
A view from the intersection of AI and creators.
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Hilary Mason
I think the future of entertainment looks really different and that it, it actually doesn't matter where the idea begins.
Rich Lamelo
That's Hilary Mason, the co founder and CEO of Hidden Door. They use generative AI to turn any work of fiction into an online social role playing game. Our Rich Lamelo talks to Mason about all this entails, including their Pride and Prejudice adaptation and parallels to Napster.
Interviewer
And let's kind of jump in where we are today. You know, as I mentioned at the top, you're the CEO and the co founder of Hidden Door. Tell us about Hidden Door. Tell us about kind of the thought process behind starting it, what it does and what your role is there.
Hilary Mason
Yeah, so what we do at Hidden Door is we partner with people who create worlds through movies, books, TV shows or online communities. All of that really wonderful world building energy. And we create ways for the fans to role play in those worlds. We do use AI and machine learning to make that possible. And our fans get to come in, create their own characters and sort of role play their own stories with a really light stat system where they get challenged, surprised they get to be creative. And it's all within the rules of the world, the rules of vip. And if there are characters from those worlds that appear, we enforce all the rules around how those characters ought to behave. So this is a way for fans to sort of fanfic as a game, stay excited about the thing that they love. I don't know about you, but when I finish reading a book, I usually have 20 different ideas for different plots or corners of that world. I would have loved to explore and to really do that in a way that reinforces and supports the authors and creators they admire. That's what we do at Hidden Door. But there is a long, long story about how we got here.
Interviewer
Love to hear it. Absolutely. That was question number two I have for you.
Hilary Mason
I mean the abbreviated version is that I've been working in this area of tech that is now called generative AI and a more broad take on it for a very long time. I went to grad school for miss Machine learning. I've been a computer science professor. Realized I was very mediocre at that. But I really love building things and I love building products for people. And I ended up moving back to New York City, which is where I am right now, also where I grew up, and joining a company called Bit Ly, which was just starting at the time. And we made short links on social media before social media was really a thing. And I had the job there of chief scientist which by the way is the best job title anyone can ever have because you have no real responsibilities other than to invent the future business opportunity for the company. So Bitly was just short links on social media and my job was to figure out how to use that data set to create a business is the most fun I've ever had. But that led me to start exploring language modeling and figuring out what people were paying attention to across the social web around the world. We built a lot of cool stuff. Stuff. Then I founded a company called Fast Forward Labs in 2014 and our very first project, we did our own applied AI research, was on language generation and we built a prototype that wrote real estate ads. And it would, you would put in structured data like, you know, two bedroom apartment near the park and it would write the ad where it would be like, oh, this, you know, sun filled home near transit will be your family's escape. That really got me thinking about the power and the, let's say, the perils of generating text and transforming text. And I'll skip a bunch of stuff that happened in the middle, but Cloudera acquired Fast Forward. We built a bunch of scaled enterprise applications using embeddings and text modeling that is essentially computable ways to understand and model information. And the whole time I was thinking all of the things that are limitations in doing this in an enterprise environment with standards for facts and things like that are assets. If we think about storytelling, if we think about creating a palette of options and letting people pick the ones or rewrite them or continue gaming adventures. I started Hidden Doors with my co founder Matt Brandwine five years ago with the idea that we were just at the beginning of the technical window and this was well before ChatGPT where we might be able to build a product like this and let's see where we can go with it. And now here we are five years later, we have a product in early access. If anyone wants to play it, go to Hiddendoor co and sign up for the wait list. We'll get you on in. It's been really incredible to see it all come together.
Interviewer
So let's say I finish reading a book and I think, oh man, I would love to kind of take this to the next level. And I kind of contact you folks at Hidden Door. Do I come to you with the idea and we kind of figure out how to do things or do we get in touch with the author or the show creator?
Hilary Mason
We work with the author and the creators and we have signed agreements with them to build games in their world. So we really want to do this from a place of respect and essentially building more value for them, helping them encourage their communities and fans to stay involved in the world. And so that's the strategy we've decided on. And so for any world where we have that kind of partnership, you can come in as a player and start to make your own characters and tell your own stories, which you can then share and other people can build on as well.
