Dan wrote an interesting post with a somewhat clickbaity title; This Competition Exposed How AI is Reshaping Design:

I watched two designers go head-to-head in a high-speed battle to create the best landing page in 45 minutes. One was a seasoned pro. The other was a non-designer using AI.

If you can ignore the title (and the fact that Dan still actively posts on Twitter; something I find very hard to ignore), then there’s a really thoughtful analysis in there.

It’s less about one platform or tool vs. another more than it is a commentary on how design happens, and whether or not that’s changing in a significant way.

In particular, there’s a very revealing graph that shows the pros and cons of both approaches.

There’s no doubt about it, using a generative large language model helped a non-designer to get past the blank page. But it was less useful in subsequent iterations that rely on decision-making:

I’ve said it before and I’ll say it again: design is deciding. The best designers are the best deciders.

Dan finishes by saying that what he’d really like to see is an experienced designer/decider using these tools to turbo-boost their process:

AI raises the floor for non-designers. But can it raise the ceiling for designers?

Meanwhile, Matt has been writing about Vibe-designing. Matt is an experienced designer, but he’s not experienced with Figma. He’s found that he can work around that using a large language model:

Where in the past 30 years I might have had to cajole a more technically adept colleague into making something through sketches, gesticulating and making sound effects – I open up a Claude window and start what-iffing.

The “vibe” part of the equation often defaults to the mean, which is not a surprise when you think about what you’re asking to help is a staggeringly-massive machine for producing generally-unsurprising satisfactory answers quickly. So, you look at the output as a basis for the next sketch, and the next sketch and quickly, together, you move to something more novel as a result.

Interesting! Just as Dan insisted, the important work is making the decision and moving on to the next stage. If the actual outputs at each stage are mediocre, that seems to be okay, as long as they’re just good enough to inform a go/no-go decision.

This certainly seems more centaur-like than the usual boring uses of large language models to simply do what people are already doing.

Rich gets at something similar when he talks about using large language models for prototyping, where it’s okay if the code is kind of shitty:

If all you need is crappy code to try out a concept or a solution, then an LLM might well enable you (the designer) to do that.

Mind you, even if you do end up finding useful and appropriate ways to use these tools, you’re still using a tool built on exploitation and unfairness:

It’s hard (and reckless) to ignore the heartfelt and cogent perspective laid out by Miriam on the role of AI companies in the current geopolitical crisis:

When eugenics-obsessed billionaires try to sell me a new toy, I don’t ask how many keystrokes it will save me at work. It’s impossible for me to discuss the utility of a thing when I fundamentally disagree with the purpose of it.

I’ve had my head down for the past six months putting the line-up for UX London together. Following the classic design cliché, the process was first divergent, then convergent.

I spent months casting the net wide, gathering as many possible candidates as I could, as well as accepting talk proposals (of which there were lots). It was fun—this is when the possibility space is wide open.

Then it was crunch time and I had to start zeroing in on the final line-up. It wasn’t easy. There were so many times I agonised over who’d be the right person to deliver the right talk.

But as the line-up came together, I started getting very excited. And now when I step back and look at the line-up, I’m positively vibrating with excitement—roll on June!

I think it was really useful to have a mix of speakers that I reached out to, as well as talk proposals. If I was only relying on my own knowledge and networks, I’m sure I’d miss a lot. But equally, if I was only relying on talk proposals, it would be like searching for my keys under the streetlight.

Putting the line-up on the website wasn’t quite the end of the work. We got over 100 proposals for UX London this year. I made sure to send an email back to each and every one of them once the line-up was complete. And if anyone asked for more details as to why their proposal didn’t make it through, I was happy to provide that feedback.

After they went to the trouble of submitting a proposal, it was the least I could do.

Oh, and don’t forget: early-bird tickets for UX London are only available until Friday. Now’s the time to get yours!

I left Twitter in 2022. With every day that has passed since then, that decision has proven to be correct.

(I’m honestly shocked that some people I know still have active Twitter accounts. At this point there is no justification for giving your support to a place that’s literally run by a nazi.)

I also used to have some Twitter bots. There were Twitter accounts for my blog and for my links. A simple If-This-Then-That recipe would poll my RSS feeds and then post an update whenever there was a new item.

I had something something similar going for The Session. Its Twitter bot has been replaced with automated accounts on Mastodon and Bluesky (I couldn’t use IFTTT directly to post to Bluesky from RSS, but I was able to set up Buffer to do the job).

I figured The Session’s Twitter account would probably just stop working at some point, but it seems like it’s still going.

Hah! I spoke too soon. I just decided to check that URL and nothing is loading. Now, that may just be a temporary glitch because Alan Musk has decided to switch off a server or something. Or it might be that the account has been cancelled because of how I modified its output.

I’ve altered the IFTTT recipe so that whenever there’s a new item in an RSS feed, the update is posted to Twitter along with a message like “Please use Bluesky or Mastodon instead of Twitter” or “Please stop using Twitter/X”, or “Get off Twitter—please. It’s a cesspit” or “If you’re still on Twitter, you’re supporting a fascist.”

That’s a start but I need to think about how I can get the bot to do as much damage as possible before it’s destroyed.