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.
13 articles
About the AI in the browser thread
On-device AI is the technical bet the whole portfolio rests on, and this cluster is where the bet gets examined honestly. Running a model in a browser tab means the user's data never moves, which resolves the privacy problem structurally instead of by promise, but it also means running inside a memory budget, on whatever GPU is present, over a model you had to download first.
The articles cover both sides: how WebGPU and WebAssembly make local inference viable, what genuinely runs locally versus what still needs a server, what free cloud AI tools actually cost you in data, and whether any of it works offline. The recurring conclusion is that "private by design" is an architecture claim you can verify by watching the network tab, not a policy claim you have to trust.
What this topic covers
- Why on-device inference is private by design, and how to verify the claim yourself
- WebGPU and WebAssembly: what makes browser inference fast enough to use
- What runs locally today vs what still requires a server, as of 2026
- The privacy cost of free cloud AI tools, stated plainly
- Offline behaviour, model downloads, caching, and first-run cost
Who it's for
Developers evaluating client-side ML, privacy-conscious users deciding what to trust, and anyone trying to separate on-device marketing from on-device reality.
13 articles in this thread, newest first. Every one is free to read with no signup.
13 articles in this thread
AI in the browser · 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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AI in the browser · Jun 6, 2026
How big are in-browser AI models (and why size matters)
Why an on-device model is tens to hundreds of megabytes, and why that download is worth it.
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AI in the browser · 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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AI in the browser · 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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