AI content generators - like Midjourney, DALL-E, and Stability AI - are a capturing the imagination of professional designers, artists, and architects. This article explores some important pragmatic considerations and risks for professionals adopting today's AI generator tools in their professional work.
Three Ways People Learn – Creating Meaningful Learning Experiences (Part I)
Owners, builders, and architects alike continue to face common challenges positioning technology in their day-to-day workflows. Recently, we engaged with an architecture firm who had robust training materials, well-defined standards and templates, and a robust centralized content management system to beat. Even with these investments, the group reported to us that many of their teams … Continue reading Three Ways People Learn – Creating Meaningful Learning Experiences (Part I)
Free Generative Design – A brief overview of tools created by the Grasshopper community
It is no secret that we’ve been critical of the recent framing of “generative design” as a technological trend largely driven by product marketing. We’ve instigated lively Twitter debates, a full-length podcast discussion, and critical positioning papers. “Generative” is a term that carries some important historic context in the domains of computer science, art, and … Continue reading Free Generative Design – A brief overview of tools created by the Grasshopper community
A Summer of Sensors – Part 2
In my last post, I published new work by our 2019 summer research team. Maddie and Anna have recently completed their summer with Proving Ground and I am happy to provide this new prototype that is a continuation of research into uses of the Raspberry Pi. In this study, the team created a scenario that … Continue reading A Summer of Sensors – Part 2