Creativity cannot be computed
The slides from Hidde’s presentation at Beyond Tellerrand.
The slides from Hidde’s presentation at Beyond Tellerrand.
I hope to make something that could only exist because I made it. Something that is the one thing that it is. Not an average sentence. Not a visual approximation of other people’s work. Not a stolen concept that boils lakes and uses more electricity than anything in my household.
Using ChatGPT to complete assignments is like bringing a forklift into the weight room; you will never improve your cognitive fitness that way.
Another great piece by Ted Chiang!
The companies promoting generative-A.I. programs claim that they will unleash creativity. In essence, they are saying that art can be all inspiration and no perspiration—but these things cannot be easily separated. I’m not saying that art has to involve tedium. What I’m saying is that art requires making choices at every scale; the countless small-scale choices made during implementation are just as important to the final product as the few large-scale choices made during the conception.
This bit reminded me of Simon’s rule:
Let me offer another generalization: any writing that deserves your attention as a reader is the result of effort expended by the person who wrote it. Effort during the writing process doesn’t guarantee the end product is worth reading, but worthwhile work cannot be made without it. The type of attention you pay when reading a personal e-mail is different from the type you pay when reading a business report, but in both cases it is only warranted when the writer put some thought into it.
Simon also makes an appearance here:
The programmer Simon Willison has described the training for large language models as “money laundering for copyrighted data,” which I find a useful way to think about the appeal of generative-A.I. programs: they let you engage in something like plagiarism, but there’s no guilt associated with it because it’s not clear even to you that you’re copying.
I could quote the whole thing, but I’ll stop with this one:
The task that generative A.I. has been most successful at is lowering our expectations, both of the things we read and of ourselves when we write anything for others to read. It is a fundamentally dehumanizing technology because it treats us as less than what we are: creators and apprehenders of meaning. It reduces the amount of intention in the world.
Now we have this collision of those who, with the specific intent of creative expression, make things that are wholly the product of their unique experience and skills and offer them in the marketplace. Then there are those who use machines to produce derivatives of other’s creative work to offer as products in the marketplace. Both are seeking an audience and financial benefit for their offering.
Those who wholly manufacture creative works are asking the same value be put on their imitation of creative expression as the value inherent with sentient creation. They are saying they deserve the same recognition—be that in respect, attention, acknowledgement or compensation—that works created by a person might receive. But they haven’t earned it.
Using generative AI is to ask What If but then hand off not only the responsibility and effort of answering the question but also accountability for the answer. When the machine creates something pleasing or marketable, it’s “look at what I did”. When the machine creates something terrible or wrong, it’s “not my fault, the machine did it”. The claim of ownership is conditional and only maintained if the output can generate value.
There’s so much to love here, like this:
My art is the story of how I have spent the time in my life.
And this:
The value of an idea comes from the execution of the idea.
Once you have reduced the concept of human intelligence to what the markets will pay for, then suddenly, all it takes to build an intelligent machine — even a superhuman one — is to make something that generates economically valuable outputs at a rate and average quality that exceeds your own economic output. Anything else is irrelevant.
By describing as superhuman a thing that is entirely insensible and unthinking, an object without desire or hope but relentlessly productive and adaptable to its assigned economically valuable tasks, we implicitly erase or devalue the concept of a “human” and all that a human can do and strive to become. Of course, attempts to erase and devalue the most humane parts of our existence are nothing new; AI is just a new excuse to do it.
Robin describes his experience of using a design system, having previously been one of the people making and enforcing a design system:
However it’s only now as a product designer that I realize just how much I want the design system to carefully guide me instead of brute-forcing its decisions onto my work. I want to fall into the loving embrace of the system because I don’t wanna have to think about hex values or button sizes or box shadows. I don’t want to rethink padding and margins or rethink the grid each time I design a page.
But by golly if a design system says “no” to me then I will do my very best to blow it up.
Continuous partial ick …or perhaps continuous partial cringe.
Anyways, maybe we’ll eventually get to the point where AI has that human “spark”, who knows. Maybe it’ll happen next month and I’ll eat my words. Until then, as most of the content we experience online becomes more grey and sludgy, the personal will become far more valuable.
There’s no AI substitute for a human-produced drawing of someone on the subway, even if a similar-or-even-better result could be produced in seconds by AI. The artifact is often less important than the process — the human process — that made it. That’s why I suspect videos of creative processes are so attractive; we are captivated by seeing humans doing human things.
Personally, I want software to push me not towards reusing what exists, but away from that (and that’s harder). Whether I’m producing a plan or hefty biography, push me towards thinking critically about the work, rather than offering a quick way out.
It’s like a little mini conference season here in Brighton. Tomorrow is ffconf, which I’m really looking forward to. Last week was UX Brighton, which was thoroughly enjoyable.
Maybe it’s because the theme this year was all around creativity, but all of the UX Brighton speakers gave entertaining presentations. The topics of innovation and creativity were tackled from all kinds of different angles. I was having flashbacks to the Clearleft podcast episode on innovation—have a listen if you haven’t already.
