ai
AI-art isn’t art
An Essay by Erik HoelAI-generated artwork is the same as a gallery of rock faces. It is pareidolia, an illusion of art, and if culture falls for that illusion we will lose something irreplaceable. We will lose art as an act of communication, and with it, the special place of consciousness in the production of the beautiful.
…Just as how something being either an original Da Vinci or a forgery does matter, even if side-by-side you couldn’t tell them apart, so too with two paintings, one made by a human and the other by an AI. Even if no one could tell them apart, one lacks all intentionality. It is a forgery, not of a specific work of art, but of the meaning behind art.
app.wombo.art
An ApplicationAI-driven "Design"?
An Article by Jorge ArangoLike a programming language interpreter, GPT-3 translates the designer’s intent from a language they’re already familiar with (English) to one they need to learn (Figma’s information architecture, as manifested in its UI.) This can be easier for a new/busy designer, much like Python is easier and faster to work with than assembly language.
But that’s not “designing” — at least not any more than compiling Python code is “programming.” In both cases, all the system does is translate human intent into a lower level of abstraction. Sure, the process saves time — but the key is getting the intent part right. I’ll be convinced the system is “designing” when it can produce a meaningful output to a directive like “change the product page’s layout to increase conversions.”
On online collaboration and our obligations as makers of software
Is it the notetaking system that’s helping you think more clearly? Or is it the act of writing that forces you to clarify your thoughts?
Is it the complex interlinked web of notes that helps you get new ideas? Or is it all the reading you’re doing to fill that notetaking app bucket?
Is all of this notetaking work making you smarter? Or is it just indirectly forcing you into deliberate, goalless practice?
Towards a crap decision
You have a thing. You would like to improve said thing. So, you ask a bunch of people what they think, giving more weight to those with relevant expertise. It’s a time-tested strategy.
The pitfall here is that if the participants are aware of each other’s contributions, they will almost always automatically switch to consensus-building instead of providing their honest feedback. Worst case scenario: the bandwagon effect gathers steam and drives you toward a crap decision.
So much knowledge not being applied
Most organisations have a lot of documents and data floating around that hardly ever gets revisited or used. They all have research, reading, and relevant information collecting dust.
Stuff that should be informing the decisions and strategies of the company. Some of it sits unread in a knowledge base or a wiki. Some of it lies in the drives of individual employees who don’t have a way to share it productively.
So much knowledge not being applied!
Except that’s not how we work as human beings. If you haven’t read it, experienced it, and contextualised it, then it isn’t knowledge to you. Knowledge is a quality that people possess, not documents, and the only way to transfer it from one place to another is for people at both ends to apply themselves and make it their own.