Interviewer
Okay, so it's almost like from the perspective of the author or the creator, this is a chance to engage directly with fans and a way to also presumably another revenue stream for them.
Hilary Mason
Exactly. That's the sales pitch, your fans active. We respect all the rules of the world. This is not just an LLM rapper. And it gives the fans a way to engage that is sort of blessed. It's real and where they also have the ability to be creative and have their own adventures.
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Interviewer
So obviously Hidden Door is bringing together storytelling, authors, creators as well as, you know, kind of through the lens of AI.
Hilary Mason
Yes.
Interviewer
It hasn't always been the case that those two domains are seen as complementary. So what's, what is the. I mean, it sounds like we kind of know what the pitch to the authors is, but do you ever get pushback like, oh no, I don't want my, my, you know, my baby presented in that way.
Hilary Mason
Or well, not that, not that thing, but we do get. I talk to skeptical people all the time and the skepticism is right. So if you look at the market and you look at what most people are Running around excited about. They're saying things like, oh, we don't need authors anymore. I'm just gonna like ask chatgpt or I'm gonna ask Claude and they're gonna write the next novel for me. And that's not true. And it's not what any of us, I think any of us want. It's not what matters. But yes, I talk to skeptics all the time. And if we really think about where that comes from, it comes from the fact that many of these large language models have been built off of these, this the author's work without their permission or even their knowledge in many cases, sure. Like I've written a book or two that they're in there too. I don't mind in the sense that it's not how I make my living. But if you have written, if you've written anything on fool.com, it's probably in there as well. Right? And that is not necessarily right. And so there is a, there is a real like ethical and principled reason for authors to be skeptical. And it is because of the actual behavior of many of the companies in the market, how a lot of the tech is built. And I have to say here, not ours at Hidden Door, but many of the people in the market are doing that. And how would they know the difference unless they talk to us? And I think it's one of the most important questions of the moment is sort of separating out the technology itself and then thinking about sort of the socio technical way that we relate to the technology, thinking about what our values are and how do we build tech and businesses that align with our values and are honest about where the data comes from, what we're using it for, what transformations happen. You could also say that I myself am a skeptic of a lot of the generative AI market. If that's not obvious, I'll just say it out loud and clearly because I think it's gone in a less than ideal direction. But I'm trying very much through our work at Hidden Door and our work with authors and creators to show a way that it could be done that is respectful and is values aligned and is revenue aligned as well. Because, you know, values are one thing, but it's important to put your money where your values are.
Interviewer
Yeah, and this isn't a perfect analogy, but as I, you know, kind of read about Hidden Door, I almost thought, this almost brings me back, you know, call it 25 or so years to when Napster came on the scene and oh, it's this great chance to create community and we can all access the music with one big flaw. The musicians got nothing for it. You know, I got to build up a, you know, my music list, my music catalog or library, whatever you want to call it. But you know, the Doobie Brothers don't profit from that. You've kind of taken that model and said, hey, we can get you compensated also.
Hilary Mason
Well, and I would say that that is a good analogy. But then you think about like, I remember Napster, it was awesome from a customer point of view. Like, any song you wanted was there and there were, you know, sort of recordings of live shows you couldn't get any other way. And we have nothing like that today. And also, musicians don't make enough money for their music. I think this is an example of how not to sort of architect an industry around a technical change. And hopefully we can do better this time.
Interviewer
Yeah, that's what I'm saying. It seems like you guys have figured out a way to take that great idea and figure out a way to make the creator a beneficiary.
Hilary Mason
We're trying and I think it is the right way. Whether we figure it out or someone else does, I think we need people out in the market building business businesses and trying to create examples of that.
Rich Lamelo
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Interviewer
What's the most kind of surprising thing that you found about building a company around kind of generative storytelling?
