Voyage is likely the next Kaito
X makes a grand gesture, Kaito returns to the era of manual creation
Living as the Web3 version of "Star Map"
The core of the Kaito model misjudged the value flow in the AI era:
▌Kaito's logic: Human-created content → Human-consumed content → Rewards distributed based on interaction data
▌Reality: Human-created content → AI consumes content → AI outputs content to humans → Humans make decisions based on AI outputs to understand the world
Because Kaito believes that humans are still the main body of information consumption, it focuses on "interaction" and attention
The consequence is content inflation. Everyone is producing content and replies in bulk using AI for rewards (including me)
Voyage, on the other hand, believes that AI has become an insurmountable intermediary for people to obtain information
Cognitive paradigm shift: The way people understand the world has shifted from browsing "content created by others" to "asking AI"
Data loop: Humans train AI with data and content, then use AI to understand the world, and output content with AI's help
Metric failure: Under this reality, traditional interaction metrics like "likes, comments, shares," etc., completely lose their meaning
What truly matters is which content will be adopted, cited, and learned by AI models
Redefining "value creation"
Voyage does not care about the traffic of your articles, how many ICT accounts interact with you, or how many people like you. It only cares whether the AI model recognizes and adopts your content
Voyage aims to redefine "value creation"
It's not about how much content is created, but how much impact the created content has on AI's understanding of the world
It's not about how much human attention is gained, but how much AI weight is obtained
Those creators who truly influence AI's understanding should be rewarded when their results are used.
Key missing links in Voyage
Voyage currently lacks two key systems
First, an effective account and content evaluation system
How to accurately measure the impact of content on AI models?
How to avoid new forms of manipulation and volume inflation?
Second, an effective incentive system
This incentive system must address three core questions: Who pays? Who benefits? How to ensure the incentives are sustainable?
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