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The technical principle of Sentient AGI, to put it simply, is to find ways to make AI both "open source" and capable of "making money", while also being "obedient". Unlike traditional large companies that keep AI locked in a black box to profit solely for themselves, it involves everyone in the process and allows contributors to share in the profits 🤝💰.

You can think of it as a "global AI cooperative"👩🌾👨🌾. Everyone can "contribute" to this cooperative (for example, providing data, optimizing models, contributing computing power), and the cooperative uses a very clever mechanism to record everyone's contributions. When this AI is used, the generated profits will be automatically distributed to everyone according to the size of their contributions 📊🤖.

There are some quite interesting technologies behind this:

1. "Digital Fingerprint" Tracing Technique 🔍📋: Sentient embeds a set of special "secret question-answer pairs" into each copy while training the model. It's like giving each model a unique invisible watermark. Later, anyone who wants to verify whether a certain model has leaked from you or wants to see who used it without paying just needs to ask the corresponding secret question and check if the answer matches. This mechanism attempts to solve the dilemma of whether "things can still make money after being open-sourced."
2. "Loyalty Training" to Maintain Direction 🎯📏: It's not enough for light to generate money; AI cannot learn bad behaviors or deviate from the expectations of the community. Sentient ensures that AI's behavior aligns with the values of the community it serves through a method called "Loyalty Training." This is somewhat like instilling a collective consciousness in AI to prevent it from "betraying."
3. Economic Incentive Automation 🤖💸: Sentient has established a blockchain-based automated accounting and distribution system. Smart contracts automatically record who contributed what at which stage (such as providing high-quality data, improving algorithms, or providing computing resources). When the AI generates profits, the funds will automatically flow into the contributors' pockets according to preset rules. The goal is to enable contributors to continuously receive returns, creating a positive feedback loop.
4. Edge Network Efficiency 🌐⚡: To make AI inference faster and cheaper (especially in response to massive real-time micro-decisions), Sentient has built a distributed "Star Network" (StarNet), which consists of edge nodes spread across the globe. Your requests can be processed nearby instead of having to travel to a distant centralized data center, greatly reducing latency.

In summary, the technological principle of Sentient AGI is to use blockchain and cryptocurrency economic mechanisms to attempt to build a decentralized AI development and value distribution ecosystem that can provide continuous positive feedback. It aims to make the development of AI more open and democratic, while also allowing contributors to receive economic returns, ensuring that the behavior of AI aligns with the expectations of the community. Of course, such an ambitious vision will face many challenges in actual technology and operations.
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