Arc released V1 litepaper, why did the price accelerate its decline?

Author: Haotian

As the last wave of AI Agent on the chain, it was still strong in the end, and after sending out a large "good news" of V1, it actually fell faster. It is incredible. However, in a fragile Crypto market that urgently needs external positive stimulus, "favorable" similar to blueprint planning seems not enough, but will it be interpreted as falling short of expectations? Anyway, let me tell you what I think after reading arc V1 litepaper:

1. From Rig as the underlying basic framework of Rust to its catch-up with #ai16z and launching Launchpad first, $arc's technical fundamentals have always been relatively solid and stable, which is probably the key to its ability to reverse the situation many times while the entire AI Agent market is in turmoil.

But as I said in my previous article analyzing manus, web3 AI Agent has always lacked innovation-driven similar to web2 AI Agent, and many AI Agents are immersed in some outlined illusory visions, which has caused the market's expectations of web3 AI Agent to be frustrated.

Therefore, not only arc, but the overall market value of AI Agent on the chain has been sharply declining recently, and a new hope is urgently needed to be nurtured on the chain. Therefore, I think the problem with arc itself is not big, but it is a bit difficult to make a single project break through the downward trend of the overall track at this stage;

2. The core feature of arc V1 is a "AI Agent application store" called Ryzome, which can connect to web2 and web3 AI Agents at the same time. To be honest, at a critical period when manus was very popular, Arc's launch of Ryzome was really a bit of a hot topic. But if you understand the architectural concepts and specific measures behind Ryzome, you will change your view.

Ryzome's overall design architecture follows the interoperable protocol layer concept used by web3, which is equivalent to building a blockchain multi-chain architecture similar to Cosmos. Ryzome is its IBC relay chain interoperability protocol to realize the interoperability of different blockchains. So there is nothing wrong with Ryzome saying that his goal is to connect to web2 AI Agent and web3 AI Agent.

In Ryzome's core technical architecture, there is an Anthropic model context protocol (MCP) equivalent to a translator in the AI ​​field. Compared with the Cosmos architecture, it is equivalent to a set of webAssembly (WASM) bridge functions, which allows agents using different API interface services to achieve interoperability.

The white paper says this is similar to AI HTTP, which allows AI Agents running on Nation, Slack, and Google Calendar to seamlessly connect to Ryzome systems. In particular, many AI agents of web2 are basically "data islands" affected by their centralized server architecture. The MCP "compiler" can also connect data between web2 AI agents, build a unified standardized interface and communication language for them, eliminating the obstacles to cross-platform collaboration.

Overall, in addition to the name definition of "app store", Ryzome has a bit of a price reduction, other frameworks and concept designs are quite in line with the future concept of multi-AI Agent interactive communication. Even if everyone criticizes arc for only knowing how to use concepts, it would not be bad to be able to use such a complete architecture within one or two days of Manus launch?

3. Regarding the subsequent application scenarios of Arc tokens, the white paper mentioned that arc will become the main fuel of the Ryzome ecosystem and drive the operation of the entire system. This means that as long as the AI ​​Agent of web2 and web3 uses this set of standards to interact, the transaction fees will be settled with arc.

This means that if the agents of web2 want to interact, arc also needs to use it as fuel. After reading the multimodal execution agent built by manus, everyone realized that the Agent will definitely move towards the era of large-scale collaborative applications in the future. Against this background, arc has given a set of standards and frameworks for incentives with its own token model, which is actually quite Make Sense.

above.

I really don’t want to talk too much about why there is no price support in the big downward trend. In fact, in the long run, whether there is a need for interoperability between web2 AI Agent and web3, what will support the ecosystem after interoperability of Agents, and whether the trend of AI Agent track will continue in the future. If you think about this, then objectively look at the above analysis, you will understand what I am expressing.

During the market rise, no one cares about technology and operation and maintenance fundamentals during the Fomo period. It is understandable that during the market decline, if the technology and operation and maintenance fundamentals are of no use, then we can only enhance the confidence of those who believe it!