The RBDSai Lab’s Substack
Sahil TanveerExploring the Frontier of AI in Architecture | Insights, Innovations, and Inspirations for the Future-Ready Architect.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
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rbdsailab.substack.comLatest Issues
Training Data, Fine-Tuning, LoRAs — The Path to a Studio-Trained AI
The base image model that ships out of Black Forest Labs, Stability AI, Google, Midjourney, or any other model lab is not born with a studio’s judgement. It is trained or adapted on vast mixtures of image-text material: filtered public web...
Multimodal — How AI Holds Text and Image Together
The popular shorthand for multimodal is that the AI can now see images. Not wrong — only shallow enough to make the next two years of architectural AI work harder than it needs to be. The deeper version: the model is aligning language, imag...
Diffusion — How AI Paints from Noise
The most useful word in image-AI is also the most badly named. We say the model “generated” an image—as if it began with a blank canvas and laid down strokes the way a draughtsman would. It did nothing of the kind. The model began with pure...
Tokens, Context, and Why AI Forgets Your Project Halfway Through
A practising architect, four weeks into a residential project, asks the model to refine the kitchen detailing. The model returns a confident, well-composed proposal — and quietly drops the constraint, established in week one, that the clien...
What AI Actually Is — A Probability Engine, Not a Computer
Most of the frustration architects report with AI is not a tool problem. It is a category mistake. The architect, trained for two decades to operate deterministic software — CAD, BIM, Revit, Photoshop, V-Ray — sits down in front of ChatGPT...
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Authors
The writers behind this newsletter.
Principal Architect at RBDS | AI & GenDesign Expert at RBDSai Lab | Author of "Delirious Architecture" | Public Speaker & Educator | Mentor for Aspiring Architects
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