A design pattern for local AI workflows, illustrated through a UDRP-inspired domain-risk pipeline In 1913, at Highland Park, Ford's engineers broke the assembly of a flywheel magneto into 29 one-man...
Read →Ten weeks have passed since we received our Playground allocation. Our GPU budget is almost spent, with fewer than 10 hours remaining. We are grateful to the EuroHPC AI Factory...
Read →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 →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 →Over the past few months, we have been refining our domain name segmentation pipeline, experimenting with a variety of models to split domain strings into meaningful words. During this process,...
Read →DKSplit on EuroHPC Series #6 In our previous posts, we ran experiments across multiple architectures on EuroHPC Leonardo: BiLSTM-CRF, DeBERTa-V3, CANINE, CharBERT, ByT5-CRF, and generative LLMs. Each architecture brought incremental...
Read →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 →Short .com domains are among the most sought-after digital assets. Single-letter names like x.com, two-letter codes like ai.com ($70M), and three-letter names like NAS.com ($1.25M) command premium prices and sit...
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