Category
AI in the browser
The technical and practical side of running AI on your own device — why on-device AI is private by design, what actually runs locally vs in the cloud, how AI runs in your browser with WebGPU and WebAssembly, the privacy cost of free AI tools, and whether browser AI works offline.
8 articles
Sub-topic
Field guide · Jun 7, 2026
Why on-device AI is private by design
The difference between “we promise not to look” and “the data physically cannot leave.”
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Field guide · Jun 7, 2026
What runs on your device vs in the cloud
A practical guide to telling on-device AI from cloud AI, and what each implies.
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Field guide · Jun 7, 2026
How AI runs in your browser (WebGPU and WebAssembly, explained)
A plain-language explainer of the browser tech that makes on-device AI fast enough to use.
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Field guide · Jun 7, 2026
The privacy cost of free AI tools
What "free" can really mean when your images or audio are uploaded to a server.
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Field guide · Jun 7, 2026
Do browser AI tools work offline?
How on-device AI tools keep working without a connection, and what still needs the network.
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Field guide · Jun 1, 2026
What CLIP zero-shot tagging does on your device
A plain explanation of CLIP zero-shot tagging, confidence scoring, and similarity search — and what it means that they run locally on your images.
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Field guide · May 30, 2026
Bring your own ONNX model: running your own weights in the browser
The logical end state of on-device AI — if the computation happens on your machine, the model does not have to be ours. How BYO-ONNX works and why it exists.
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Field guide · May 27, 2026
Is my data safe with browser AI tools? A plain-English audit
A practical, non-technical guide to whether your data is safe with browser-based AI tools — the upload-versus-on-device distinction, what each model protects, and a checklist for auditing any tool.
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