What are meetings for? Specifically, what are meetings between geographically distant people enabled by technology for? Does the technology we choose for that coming together change the kinds of underlying purposes we can achieve? It is part of the larger tech culture to, when possible, choose video calls over audio only. But when I speak …
. When I started writing this post, I thought I was analyzing the difference between working in a large physical space with working in a seemingly infinite virtual space. After all, when I start a new notebook or prototype in VR I am often deposited in a mostly blank environment with only a far-off horizon …
Environments and Stations: a preliminary phenomenology Read More »
Feel free to check out the video first then read here for a more in depth look at the tech, process and next steps. One of our team’s big goals is to create rich spatial collaboration tools for people working remotely. Evelyn lives in Boston, Vi in the mountains, and M in San Francisco, but …
I’ve been imagining again. This time it’s a way of working with nested scripting techniques for incorporating AI and other algorithms into a simple spatial code. There are a lot of ideas in this one, ideas I do not have full clarity on as research is still in progress. If you’re a reader of this …
Collaging Spatial Programming Techniques: Nested AI in ‘Gestural’ blocks Read More »
In this post we are going to explore my prototype of an XR interface for communal research on an archive, creating a machine learning model around that archive and then using conceptual arithmetic to explore the connections generated during the research. The project was an exploration of not only these speculative interfaces but of the …
Making and Using AI Together: an unscalable approach to interpretable ML Read More »
In this post we are going to walk through a proposal for a new mechanism for structuring on-demand work. For those new to this topic let me set the scene before we dive deep. On-demand work is work done by humans paid by the task, like per ride for Uber’s drivers, or per judgement for …
Trained Trust: A two-way, refereed feedback mechanism for on-demand work Read More »
Recently Governor Gavin Newsom announced that his administration plans to pursue a “data dividend” law in which businesses would be required to make payments to the state or consumers when their data is sold. In an effort to ensue the long term viability and cultural adoption of such a scheme I’m going to explore here …
Certified Sustainable: USDA Organic, LEED Platinum, and the future of ethical AI Read More »
An AI, in its least flattering light, is a giant pile of calculus and what ever bias it was fed by the humans who created its data set. And as AI are increasingly enmeshed in our culture, economy, safety, and personal decision making its terrifying not to have a handle on understanding how they work. …
Today, creating AI models is a process reserved for experts. Cleaning data, tuning hyper-parameters, specifying measurable success markers - all the tedious techniques central to data science workflows - are hurdles to wider use. So let’s imagine one way we might open AI creation to a mass audience. Not just by creating a GUI-fied creation …
Collage is the language of the moment, but has been for over 100 years. Let’s walk through where it came from (Dada), what it’s up to now (Instagram), and why it’s integral to the future of AI (Deep Fakes, GANS, and the ingrained copy). Yesterday: Dada While the technique of cut and paste in its …
We are Collage: Dada, Instagram, and the future of AI Read More »
