Machine Learning

Development, Machine Learning, neurodivergence

SelfOS: Visions of a Personal Agent

As we begin crossing a new productivity frontier with the availability of large language models and advances in artificial intelligence algorithms, I’ve been thinking a lot about the use of these tools in helping us introspect and communicate. Enter the idea of SelfOS. My long-term vision for SelfOS is ambitious – a personal operating system for anyone. In practice, there will be infinite ways of building a SelfOS. It’s not a single technology stack, but instead a series of principles grounded in the belief that technology should be used as a tool to empower individuals, rather than as systems of oppression.

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Development, Machine Learning, Mozilla Hubs, Spatial Computing

Authoring Immersive Environments with glTF for Multi-User Mixed Reality Web Applications

I was invited to give a lightning talk at the W3C Inclusive Design for Immersive Technology workshop about what we’re doing with scene authoring through Spoke for Hubs. As with many of my talks, I think they make better blog posts, and I’m excited to share this one with you today. About Hubs & Spoke For those of you who aren’t familiar with the work we’re doing a Mozilla on social mixed reality, Hubs is

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Development, Machine Learning, Spatial Computing

Captioning Three.js WebGL Canvas Elements with Machine Learning

I just skimmed back into an earlier blog post and realized that while I posted about leaving High Fidelity, I never actually updated with where I was headed. I didn’t post it here, though I did an announcement on Twitter with the news: I joined Mozilla back in March to work on their Mixed Reality initiatives, and finally have been able to go full-time into open source, web-based, asymmetric social 3D / VR spaces. Working

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