15 korrents from this recording
Every claim below is a statement made in this recording, quoted word for word and linked to the second it was said, so you can hear it rather than take our word for it. The wording comes from the transcript published alongside the recording; the sentence above each quote is our reading of the claim, not their wording.
Their wordsReally flipping the script of like, instead what can I ask of this person, but like what can I offer them?
Their wordsI think any designer who's building projects, it's just such an incredible time that we live in to get to share with the internet online.
Their wordsPeople can really feel the excitement that you have, whether it's through a project or through notes or something that you're hosting. So just creating things that are artifacts of what you love and what you're passionate about, and putting it online.
Their wordsit really shows you that design engineering goes much deeper than the surface of how something looks. It's really having the context and the ability to take an intention and translate it into what the user is actually experiencing.
Their wordsI think it's so inspiring to be surrounded by people who make for the love of making, not because you're looking to wrap a specific project or, you know, just get something done because that's the finish line. It's really appreciating design as this journey of this practice that never ends.
Their wordsthere's always a minimum viable amount of learning that you need to get you to the next step, and then you backfill a lot.
Their wordsI think what AI is really good at doing is giving us artifacts, but they're not necessarily grounded in understanding of the system, which I think can be really great with making prototypes, little one-off experiments, but the moment you need to debug something, you're like, "Oh, man, I don't even know where to start."
Our reading
AI gives a very clear idea of what is possible, but it is still up to people to walk the terrain.
Their wordsBasically, now you have a very clear idea of like what is possible, but it's still up to us to walk the terrain.
Their wordsAnd I think with AI we're also moving up the layers of abstraction. So we're not writing every function by hand, like no one's doing that. But the more context that you do have about how it works under the hood, so how React works, you know, how our props being passed through, we're much better equipped to actually debug and build things that are resilient.
Our reading
People should use AI to scaffold their own learning and then flesh it out by building projects.
Their wordsI would really encourage people to just think about ways that they can use AI to scaffold their own learning and then to flush it out by building projects,
Their wordsI think it's so important to really be aligned at a conceptual level before we even start moving into like visual experiments and prototypes because I think one trap that we can fall into as designers is coming up with like a bunch of options and then picking one too early.
Their wordswhat are ways that you can represent things at scale in a very structured manner and when we returned to this idea of like grids uh rows and columns it makes a lot of sense because this is a paradigm that people are already familiar with.
Their wordsSo, staying broad, keeping all this context and then when something really grabs your attention, you're like, okay, now I have to build it out. Now I have to try it out. And then it's just continuing to return to like go broad and then go deep and repeating that process.
Our reading
Rather than having AI just do the task, people should use it to help build the right mental models.
Their wordsBut, I really encourage us to flip it and be like, "How can we use AI to help us build the right mental models that we need?
Their wordsI think for everyone, you know, it really depends on the context of like whether you just want to create a fun demo or prototype or whether this is a product that you want to sustain over time.