AI-driven "Design"? An Article by Jorge Arango jarango.com Like 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.” aidesignintentabstraction
Two types of work An Article by Jorge Arango jarango.com There are two types of work: growth work and maintenance work. Growth work involves making new things. It can be something big or small. In either case, growth work often follows a loose process. Maintenance work is different. Maintenance work involves caring for the resources and instruments that make growth work possible. This includes tools, but also body and mind. Maintenance is ultimately in service to growth. But effective growth can’t happen without maintenance. As with so many things, the ideal is a healthy balance — and it doesn’t come without struggle. organizationinformationmakingwork
Internal design teams and thought leadership An Article by Jorge Arango jarango.com The design industry is an ecosystem. External design teams provide critical functions beyond augmenting internal design resources. Thought leadership — pushing the field’s boundaries — is indeed one of them. Many practices and tools we take for granted — journey maps, personas, conceptual frameworks — were pioneered and/or popularized by ‘outies.’ Most of the field’s foundational books and blogs are by people outside ‘client’ organizations. This isn’t because internal designers aren’t as clever or dedicated as their external colleagues. (Many ‘innies’ are former ‘outies.’) It’s because internal design roles are structurally misaligned with public thought leadership. designux
Not Just a New Feature; a New Compact A Fragment by Jorge Arango jarango.com My sense is that Slack’s teams think of themselves as adding ‘features’ to a ‘product,’ instead of as stewards of a place where people work. featuresplace
Coevolution and the bad take machine An Article by David R. MacIver notebook.drmaciver.com So when you have a bad take machine, you get the following processes: They make a bad take. People are outraged and talk about it. The bad take machine likes it and does more of that behaviour in future. If, on the other hand, they make a take and nobody cares, they do not get reward and the behaviour is selected against. The behaviours drove the spread of the outrage replicator, and the outrage replicator provides the selection mechanism for the behaviours. Thus, via the spread of our outrage on Twitter, we have operant conditioned the bad take machine into producing worse takes. Which is to say, it's bad on purpose to make you replicate it. How to write a high-engagement tweetA bad tweet is like a deepfake of an idea mediaanger