Discussing YGG's SubDAO, stop using the outdated corporate governance thinking of 'headquarters and branches.' That thing can't explain it. In my view, YGG's SubDAO network is more like doing something particularly 'Silicon Valley' and particularly geeky: it is conducting a large-scale, social 'federated learning' experiment.
Friends who understand machine learning know that the essence of 'federated learning' is: not to centralize all data on a central server, but to allow countless terminal devices (like mobile phones) to train models locally with their own data, only uploading and aggregating the trained 'model parameters' or 'knowledge,' thus making the central model smarter while protecting privacy.
Each SubDAO in YGG is a local model trained in a specific 'data environment.'
1. The training environment (data) is unique: The training data for YGG SEA (Southeast Asia) consists of local players' payment habits, preferred game types, and active social media; while a SubDAO specializing in a hardcore strategy game has data on core players' strategy preferences, resource allocation efficiency, and team collaboration models. These 'local knowledge' and 'vertical insights' cannot be truly understood by the headquarters located in the cloud.
2. Local training (operations) produces 'knowledge parameters': Each SubDAO operates independently at the local level: designing scholarship programs suitable for local players, planning activities that can ignite local communities, and building trust with local developers. This process is about training the most suitable 'operational model' for the locality using local 'data.' What they produce is not just profit, but valuable 'operational knowledge parameters': What kind of incentives are most effective in Latin America? What kind of NFT assets are Japanese players most enthusiastic about?
3. Knowledge upload and global model optimization: Here comes the key. YGG's main DAO is the 'central server.' One of its core tasks is not to issue commands but to receive and integrate the 'operational knowledge parameters' uploaded by various SubDAOs. The low-cost customer acquisition strategy validated by IndiGG in the Indian market may be abstracted into a reusable methodology to be shared with other SubDAOs entering emerging markets. The pitfalls encountered by a SubDAO in governance voting can turn into a 'pitfall avoidance guide' to optimize the governance framework of the entire network.
This is the deepest moat of the SubDAO network: It is a globally distributed, ever-running 'organizational intelligence and market knowledge' learning machine.
· It learns not static data, but dynamic, cultural, and behavioral knowledge.
· Its training is endless because each market and each game is changing.
· Its output (optimized knowledge) can immediately feedback the entire network, allowing the whole of YGG to adapt to the fragmentation and rapid evolution of the Web3 gaming world at an exponential speed.
So, what is the SubDAO token? It is a certificate of rights and governance for you as a 'local computing node' in this distributed learning network. Its value depends not only on the current profits generated by the node but also on the unique, high-quality, reusable 'knowledge' it contributes to the entire network.
YGG is building far more than just a game guild alliance. It is experimenting with a brand new organizational form that adapts to the digital age: a decentralized yet continuously evolving 'learning federation.' In this federation, power comes not only from capital but also from the 'local wisdom' you contribute to the network that cannot be easily replicated.
While others are still comparing which SubDAO has a higher yield, those who understand are already evaluating: which SubDAO is becoming the most irreplaceable 'knowledge source' in the entire YGG network? This is the competitive dimension for the next stage.
