The Best Of The Internets

This is an important piece about where power actually lives on the web: not in the specification itself, but in whether powerful players choose to participate, implement, and ship.

I also appreciate Mark’s call for more ambition here. Too often, we talk about the web as if it’s destined to be an OS for web apps rather than a public-interest platform in its own right. That’s not inevitable. But getting somewhere better requires recognizing that refusal, delay, and strategic disinterest can be every bit as consequential as formal opposition.

This is a terrific demonstration of how far the platform has come: a richly styled <select> that leans on native semantics, native accessibility, and progressive enhancement instead of fighting the browser.

What I especially appreciate here is the restraint. Yes, there’s some clever CSS and a little JavaScript to help with positioning, but the whole thing is built on top of the platform, not in spite of it. That’s the interesting takeaway for me: we can build interfaces that feel bespoke without throwing away the reliability and accessibility native controls already give us.

People are not static, we are dynamic. In order to meet our needs at any point in our lives or day, the UIs we create must be able to adapt to us — not the other way around.

A few years ago, a couple students at the University of Washington asked me to come to their campus for a visit. They gave me a demo of an early prototype they’d been working on — a haptic feedback device that could allow someone who is Blind or low vision to follow a game. The demo took video data from a tennis match and mapped it onto the haptic tablet. It felt like Pong, but they had a bolder vision — tackling fast-moving and complicated sports like basketball, football, American football, and hockey.

I immediately invited them to pitch us for the AI for Accessibility Grant Program that I ran for Microsoft. With so much focus on assistive technology to enable folks to work and accomplish common life tasks, I loved that the OneCourt team was interested in enabling people with disabilities to enjoy leisure activities like sporting events. Moreover, I saw the potential to enable Blind and low-vision parents to experience their kids’ sporting events, which could be life-changing for them.

Needless to say, they wowed both me and the rest of the seleciton committee. We funded them to expand their prototypes and pursue partnerships with different professional sports leagues, teams, and venues. They were ambitious and it’s paying off.

Fast forward a few years and they’re enabling a handful of Blind & low vision sports fans to exerience the Super Bowl in a whole new way, using their technology. It’s amazing and I could not be more proud of them.

Congrats y’all!

Excellent post and primer on progressive enhancement. I particularly love this framing:

progressive enhancement is not about preventing failure, it’s about defining what must always work.

I also want one of those ”Wat als de JavaScript uit staat?“ stickers.

A recent paper from Forrester (commissioned by Microsoft, my employer), has confirmed my anedotal experiences are not outliers:

This new study, based on a 2025 online survey of 3,901 US consumers, confirms what many of us know: accessible technology empowers everyone. And with the rise of AI, we’re entering a new era of possibility. 

One of the stats that’s likely to be surprising to many people is that people who identify as having disabilities and those who don’t both use assistive technology features at nearly the same rate.

Full details of the research report are here: Oh, The Things We Can Do Together — How Assistive Technology Is Unlocking Human Potential In The Era Of AI

I think it’s really key to understand what AI is good for and where it falls short. Not just in terms of results, but in terms of externalities as well.

To that end, this is a piece worth reading. To me, the golden nugget is this (when discussing who will succeed with AI agents):

[T]he winners will be teams building constrained, domain-specific tools that use AI for the hard parts while maintaining human control or strict boundaries over critical decisions. Think less “autonomous everything” and more “extremely capable assistants with clear boundaries.”