless.
Therefore, the first wave of "chainization" narratives must come from the ai16z ecosystem, such as @focEliza.
3) The core point of “chaining” is to build infrastructure for better compatibility and service of large language models (LLM) for AI agents, such as:
1. If AI Agent wants to autonomously generate private keys and manage assets, it must rely on TEE infrastructure. Therefore, projects that can provide mature TEE solutions are potential Alphas in the old narrative of CEX. Because TEE has always been inconspicuous under the competitive pressure of traditional cryptographic algorithms such as ZK, MPC, FHE, etc., and suddenly it has become the core infrastructure of the new wave of AI narratives.
Imagine some projects with small market capitalization, low presence, solid technology, and catching up with new trends. They will definitely be potential treasures among many CEX targets (this is the logic of $PHA's show. If you agree with the value of TEE infrastructure to AI Agents, the TEE track will definitely still have potential).
2. In order for AI Agent to achieve hierarchical optimization and matching of Memory, the goal is to build Data Avaliability (DA) capabilities suitable for AI Agent. The traditional EVM public chain has extended many exciting narratives in the DA section, such as Blob plug-in space and third-party DA War.
How to build DA capabilities that are exclusive to AI Agents will definitely be a hot topic: including how DA block space can accurately record LLM contextual valid semantics, how Character setting plug-ins can interact with DA blocks in real time, how data in multi-block space can effectively match multimodal interactions, and the cost of multi-block space hierarchical storage of data (short-term, long-term, working memory, etc.), etc. These are all difficult problems that the new DA Builder needs to overcome. This is also the reason why focEliza uses DA capabilities as the core breakthrough point.
3. AI Agents must rely on public chain-level trusted verification processing to achieve single-mode verifiability and multi-modal trusted interaction. In the process of TEE infrastructure solving the generation of large models and application of private keys, TEE alone obviously cannot solve the problem of physical blasting of single-point TEE hardware and the problem of consensus verifiability of TEE execution programs.
In the long run, all of these will have to rely on the blockchain's naturally decentralized node verification consensus and smart contract collaborative calling environment to achieve.
In other words, a blockchain distributed system with strong consensus will make the intelligence of AI Agents "reliable" and guaranteed. So following this logic, projects that are currently working on providing AI Agents with zkVM underlying frameworks, ZK Oracle oracle solutions, ZK Bridge cross-chain solutions, and "chain abstraction" public chain-level application solutions are also in this round of "chainization" narrative trends.
above
When a series of solutions such as TEE+DA+Oracle+zkVM+chain abstraction that provide "chaining" capabilities for AI Agents mature, at this time, the decentralized distributed computing power, decentralized fine-tuning reasoning environment, decentralized data sources, decentralized IP communication and incentives, and other things that AI Platforms and other platforms need will truly become "urgent needs."
To some extent, based on this step of efforts in the chain direction of AI Agent, large AI platform projects such as io, Aethir, Vana, and SaharaAI will also have their place.
Clarify this logic, how to obtain the true scriptures in the chaotic era on DEX, and how to pick up treasures in the silence on CEX. Without further ado, you will naturally have a clear judgment.
