In this op-ed, Nathan Miller demonstrates the ease and efficiency for generating AI content to 'fabricate a design process.' Is this a race to the bottom for design?
My Project Doesn’t Exist
First Impressions of Grasshopper 2 (alpha) from a Long-time User
AI Audio Summary and Discussion Want to learn about this topic in the background? Give this enthusiastic, AI-generated audio summary a listen (created using NotebookLM). Grasshopper 2 has been in the works for a while now, but with a steady stream of updates (including a notable and recent release last month) it’s entering a stage … Continue reading First Impressions of Grasshopper 2 (alpha) from a Long-time User
Weekly Workflow: Use LunchBox ML to Predict Solar Radiation
LunchBox includes Machine Learning components (LunchBoxML) that make Accord.NET and ML.NET workflows accessible within Grasshopper. These components allow users to train, save, and test machine learning models using a variety of algorithms. This example uses LunchBox’s Regression Trainer alongside Ladybug’s environmental modeling tools to predict incident solar radiation for an irregular surface.
Weekly Workflow: Quick, Dynamic Building Massing with LunchBox for Grasshopper
LunchBox's new building massing tools can help you quickly create massing schemes that fit specific boundaries, areas, and number of floors based on your project's unique goals.