Streaming AI Responses from Server to Screen
I wrote previously about a partial JSON parser for extracting text from incomplete LLM responses as they stream in. That post covered one specific piece: …
I wrote previously about a partial JSON parser for extracting text from incomplete LLM responses as they stream in. That post covered one specific piece: …
This series has so far dealt with deployment. Where to host models, how to wrap them in compliance logic, which providers can serve inference, and how to verify …
This is the fourth post in a series on European AI sovereignty. I have covered why jurisdiction matters, how to handle UK-EU regulatory divergence in code, and …
I wrote previously about why jurisdiction matters for European AI platforms and then about how to handle the UK-EU compliance split in code. Those posts covered …
I wrote recently about building AI platforms under European sovereignty constraints. That post treated “Europe” as broadly singular. The reality is …
The Problem Is Not Capability# Most conversations about European AI start with benchmarks: parameter counts, the gap between Mistral and GPT-4, how far behind …
I read a piece this morning arguing that you shouldn’t trust software you didn’t “suffer” for. The premise being that personal struggle …
I’ve been building conversational AI features recently, and I hit an annoying problem: I want structured responses from the LLM (JSON with specific …
I’ve been thinking a lot about privacy consent lately. Not the legal side (though that matters) but the experience side. The way we currently handle …
I’m building an AI training tool for small language models that ultimately deploys on mobile. Nothing revolutionary there. It’s a natural endpoint …
I’ve been noodling around with the Model Context Protocol lately, and I wanted to share something I’ve built that demonstrates what I think is a …
In my previous post, I promised that the scene data was portable. That you could feed it to “a game engine, a GIS tool, a mapping API, whatever.” …