Hilary Mason
I would say the most surprising thing is more around what stories matter to our players in that I think I spend a bunch of time in the gaming industry and there's this thread where people are like, oh, generative AI And AI tech lets us have infinite games. And we've discovered through our own testing, nobody actually wants that. The things people want are their, their character, their adventure. And then they want moments that are the same as what everyone else is experiencing so they have something to talk about. And our players, I should say, they're not usually people who would say, oh, I'm a gamer. But they are people who read and they're people who watch tv and they're people for whom media is a big part of their social life. And I'm one of these people too. Like I talk to my friends about books. That's how I find out what I should be reading. And for this group of people at least, having infinite stories that are experienced alone is not that interesting. But having a shared point in time or a shared story or the ability to share it and say, hey, how did you meet Mr. Darcy in Pride and Prejudice? Or I got him to be a vampire. Did you get that those are the things that are actually meaningful? That was one that it did surprise me because there is a lot of energy going into infinite game worlds. Actually, that isn't what matters. What matters are the moments that are shared between our experiences because it gives us something to talk about and relate to each other about.
Interviewer
Sure. And do you find yourself has hidden doors realized? Is it more books or shows or movies that are generating the most interest, the most engagement?
Hilary Mason
So for us it's both. We were really fortunate to do an adaptation of the Crow based on the graphic novel, but it was around the time the movie came out last summer and that was really popular and remains super popular. We also have a Pride and Prejudice adaptation, which again, it's a 200 year old novel, but we all still love it, right? And it's something that we share culturally, so I can't say it's one or the other. And I actually think that one of the most interesting places this tech will be influential in entertainment is in breaking down the differences between say the publishing industry, the gaming industry, the movie industry. Because each of those industries is still architected around what it took to produce. The artifacts like film is financed, careers are built, roles, job titles exist because of what it takes to make a film. And then you have publishing, which is a really different than, you know, the film industry, video games different yet again, TV is a little bit of a mix between film and books. But like I think we will see a slow transformation in entertainment broadly, because what this tech is really great at is adapting information in one format to another in one place. To another. It's not creative, it doesn't come up with good stuff. But given somebody's direction and sort of an original world to start with, it can do something interesting. And so I know you didn't ask me for like a big long term hot take, but I gave you one anyway. I think fundamentally it doesn't matter where the creativity starts. And I think there are a lot of people out there with world building talent who have not written that book yet or who are building online communities around their worlds who will be able to find an audience and build that audience because of this tech and this change. So I think the future of entertainment looks really different and that it actually doesn't matter where the idea begins.
Rich Lamelo
As always, people on the program may have interest in the stocks they talk about. The Motley fool may have formal recommendations for or against don't buy or sell stocks based solely on what you hear. All personal finance content follows Motley fool editorial standards and is not approved by advertisers. Advertisements are sponsored content and provided for informational purposes only. To see our full advertising disclosure, please check out our show notes. That's all for today. We'll see you tomorrow.
Episode: Data Scientist Hilary Mason on AI and the Future of Fiction
Host/Author: The Motley Fool
Release Date: July 13, 2025
In this episode of Motley Fool Money, host Rich Lamelo engages in a deep conversation with Hilary Mason, the co-founder and CEO of Hidden Door. Hidden Door is at the forefront of integrating generative AI with storytelling, transforming beloved works of fiction into interactive online social role-playing games.
Hilary Mason provides an insightful overview of her journey into the realm of generative AI and entrepreneurship.
Academic and Professional Foundations: Mason shares her academic background in machine learning and her tenure as a computer science professor. She humorously acknowledges her transition from academia to the tech industry, stating, “I realized I was very mediocre at that. But I really love building things and I love building products for people” (00:15).
Entrepreneurial Ventures: Her role as Chief Scientist at Bitly marked her foray into leveraging data for business opportunities. “Bitly was just short links on social media and my job was to figure out how to use that data set to create a business. It is the most fun I've ever had” (00:50).
Founding Fast Forward Labs: In 2014, Mason founded Fast Forward Labs, focusing on applied AI research. One notable project involved language generation for real estate ads, highlighting both the potential and risks of text generation technologies.
Establishing Hidden Door: Five years ago, alongside co-founder Matt Brandwine, Mason launched Hidden Door with the vision of harnessing generative AI to create immersive storytelling experiences. “We were just at the beginning of the technical window and this was well before ChatGPT” (02:15).
Hidden Door aims to revolutionize fan engagement by allowing enthusiasts to immerse themselves in their favorite fictional worlds through role-playing.
Core Functionality: “We partner with people who create worlds through movies, books, TV shows or online communities... our fans get to come in, create their own characters and sort of role play their own stories” (00:50).
