DKSplit on EuroHPC: CharBERT and ByT5
In our previous update, we outlined a systematic search for a model with enough world knowledge to handle the cases that DKSplit cannot: multilingual compounds, brand portmanteaus, domain names that...
Read →Author: Xiaolei Wang
Built the data pipeline foundation and the staged AI pipelines on top of it. Runs model evaluation on EuroHPC supercomputers: measuring the smallest model each production task requires.
AI Domain Registration Trends: What 38 Million .com Domains Tell Us
Key findings: Weekly registrations of domains containing "agent" spiked to more than 3x their March 2025 baseline in early 2026, and were still running at roughly 1.7x by the end...
Read →From Domain Segmentation to Reading Domain Signals
Can a general-purpose open model assess brand threat without any task-specific training? We tested four model configurations on 25 public domain disputes and found that they already recognize many of the right signals. But their readings change when you change which facts are presented first.
Read →DKSplit on EuroHPC: Searching for a Teacher Model Across Architectures
Midterm report from EuroHPC Leonardo. We tested models across four architecture families. Each failed differently, and the search is narrowing.
Read →DKSplit Update: Cleaner Benchmark, First DeBERTa Run, Different Failure Modes
Continuing the work we started in our previous post. What We Did These Two Weeks Leonardo was in a planned maintenance window for most of the past two weeks. With...
Read →How to Read Domain Registration Trends Like a Market
Not every spike in newly registered domains is a real trend. This post explains the independence test behind DomainKits Keyword Trends: how different registrants, nameservers, timing, and usage patterns help separate real registration momentum from one-operator noise.
Read →A Two-Week Journey on EuroHPC Leonardo
Two weeks ago, we announced our access to the EuroHPC AI Factory Playground program. Today we want to share what we have accomplished and what we have learned. First, we...
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