Product blog

Product blog

Product updates, field guides, and field notes—each with links to docs and the hub where relevant. High-level milestones also appear on the changelog.

  1. A photo at a fork between an upload-to-cloud path and an on-device path, with a privacy checklist

    Field guide · Jun 12, 2026

    Are AI photo editors safe? What to check before you upload

    Where your photo actually goes in an AI editor, how to read the privacy policy, the on-device alternative, and a quick checklist before uploading anything personal.

    • Where your photo goes
    • Reading a privacy policy
    • A pre-upload checklist

    NSS Background Remover

    Read
  2. A large model made of high-precision numbers being compressed into a much smaller model of low-precision integers, shrinking from a download too big for a browser to one that fits

    Field guide · Jun 12, 2026

    Model quantization: how big AI models shrink to run in a browser

    A plain-English explanation of the technique that makes on-device AI possible: why a model’s size is the gatekeeper for running it in a browser, what a model actually is under the hood, how quantization stores its numbers in fewer bits for a roughly four-times reduction, why models tolerate the lost precision, what it costs in accuracy, and how it combines with distillation and pruning.

    • A model is billions of numbers
    • Fewer bits ≈ 4× smaller
    • Tiny accuracy cost, huge size win

    NSS Background Remover

    Read
  3. A two-column map of what on-device AI can do today versus where it still hits a wall

    Field guide · Jun 8, 2026

    What on-device AI can't do yet

    The honest edges of in-browser AI: frontier models, heavy video, tight memory, and when a fallback wins.

    • Frontier models stay cloud-bound
    • Phone memory has a ceiling
    • Sometimes a fallback wins

    NSS Background Remover

    Read
  4. Why on-device AI is private by design

    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.”

    • Structural, not policy
    • No upload, no log
    • The model comes to you

    NSS Background Remover

    Read
  5. What AI runs on your device versus in the cloud

    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.

    • On-device: many tasks
    • Cloud: huge models
    • How to tell

    NSS Background Remover

    Read
  6. How AI runs in your browser with WebGPU and WebAssembly

    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.

    • WebGPU uses your GPU
    • WASM is the fallback
    • No install needed

    NSS Background Remover

    Read
  7. The privacy cost of free AI tools

    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.

    • Uploads = exposure
    • Read the terms
    • Free + private is possible

    NSS Background Remover

    Read
  8. Do browser AI tools work offline?

    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.

    • Works after first load
    • PWA + cached model
    • No connection needed

    NSS Background Remover

    Read
  9. A bar chart comparing in-browser AI model download sizes across Fast, Balanced, Best and frontier tiers

    Field guide · 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.

    • ~80 MB Fast, ~180 MB Best
    • Downloads once, then cached
    • Size is the price of privacy

    NSS Background Remover

    Read
  10. A user-hosted ONNX model URL loading into the browser and running with WebGPU and a WASM fallback

    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.

    • Host your own ONNX at a URL
    • WebGPU primary, WASM fallback
    • Seven swappable capabilities

    NSS Background Remover

    Read