Say I wanted to make an app that recognizes avocado toast, and I have an AI model ready to go. All I need to do is feed it some pictures of avocado toast. So the next time I’m out for brunch, I order avocado toast and take a picture: One image in the bag! And …
I Fed Avocado Toast To An AI and Here’s What Happened Read More »
Introduction We like the idea of being able to do computation and programming in a natural way, in real time, in space in front of us. We like using the knowledge in our hands and bodies to think faster and better than our minds could do with words alone. We believe new paradigms for spatial …
Combination Physical and Virtual Tools for Spatial Computation Read More »
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 »
Introduction Recently my hands were craving computation. We were waiting on some VR hardware and software that would allow us to prototype and design computational tools with our hands and bodies, but I got impatient and decided to go physical in the mean time. And so I picked up some littleBits kits, and also fired …
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 »
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 »
