AI has the same problem that I saw ten year ago at IBM. And remember that IBM has been at this AI game for a very long time. Much longer than OpenAI or any of the new kids on the block. All of the shit we’re seeing today? Anyone who worked on or near Watson saw or experienced the same problems long ago.
LLMs are good at transforming text into less text
Laurie is really onto something with this:
This is the biggest and most fundamental thing about LLMs, and a great rule of thumb for what’s going to be an effective LLM application. Is what you’re doing taking a large amount of text and asking the LLM to convert it into a smaller amount of text? Then it’s probably going to be great at it. If you’re asking it to convert into a roughly equal amount of text it will be so-so. If you’re asking it to create more text than you gave it, forget about it.
Depending how much of the hype around AI you’ve taken on board, the idea that they “take text and turn it into less text” might seem gigantic back-pedal away from previous claims of what AI can do. But taking text and turning it into less text is still an enormous field of endeavour, and a huge market. It’s still very exciting, all the more exciting because it’s got clear boundaries and isn’t hype-driven over-reaching, or dependent on LLMs overnight becoming way better than they currently are.
Next time you’re frustrated by a website that doesn’t provide an RSS feed, try using this tool:
Transform any old website with a list of links into an RSS Feed
Unlike many people, I’m not particularly worried about AI replacing peoples’ jobs, although employers will certainly try and use it to reduce their headcount. I’m more worried about it transforming jobs into roles without agency or space to be human. Imagine a world where performance reviews are conducted by software; where deviance from the norm is flagged electronically, and where hiring and firing can be performed without input from a human. Imagine models that can predict when unionization is about to occur in a workplace. All of this exists today, but in relatively experimental form. Capital needs predictability and scale; for most jobs, the incentives are not in favor of human diversity and intuition.
Boom! The Clearleft podcast is back!
The first episode of season four just dropped. It’s all about design transformation.
I’ve got to be honest, this episode is a little inside baseball. It’s a bit navel-gazey and soul-searching as I pick apart the messaging emblazoned on the Clearleft website:
The design transformation consultancy.
Whereas most of the previous episodes of the podcast would be of interest to our peers—fellow designers—this one feels like it might of more interest to potential clients. But I hope it’s not too sales-y.
You’ll hear from Danish designer Maja Raunbak, and American in Amsterdam Nick Thiel as well as Clearleft’s own Chris Pearce. And I’ve sampled a talk from the Leading Design archives by Stuart Frisby.
The episode clocks in at a brisk eighteen and a half minutes. Have a listen.
While you’re at it, take this opportunity to subscribe to the Clearleft podcast on Overcast, Spotify, Apple, Google or by using a good ol’-fashioned RSS feed. That way the next episodes in the season will magically appear in your podcatching software of choice.
But I’m not making any promises about when that will be. Previously, I released new episodes in a season on a weekly basis. This time I’m going to release each episode whenever it’s ready. That might mean there’ll be a week or two between episodes. Or there might be a month or so between episodes.
I realise that this unpredictable release cycle is the exact opposite of what you’re supposed to do, but it’s actually the most sensible way for me to make sure the podcast actually gets out. I was getting a bit overwhelmed with the prospect of having six episodes ready to launch over a six week period. What with curating UX London and other activities, it would’ve been too much for me to do.
So rather than delay this season any longer, I’m going to drop each episode whenever it’s done. Chaos! Anarchy! Dogs and cats living together!
A great write-up from Hidde on dConstruct 2022 and how the speakers tackled the theme of design transformation:
They talked about turning a series of penstrokes into art, lasers into fireworks, human experiences into novels and patient data collection into a minimal effort task.
A lot of our work in web design and technology has a power to transform and that is wonderful, especially when we manage to be intentional about the how and why.