Deep Dive
1. Sion Upgrade (6 February 2025)
Overview: This major technical upgrade significantly improved the network's core data-scraping capabilities. It allows Grass to handle more complex data types at a much larger scale.
The upgrade introduced horizontal compute scaling, meaning the network can add more processing power as demand grows. It specifically enhanced the system's ability to process multimodal web data—including text, images, and 4K video—simultaneously and efficiently. This led to a milestone where the network could scrape over 1 petabyte (1 million gigabytes) of public web data in a single day.
What this means: This is bullish for GRASS because it makes the network more valuable to AI companies that need diverse, high-quality training data. A more capable network can handle larger commercial contracts, which should drive more demand for bandwidth and, ultimately, more value through the ecosystem.
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2. Reward System Overhaul (10 October 2025)
Overview: This update refined the user incentive model by creating two distinct point systems, making rewards more closely tied to the network's operational needs.
Grass Points were divided into Uptime Points (for keeping a device online) and Network Points (earned when bandwidth is actively used by the network). A new Rewards Dashboard was launched to track both. Every day, 1,000,000 Network Points are distributed based on bandwidth utilization, connection stability, and regional demand.
What this means: This is neutral to bullish for GRASS because it creates a fairer and more efficient reward system. Users who provide more useful resources earn more, which should improve network quality and stability over time, supporting long-term growth.
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Conclusion
Grass's development trajectory shows a clear focus on scaling its core AI data infrastructure while fine-tuning user incentives for sustainable growth. How will the network's increased data capacity translate into commercial adoption and revenue in the coming months?