ai Posts
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A case for AI-pragmatism - leverage cheap compute while it's here
Make the most of cheap compute to do cool things.
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Series: Listenr, Data & Fine-Tuning Whisper · Part 1How I locally fine-tuned Whisper using my own voice data and some effort
Off-the-shelf Whisper models are impressive but struggle with personal vocabulary, accents, and jargon not present in their training data. This post covers why standard open datasets fall short for personal fine-tuning and how I built Listenr to continuously capture and transcribe my own conversational audio as a training set.
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Making Firefox's AI Chatbot local-only with Lemonade
Firefox's AI chatbot sidebar can talk to a local Lemonade server. One CLI command and one about:config flip and your prompts never leave your machine.
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LLM generated 3D modeling is the way to go
After hitting walls with FreeCAD, TinkerCAD, and Fusion 360, I discovered that scripting 3D models in OpenSCAD with an LLM produces precise, reusable parts faster than any GUI-based workflow I tried. Two prompts into ChatGPT, I had a working pipe reducer printed and in hand.
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Automate Everything: LLMs and Bash Scripts Mean Saved Time
Using LLMs to generate deterministic scripts rather than running real-time AI agents is a more reliable, testable, and repeatable approach to automation. This post explains the strategy, shares real examples from managing this blog, and covers how to keep the output production-ready.
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Rethinking Library Dependencies in the GenAI age
Large language models are changing the calculus on when to reach for a third-party library versus generating a lightweight, purpose-built implementation. This post examines the tradeoffs and where a hybrid approach of GenAI-generated code refined by a developer makes the most practical sense.