How to Build AI Workflows You Can Trust | Infactory’s Brooke Hartley Moy

**Andrew Zigler** (0:06)
Welcome to Dev Interrupted. I'm your host, Andrew Zigler.

**Ben Lloyd Pearson** (0:09)
And I'm your host, Ben Lloyd Pearson. This week, we're talking about the latest in a series of thoughtwork memos on AI and the increasing divide between executive employees on their AI usage. But I think, Angie, you had something you wanted to bring up first.

**Andrew Zigler** (0:23)
Oh yes, so a little birdie told me that you got a lot of attention on social media in the last week or two. And when you and I chatted about it, it seems like it happened when you didn't have any phone service. Do you want to talk about it?

**Ben Lloyd Pearson** (0:36)
It was a little fun. So I posted this article about Sam Altman saying that US copyright law is holding back AI. And I designed it to be a little inflammatory. I'm going to admit that. But still think I made a good point. It was funny because I posted it right before I left on vacation and checked my cell phone many hours later when it had hundreds of comments. And of course, had to turn off notifications. But my controversial opinions on copyright set aside, I seem to have waded into the front lines of this brewing conflict that I've seen not just on my own page, but elsewhere on social media. And that is between creative professionals and software developers. So people that are in these creative lines of work, like designers, musicians, artists, they are really starting to witness a lot of the disruptive effects of AI. But unlike professions like software development, they don't really seem to be receiving a whole lot of the benefits that it brings along with it. So you know, I think about software developers, like they really are experiencing a lot of things that accelerate, that help improve quality, that help them learn new things. And the benefits have been way more substantial. But you know, in the background, we've also kind of covered in the past how like Chinese companies are now entering this space. And you know, they have zero obligation to respect Western copyright. So I kind of have every reason to believe that this disruption that creative professionals are feeling right now is probably only going to continue to grow. Like even if Sam Altman and others can't train their models on copyrighted content. You know, I wore my fixed copyright shirt today because this really matters. This is a matter I can talk way too long about. And most people's eyes just glaze over. But I hope one thing we can't actually agree on is that today's copyright laws really do need to be rethought because I just simply don't think they're going to work in the AI era. AI was never anticipated when copyright was created.

**Andrew Zigler** (2:32)
Isn't it funny how timing works? How you can post any other time while you're at work or dedicated to being online and you don't get much attention, but then you post something and YOLO throw your phone to the side and you disconnect from the world and you come back and suddenly everyone's pointing at you and you have all this unwanted attention.

**Ben Lloyd Pearson** (2:50)
I thought I wasn't even going to post this one and I just did it because why not? I was like, it's content that I wrote, so I might as well post it.

**Andrew Zigler** (2:58)
Something you mentioned about people in creative work, they're feeling the disruptive effects of AI, but they're not really feeling a lot of the benefits. I think this really underscores a lot of the disconnects right now that I see between techs and creatives. As someone in more of like a creative role who works in tech, I feel like I'm often stuck between two opposing worldviews a lot of the time when I talk about how I work or what I do. And I know many others are in similar positions. And something I've noticed is that when we use AI for knowledge work in tech, we say context is king. That's what drives good copywriting, good code, good decision management across multiple iterations. But when you're using AI for creative work, cohesion is king. That means that the changes we want to apply with AI need to match the rest of the piece or what we had in mind for it. Otherwise, it's really hard to iterate. And this is a completely different set of problems and solutions. You know, in-painting is one of these ways that technologists working with AI to do creative work can change things, but there's still so much to tap into and explore. That cohesion ultimately is what relates that piece with everything else. You see a Van Gogh. You know it's Van Gogh because of the brush strokes, and you know it's an impressionist painting because of how those brush strokes relate to each other.