Engineering·8 min read
Building Nix: ML-Powered Notification Prioritization
How we trained a model to understand notification context and urgency. A deep-dive into our approach to on-device ML for notification management.
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Research
Technical deep-dives, lessons from building, and our perspective on applied AI. We publish what we learn.
Company·5 min read
Why We Started Costfunc
The gap between AI research and real-world products, and our approach to bridging it. What we believe about applied AI and why we build the way we do.
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Research·12 min read
On-Device ML: Tradeoffs and Decisions
Privacy-first AI isn't just a feature. It's an engineering philosophy. Here's how we think about the tradeoffs involved in on-device machine learning.
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