HeyJaredThe AI-Ready Localizer
The AI-Ready Localizer explores how multilingual ontologies, market intelligence, and data governance transform localization from translation into AI-powered, intent-driven global growth.
- Indexed issues, last 90 days
- 17
- Latest publication
- Sep 29, 2026
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- Earliest in this view
- Aug 8, 2026
Latest issues
Thin client vs. thick client (opens the original)
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A thin client does little more than display what a server sends and pass input back. The server renders the interface and holds the business logic and most state. The appeal is central control: one deployment, instant updates, little device dependence, and data that stays on the server. The costs are that it needs a connection, feels only as responsive as the network, and scales server load with every user.A thick (fat/rich) client runs substantial logic, rendering, and often data storage on the
Pragmatic noise (opens the original)
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Pragmatic noise is interference in communication that arises at the level of use and context rather than at the level of the signal or the code. The message is transmitted intact and is grammatically and lexically decodable, but the intended meaning doesn’t land because speaker and hearer don’t share the contextual assumptions needed to recover it. The failure is in inference, not reception.<a class="image-link image2 is-viewable-img" href="https://substackcdn.com/image/fetch/$s_!MqLD!,f_auto,q_
Every Token Counts, in Every Language (opens the original)
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Jenna Massardo published some months ago one of the clearest explanations I’ve read of how AI coding assistants spend their attention: Token Optimization for AI-Assisted Development. It’s written for developers using GitHub Copilot, but the principles apply to any system where a language model reads context and generates output.That includes the multilingual AI assistants many of us are now being asked to support.So this post has two halves. First, I’ll
Grand, So: What Almost Ten Years of Irish Politeness Did to My Spanish (opens the original)
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I. The goodbye that would not endPicture a doorway in Cork. It is raining, obviously. I am on the outside of it, in a coat, with my keys in my hand, and I have been “leaving” for eleven minutes.“Right so.”“Right.”“Grand.”“Go on, go on.”“I will, I will.”“Mind yourself now.”“You too. Right so.”“Right.”Nobody has moved. This is not a malfunction. This is a liturgy. Every Irish farewell is a small ceremony in which both parties reassure each other, several times, that nobod
Quick learnings on natural language understanding (opens the original)
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NLU looks solved until you push on it. The failures cluster in predictable places, and knowing where they are is more useful than knowing the architectures.Meaning isn’t in the words. Most of what a sentence “means” comes from context, shared assumptions, and pragmatics, not the literal tokens. “Can you pass the salt?” is a request, not a yes/no question.Ambiguity is the default, not the exception. Syntactic (”I saw the man with the telescope”), lexical (”bank”), and referential (”she said she’d
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