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
- When AI builds itself \ Anthropicanthropic.com
- slow ai: ai that matches a human’s pace - jenny y. huangjennyhuang19.github.io
- Intelligence is not the main bottleneck - by Ruxandra Teslowritingruxandrabio.com
- The biggest bottleneck for large language model startups is UX | by Davis Treybig | Innovation Endeavors | Mediummedium.com
- Society's Technical Debt and Software's Gutenberg Momentskventures.substack.com
- Drowning in Demos? Here’s a Better Way to Prototypeevery.to
- What We’ve Learned From A Year of Building with LLMs – Applied LLMsapplied-llms.org
- Musings on Building a Generative AI Productlinkedin.com
- Thoughts on slowing the fuck downmariozechner.at
- How to keep thinkingseangoedecke.com
- Does AI Progress Have a Speed Limit?—Asteriskasteriskmag.com
- Thoughts on AI in academiatheinfinitesimal.substack.com