As the day went on though, something was tickling at the back of my brain. Yes, it’s great to hear about ways to be more creative and unlock more innovation. But maybe there was something being left unsaid: finding novel ways of solving problems and meeting user needs should absolutely be done …once you’ve got your basics sorted out.
If your current offering is slow, hard to use, or inaccessible, that’s the place to prioritise time and investment. It doesn’t have to be at the expense of new initiatives: this can happen in parallel. But there’s no point spending all your efforts coming up with the most innovate lipstick for a pig.
On that note, I see that more and more companies are issuing breathless announcements about their new “innovative” “AI” offerings. All the veneer of creativity without any of the substance.
I was content-buddying with one of my colleagues yesterday so Bobbie’s experience resonates.
There is something divine about creating. From building software to writing a book to completing a self-portrait, every act of creation is a miniature Genesis.
Speaking of doing things the long hard stupid way:
If you want to leave a fingerprint of talent on the world that lasts, get your hands dirty and practice your skill, because work that is beautiful and timeless demands dedication.
AI is great anything quantity-related and bad and anything quality-related.
Sensible thinking from Dan here, that mirrors what we’re thinking at Clearleft.
In other words, it leans heavily on averages; the closer the training data matches an average, the higher degree of confidence that the result is more “correct,” or at least desirable.
The problem is that this is the polar opposite of what we consider creativity to be. Creativity isn’t about averages. It’s about the outliers, sometimes the one thing that’s different than all the rest.
Considering the average website is less than ten years old, that old warning from your parents that says to “be careful what you post online because it’ll be there forever” is like the story your dad told you about chocolate milk coming from brown cows, a well-meant farce. On the contrary, librarians and archivists have implored us for years to be wary of the impermanence of digital media; when a website, especially one that invites mass participation, goes offline or executes a huge dump of its data and resources, it’s as if a smallish Library of Alexandria has been burned to the ground. Except unlike the burning of such a library, when a website folds, the ensuing commentary from tech blogs asks only why the company folded, or why a startup wasn’t profitable. Ignored is the scope and species of the lost material, or what it might have meant to the scant few who are left to salvage the digital wreck.
I did an episode of the Clearleft podcast on innovation a while back:
Everyone wants to be innovative …but no one wants to take risks.
The word innovation is often bandied about in an unquestioned positive way. But if we acknowledge that innovation is—by definition—risky, then the exhortations sound less positive.
“We provide innovative solutions for businesses!” becomes “We provide risky solutions for businesses!”
I was reminded of this when I saw the website for the Podcast Standards Project. The original text on the website described the project as:
…a grassroots coalition working to establish modern, open standards, to enable innovation in the podcast industry.
I pushed back on that wording (partly because I’ve seen the word “innovation” used as a smoke screen for user-hostile practices like tracking and surveillance). The wording has since changed to:
…a grassroots coalition dedicated to creating standards and practices that improve the open podcasting ecosystem for both listeners and creators.
That’s better. It’s more precise.
Am I nitpicking? Only if you think that “innovation” and “improvement” are synonyms. I don’t think they are.
Innovation implies change. Improvement implies positive change.
Not all change is positive. Not all innovation is positive.
Innovation goes hand in hand with disruption. Again, disruption involves change. But not necessarily positive change.
Think about the antonyms of change and disruption: stasis and stability. Those words don’t sound very exciting, but in some arenas they’re exactly what you should be aiming for; arenas like infrastructure or standards.
Not to get all pace layers-y here, but it seems to me that every endeavour has a sweet spot for innovation. For some projects, too little innovation is bad. For others, too much innovation is worse.
The trick is knowing which kind of project you’re working on.
(As a side note, I think some people use the word innovation to describe the generative, divergent phase of a design project: “how might we come up with innovative new approaches?” But we already have a word to describe the practice of generating novel and interesting ideas. That word isn’t innovation. It’s creativity.)
An excerpt from First Steps: How Upright Walking Made Us Human by Jeremy DeSilva.
A good ol’ rant by Vasilis on our design tools for the web.
Can you feel the energy?
When I wrote about democratising dev, I made brief mention of the growing “no code” movement:
Personally, I would love it if the process of making websites could be democratised more. I’ve often said that my nightmare scenario for the World Wide Web would be for its fate to lie in the hands of an elite priesthood of programmers with computer science degrees. So I’m all in favour of no-code tools …in theory.
But I didn’t describe what no-code is, as I understand it.
I’m taking the term at face value to mean a mechanism for creating a website—preferably on a domain you control—without having to write anything in HTML, CSS, JavaScript, or any back-end programming language.
By that definition, something like WordPress.com (as opposed to WordPress itself) is a no-code tool:
Create any kind of website. No code, no manuals, no limits.
I’d also put Squarespace in the same category:
Start with a flexible template, then customize to fit your style and professional needs with our website builder.
