On genAI: Was prototyping really a bottleneck? | Frank Elavsky
I keep hearing folks claim that the fact we can ‘prototype’ so quickly now is a good thing (thanks to modern genAI). But what if the slow parts about prototyping are actually what makes it worth doing?
(This post is a part of my new mantra moving to Cal Poly SLO: “move SLO and repair things,” which is in direct tension with the mantra from the tech industry “move fast and break things” as well as a play on the abbreviation of San Luis Obispo, where I will soon work. I want to cultivate a research culture and lifestyle focused on maintenance, careful deliberation, and care , as defined in the feminist sense of the word.) Ever since ChatGPT, folks have frequently remarked something along the lines of, “LLMs are so fast, now we can easily scaffold prototypes! Finally, the bottleneck is gone!” B
related reading
- Drowning in Demos? Here’s a Better Way to Prototypeevery.to
- How to Build a Truly Useful AI Productevery.to
- Paul Buchheit: Communicating with codepaulbuchheit.blogspot.com
- AI Design Field Guideaidesignfieldguide.com
- I Will Fucking Piledrive You If You Mention AI Again — Ludicityludic.mataroa.blog
- Video Game Prototype: A Beginner's Guidegamedesignskills.com
- Let your designs fail for the right reasons – Firefox UXblog.mozilla.org
- AI Design Field Guideaidesignfieldguide.com
- AddyOsmani.com - The value of a prototype is in the insight it imparts, not the code.addyosmani.com
- The Long History of Prototypes - Limnlimn.press
- Sporadicamichaelnotebook.com
- The AI Unbundling – Stratechery by Ben Thompsonstratechery.com