Imperfect

ai isn't frictionless

Inspired by Yordi's AI Shouldn’t Replace What We Love to Do.

What distinction must there be between using AI and humans learning new things to apply? AI itself is a new thing to learn that one could argue "humans have a critical need to develop their skills and their ability to learn new things" for. Even if it isn't critical in the long run, one could still practice tending that field. The more knowledge about the subject (or any other) that you have, the better you can assess the quality of relevant work produced by yourself and others.

More involved paradigms compared to text conversations and image generators could help ingrain how involved AI can be from a producer or consumer standpoint. I only scratch the surface with examples like developing node-based workflows, fine-tuning large language models, or connecting AI and platforms using Model Context Protocol.

In what people are not realising about sama and jony video, Sheev points out the friction in adoption and even the most rudimentary of AI processes despite how advanced the tech has become.

From the adoption perspective, what proportion of people in your life are AI power users?

From the process perspective, how many steps can it take to get to what you ultimately want out of AI?

From both perspectives, what level of satisfaction do AI users have for maximizing AI potential, particularly on form factors besides desktop or local ecosystems?

All this to say that AI isn't quite as easy as people make it out to be, nor anywhere as easy as it could possibly be. There is much education to be had within the realm of AI, particularly for myself.

Treating artificial intelligence as tools to practice with and wield with care can cement you as the architect of your own creation. The same goes for cameras, pencils, or any other tools which were crafted via many different collaborative entities within the global supply chain. Speaking of other tools, the more I read sentences which include "AI", the more I think about swapping it out with them to see how sensible the sentence is afterward.

How do you use tools to reduce the friction of what you love to do? How can that mentality be transferable toward artificial intelligence or any other future technological development that you are remotely open to experimenting with?

Our tools aren't replacing us. They invent novel ways to enjoy existing things which paves the way for new things to repeat the process with. Can you find the power within yourself to replace fears of replacement with augmenting yourself to do what you love to do, but better?

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