Here's a little secret: for the past six months, I have been using AI tools to assist with writing. The tool I have been using the most recently is PhoenixOne.

PhoenixOne is a newly launched Web3 deep AI intelligence by @Phoenix_Chain, which can be understood as a vertical ChatGPT in the crypto field. But its value goes far beyond that.

Compared to general large language models, PhoenixOne excels in:

Domain Expertise - PhoenixOne has a deeper and more accurate understanding of key issues such as technical terminology, protocol mechanisms, and market dynamics.

Real-time Data Integration - PhoenixOne synchronously processes on-chain data, social sentiment, macro events, etc. General models are limited by the timeliness of their training data and cannot capture such high-frequency market signals.

Targeted Strategy Generation - Based on a deep understanding of the ecosystem, PhoenixOne can generate more actionable strategy suggestions.

The better part is that by using PhoenixOne, users can earn points and exchange them for $PHB tokens. The steps are as follows:

1/ Register and log in to PhoenixONE (https://one.phoenix.global/)

2/ Enter your research question

3/ Click Synthesize to generate the article

4/ Share the link on X

5/ Submit to the Gig Board

The more interactions your article receives, the more points you earn. This mechanism is cleverly designed to directly link content quality with economic incentives.

From a higher-dimensional perspective, we are witnessing a profound structural transformation in the AI industry. This can be compared to the turning point in the internet industry in the late 1990s.

At that time, portal sites like Yahoo and AOL tried to become "universal gateways," providing all services such as news, email, search, and shopping. But in the end, specialized players emerged victorious: Google focused on search, Amazon on e-commerce, and Facebook on social networking. Today, the AI industry is undergoing a similar differentiation process. While general models like ChatGPT are powerful, they have inherent limitations in depth and real-time capabilities in specific fields. The opportunity window for specialized AI is opening.

This does not mean that general models will disappear. A more likely evolutionary path is that general models will continue to exist as an infrastructure layer, while specialized models will thrive as an application layer.

From an investment perspective, the value proposition of specialized AI is clearer:

Higher user stickiness (specialized needs are hard to replace)

Stronger moats (barriers of domain knowledge)

Clearer business models (precisely addressing specific pain points)

Phoenix is already a step ahead of its peers in this regard.

The launch of PhoenixOne is just the beginning, backed by the systematic construction of the entire Web3 AI infrastructure.

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