Use of AI and Machine Learning: The platform employs AI to maintain the integrity of the original worlds, ensuring characters behave consistently with their source material.
Fan Engagement: Mason emphasizes the importance of fostering creativity within established universes, allowing fans to explore and expand upon the narratives they love.
A pivotal aspect of Hidden Door’s strategy is its collaborative approach with original creators.
Respectful Partnerships: “We work with the author and the creators and we have signed agreements with them to build games in their world” (05:43). This ensures that the expansions are sanctioned and respectful of the original material.
Value Addition for Creators: By enabling fans to engage more deeply, creators benefit from sustained interest and an additional revenue stream.
Mason candidly addresses the ethical challenges and skepticism surrounding generative AI in creative industries.
Skepticism of AI’s Role in Creativity: “We do get skeptical people all the time... the skepticism is right” (08:27). She acknowledges fears that AI could undermine authorship but clarifies Hidden Door’s respectful utilization of creative works.
Ethical AI Practices: Mason contrasts Hidden Door’s approach with other companies that may use author works without permission. “We are trying very much through our work at Hidden Door and our work with authors and creators to show a way that it could be done that is respectful and is values aligned” (09:48).
Drawing parallels to the Napster era, Mason highlights Hidden Door’s commitment to ensuring creators benefit from their platforms.
Napster Analogy: “It almost brings me back to when Napster came on the scene... but you have to take care to make sure creators are compensated” (11:27).
Sustainable Model: Unlike Napster, Hidden Door is architected to support creators financially, ensuring a symbiotic relationship between the platform and content creators.
Mason shares surprising findings about user preferences in generative storytelling.
Shared Experiences Over Infinite Content: “Nobody actually wants infinite games... the things people want are their character, their adventure... they want moments that are the same as what everyone else is experiencing” (13:40). This highlights the value of communal storytelling elements over endless personalized narratives.
Community Engagement: Users prefer having shared story points that foster conversation and connection, rather than isolated, infinite paths.
Hidden Door has successfully adapted several well-known works, resonating deeply with their fan bases.
"The Crow": Based on the graphic novel, this adaptation gained significant popularity, especially in conjunction with a related movie release last summer.
"Pride and Prejudice": Despite being a 200-year-old novel, its enduring cultural significance makes it a prime candidate for interactive adaptation. Mason notes, “It's something that we share culturally” (15:32).
Cross-Industry Influence: Mason envisions AI eroding traditional boundaries between publishing, gaming, and film industries by facilitating seamless adaptation and interaction across different media formats.
Looking ahead, Mason provides a visionary outlook on how AI will reshape entertainment.
Blending Creative Domains: “What matters are the moments that are shared between our experiences because it gives us something to talk about and relate to each other” (15:32). AI enables a convergence of storytelling, gaming, and community engagement.
Empowering Diverse Creators: The technology democratizes content creation, allowing individuals with world-building talent to reach and build audiences without traditional barriers.
Adaptation Over Creation: While AI assists in adapting existing works, it relies on human direction to craft meaningful narratives. “It doesn't matter where the creativity starts” (17:54).
Hilary Mason’s insights illuminate the transformative potential of generative AI in storytelling and entertainment. By prioritizing ethical practices, fostering creator partnerships, and focusing on shared user experiences, Hidden Door stands as a pioneering model in the evolving landscape of interactive fiction. The future, as Mason envisions, is one where technology and creativity coalesce to offer enriched, communal storytelling experiences that honor and expand upon the original works that fans cherish.
Hilary Mason: “We partner with people who create worlds through movies, books, TV shows or online communities... our fans get to come in, create their own characters and sort of role play their own stories” (00:50).
Hilary Mason: “We are trying very much through our work at Hidden Door and our work with authors and creators to show a way that it could be done that is respectful and is values aligned” (09:48).
Hilary Mason: “Nobody actually wants infinite games... the things people want are their character, their adventure... they want moments that are the same as what everyone else is experiencing” (13:40).
Hilary Mason: “It doesn't matter where the creativity starts” (17:54).
This summary captures the essence of the podcast episode, providing a comprehensive overview for those who haven't listened, enriched with direct quotes and structured for clarity.