📢 Official Announcement | DogeLayer Network Recent Major Updates & Infrastructure Maintenance Progress
Dear Community Members and Ecosystem Partners,
To further enhance the stability of our underlying network performance and ensure the fairness and transparency of on-chain asset mining, the DogeLayer technical team has recently implemented crucial upgrades to the protocol layer and core data monitoring.
The specific details of the updates and maintenance are as follows:
1. Fixed Submit Anomalies (Flood Attack) and Hashrate Distortion Issues
Technical Optimization: The team has successfully located and fixed a submission frequency anomaly (the flood issue) that previously occurred under specific nodes. This anomaly had caused client-side data fluctuations during certain periods.
Data Calibration: With this underlying logic resolved, the hashrate distortion (inflated or jittering data) caused by submission anomalies has been completely settled. Currently, the display of the entire network's hashrate and node contribution data has been restored to its true, physical on-chain state.
2. Transparency Upgrade: Introducing the Official f2pool Observer Link
To uphold our commitment to complete decentralization, openness, and transparency, the official team has now made the actual underlying data of our joint mining operations publicly available to the entire network.
All users and community members can now monitor and verify the network's real-time, actual LTC/DOGE mining hashrate and yield performance 24/7 through the following public, read-only observer channel:
🔗 [https://t.co/v0RrXpKBKc]
The DogeLayer team will continue to relentlessly optimize our underlying code and enhance data performance in high-concurrency environments, building the most robust decentralized AI computing infrastructure for you. Thank you for your long-standing trust and support!
This week, @const_reborn speaks with @sebyrubino#SN46@zipcodenetwork building accurate property appraisal models on Bittensor.
SN46 Miners submit models ~30 days before evaluation;
evaluation uses properties listed and sold within the last 30 days - ensuring models are tested on data they couldn't have seen
Novelty Search E076
>> Live via Bittensor Discord
We've talked a lot about how our efforts to train AI to shop will be entirely open source. Through Bittensor, we're committed to that ethos.
We're excited to share our pre-print on arXiv, our code, our data and our entire post-training pipeline.
Huge shoutout and thanks to @JarrodBarnes in helping us leverage this very valuable data.
This is how AI is going to learn to shop.
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A few years ago, TAO was a niche DeAI project Today, it’s being treated as an institutional grade asset
The market is starting to recognize what many have missed
Our #1 @proofoftalk 2026 takeaway:
The "just talk" phase is over. We've entered Bittensor's era of real-world adoption.
Top subnets are shipping real products, delivering valuable intelligence at cost-leader pricing, and fully integrated into clients' businesses: from SaaS to home hardware to data centers to gas stations.
Some examples: