Deep Dive
1. Sion Upgrade (6 February 2025)
Overview: This major technical upgrade significantly boosted the network's core data-scraping capabilities. It allows Grass to handle more complex data types, which is crucial for serving advanced AI models.
The upgrade introduced advanced scraping algorithms and enabled horizontal compute scaling. This increased the network's data handling capacity to over 1 petabyte per day, processing multimodal web data—including text, images, and 4K video.
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. For users, it means their contributed bandwidth is used for more sophisticated tasks, potentially supporting higher network demand and value accrual over time.
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2. Reward System Overhaul (10 October 2025)
Overview: Grass refined its incentive model by splitting user points into two distinct categories. This change aims to more accurately reward different types of network contributions.
The new system features Uptime Points for keeping a device online and helping network growth, and Network Points earned when a user's bandwidth is actively utilized. One million Network Points are distributed daily based on bandwidth used, connection stability, and regional demand.
What this means: This is neutral-to-bullish for GRASS because it creates a fairer and more transparent rewards system. Users who provide more valuable, stable bandwidth can earn more, which could improve network quality and user retention over the long term.
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3. New Rewards Dashboard Launch (October 2025)
Overview: Accompanying the reward system change, Grass launched a new dashboard to give users better visibility into their earnings and network status.
The dashboard consolidates tracking for uptime points, network points, referral bonuses, and overall activity into a single, user-friendly interface.
What this means: This is bullish for GRASS because a better user experience makes it easier for people to participate and stay engaged with the network. Simplified tracking can help grow the active user base, which is fundamental for a DePIN project's health.
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Conclusion
Grass's latest development cycle demonstrates a clear focus on scaling its data infrastructure and refining its user incentive model, laying a stronger foundation for its role in the AI data ecosystem. How will the network's increasing capacity translate into commercial demand and token utility in the coming months?