Tarek Ziadé

WebNN is emerging as a portable, browser-friendly inference API.

Performance issues in Python often don’t look like bugs.

My whole stream in the past months has been about AI coding.

I have been writing code for a long time, long enough to be suspicious of tools that claim to fundamentally change how I work.

Artificial intelligence is becoming a foundational layer of modern software.

Over the past few weeks, I’ve been working on rustnn, a Rust implementation of the W3C WebNN specification.

In Part 1, I explained why high-quality alt text matters, how modern vision–language models can help, and why balanced, carefully curated datasets are essential for training.

Context: Improving Alt Text for Firefox Earlier this year, I built the backend for the local alt text generation feature in Firefox.

When I started working on AI at Mozilla two years ago, I was a Python developer with a background in web services and three months of machine learning experience from working on the Nuclia DB project.

For years, running machine learning in the browser meant juggling GPU support, WASM fallbacks, and flags.