And its competitor, Wix:
Discover the platform that gives you the freedom to create, design, manage and develop your web presence exactly the way you want.
Webflow provides the same kind of service, but with a heavy emphasis on marketing websites:
Your website should be a marketing asset, not an engineering challenge.
Bubble is trying to cover a broader base:
Bubble lets you create interactive, multi-user apps for desktop and mobile web browsers, including all the features you need to build a site like Facebook or Airbnb.
Wheras Carrd opts for a minimalist one-page approach:
Simple, free, fully responsive one-page sites for pretty much anything.
All of those tools emphasise that don’t need to need to know how to code in order to have a professional-looking website. But there’s a parallel universe of more niche no-code tools where the emphasis is on creativity and self-expression instead of slickness and professionalism.
Create your own free website. Unlimited creativity, zero ads.
Make a website in 5 minutes. Messy encouraged.
unique tool for web publishing & internet samizdat
I’m kind of fascinated by these two different approaches: professional vs. expressionist.
I’ve seen people grapple with this question when they decide to have their own website. Should it be a showcase of your achievements, almost like a portfolio? Or should it be a glorious mess of imagery and poetry to reflect your creativity? Could it be both? (Is that even doable? Or desirable?)
Robin Sloan recently published his ideas—and specs—for a new internet protocol called Spring ’83:
Spring ‘83 is a protocol for the transmission and display of something I am calling a “board”, which is an HTML fragment, limited to 2217 bytes, unable to execute JavaScript or load external resources, but otherwise unrestricted. Boards invite publishers to use all the richness of modern HTML and CSS. Plain text and blue links are also enthusiastically supported.
It’s not a no-code tool (you need to publish in HTML), although someone could easily provide a no-code tool to sit on top of the protocol. Conceptually though, it feels like it’s an a similar space to the chaotic good of neocities.org, mmm.page, and hotglue.me with maybe a bit of tilde.town thrown in.
It feels like something might be in the air. With Spring ’83, the Block protocol, and other experiments, people are creating some interesting small pieces that could potentially be loosely joined. No code required.
I made the website for this year’s UX London by hand.
Well, that’s not entirely true. There’s exactly one build tool involved. I’m using Sergey to include global elements—the header and footer—something that’s still not possible in HTML.
So it’s minium viable static site generation rather than actual static files. It’s still very hands-on though and I enjoy that a lot; editing HTML and CSS directly without intermediary tools.
When I update the site, it’s usually to add a new speaker to the line-up (well, not any more now that the line up is complete). That involves marking up their bio and talk description. I also create a couple of different sized versions of their headshot to use with srcset
. And of course I write an alt
attribute to accompany that image.
By the way, Jake has an excellent article on writing alt
text that uses the specific example of a conference site. It raises some very thought-provoking questions.
I enjoy writing alt
text. I recently described how I updated my posting interface here on my own site to put a textarea
for alt
text front and centre for my notes with photos. Since then I’ve been enjoying the creative challenge of writing useful—but also evocative—alt
text.
Some recent examples:
A close-up of a microphone in a practice room. In the background, a guitar player tunes up and a bass player waits to start.
People sitting around in the dappled sunshine on the green grass in a park with the distinctive Indian-inspired architecture of the Brighton Pavilion in the background, all under a clear blue sky.
Looking down on the crispy browned duck leg contrasting with the white beans, all with pieces of green fried herbs scattered throughout.
But when I was writing the alt
text for the headshots on the UX London site, I started to feel a little disheartened. The more speakers were added to the line-up, the more I felt like I was repeating myself with the alt
text. After a while they all seemed to be some variation on “This person looking at the camera, smiling” with maybe some detail on their hair or clothing.
The beaming bearded face of Videha standing in front of the beautiful landscape of a riverbank.
Candi working on her laptop, looking at the camera with a smile.
Emma smiling against a yellow background. She’s wearing glasses and has long straight hair.
A monochrome portrait of John with a wry smile on his face, wearing a black turtleneck in the clichéd design tradition.
Laura smiling, wearing a chartreuse coloured top.
A profile shot of Adekunle wearing a jacket and baseball cap standing outside.
The more speakers were added to the line-up, the harder I found it not to repeat myself. I wondered if this was all going to sound very same-y to anyone hearing them read aloud.
But then I realised, “Wait …these are kind of same-y images.”
By the very nature of the images—headshots of speakers—there wasn’t ever going to be that much visual variation. The experience of a sighted person looking at a page full of speakers is that after a while the images kind of blend together. So if the alt
text also starts to sound a bit repetitive after a while, maybe that’s not such a bad thing. A screen reader user would be getting an equivalent experience.
That doesn’t mean it’s okay to have the same alt
text for each image—they are all still different. But after I had that realisation I stopped being too hard on myself if I couldn’t come up with a completely new and original way to write the alt
text.
And, I remind myself, writing alt
text is like any other kind of writing. The more you do it, the better you get.