In a conversation with Harry Stebbings on "20 VC," Chris Valenzuela, CEO and co-founder of Runway, discusses the transformative potential of generative AI in content creation. Runway, having raised over $285 million, is innovating in generative AI models and has garnered customers from various media and creative industries. Valenzuela emphasizes that AI is more than chatbots and that the industry needs to move beyond horror stories to embrace AI as a creative tool. He reflects on learning from rejections during fundraising, the importance of aligning with investors, and the company's growth beyond its current valuation. Valenzuela also highlights the significance of hiring for the ability to "figure things out" and the need for humility in a rapidly evolving field. He predicts that AI will become so integrated into society that it will no longer be referred to as AI, much like the internet today.
"AI is not just chatbots. I think models are not a mode. Models eventually don't matter."
This quote emphasizes the speaker's belief that AI is a broad field and that the significance of AI models is declining over time.
"Good investors are the ones that are not looking for patterns."
The speaker suggests that superior investors focus on unique qualities rather than common patterns when evaluating investment opportunities.
"Runway today and character AI eye on Thursday."
Harry Stebbings introduces Runway as one of the two AI companies being featured on the podcast.
"The company that trains and builds generative AI models for content creation."
Harry Stebbings describes Runway's core business, highlighting its focus on generative AI for creative purposes.
"To date, Chris has raised over $285,000,000 for the company from the likes of Luxe Capital, Felicis, CO2 amplify, and Nvidia, to name a few."
Harry Stebbings outlines the significant funding raised by Runway and some of its high-profile investors.
"Runway's customers include Academy nominated movies, tv."
Harry Stebbings mentions the prestigious clientele of Runway, showcasing its impact and reach within the entertainment industry.
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"Runway's journey dates back to 2015 2016, where I met my cofounders Alejandro and Anastasis in actually art school."
The speaker, Chris, recounts the early days of Runway and the diverse backgrounds of its founders.
"We started just tinkering and playing around with state of the art AI at that time."
Chris explains the experimental nature of their initial work with AI, which laid the groundwork for Runway.
"We didn't found the company. I think the company founded us."
Chris reflects on the organic development of Runway, suggesting that the company was a natural outcome of their collaborative efforts.
"I think being an outsider is both a blessing and a curse in the sense that it allows you to really reason from first principles."
Chris discusses the advantages of being an outsider, including the ability to approach problems with originality and without preconceived notions.
"Runway, I think it's the manifestation of that. It's a company that merges art and science by being able to be in between."
Chris describes Runway as a fusion of disciplines, a direct result of his and his co-founders' outsider status.
"I'm running away a little bit from that tradition and trying to figure out more of the things I'm passionate about, the things I'm curious about."
Chris expresses his drive to break away from traditional expectations and to follow his own interests, which led to the creation of Runway.
"I think I'm fearful of people not pushing themselves both intellectually and creatively and maintaining a status quo."
Chris shares his concern about complacency and its negative impact on personal and corporate growth.
"If you learn how to learn, you can figure out anything. And that's like a superpower."
Chris highlights the importance of being a self-starter and the power of learning as key to high performance.
"Being hands on and being active on learning by doing something really helps make sense of the world."
Chris advocates for a practical approach to learning, where direct experience plays a significant role in understanding complex subjects.
"More recently, we've learned a lot with what we're doing with gen one and gen two, which are our two latest video generation models."
Chris discusses the iterative learning process involved in developing and releasing new AI models at Runway.
"The moment you put them out, most of those assumptions are going to be changed."
Chris acknowledges the dynamic nature of technology and the need to adapt assumptions based on real-world usage and feedback.## Utilization of AI Models in Creative Contexts
"You have around how models are going to be used in a creative context might change rapidly."
This quote emphasizes the unpredictability of how AI models will be used creatively and the need for flexibility in their application.
"And so keeping the value at the center and less of what you think people might get out of those models is really, really critical."
Here, the speaker stresses the importance of focusing on the intrinsic value of AI models rather than speculating on their potential uses.
"Why did you decide to release knowing that maybe it was challenging for people to use in full."
Harry Stebbings questions the rationale behind releasing a product that may not be fully user-friendly.
"In our case, this is something new...the only way to move forward the field and the intersection of creativity and artificial intelligence was we build by as close as we can with the community that we're building towards."
The response justifies the early release as a means to advance the field through direct community engagement.
"Has the media got AI wrong in terms of replacement, not enabler?"
Harry Stebbings challenges the common media narrative that AI is a replacement rather than an enabler.
"A lot of the discourse...comes from the place of extrapolating the current state of language models and the challenges they have."
The speaker criticizes the narrow view of AI as merely language models and calls for a more nuanced understanding of its capabilities.
"Why do screenwriters strike if it's an enabler? What do they not see?"
Harry Stebbings questions why creatives would oppose AI if it's meant to aid their work.
"A lot of the discourse around replacements comes from this rather unsophistic view of the world..."
The speaker explains that fears of replacement stem from a simplistic view of AI's role in creative work.
"What's more important and data size or model size?"
Harry Stebbings asks about the relative importance of model and data size in AI effectiveness.
"I think size of model matters...But at the same time, it depends, depends on what you're trying to do."
The speaker acknowledges the significance of model size but also points out the need for specificity.
"You think we'll see the verticalization of models, or like Richardsocher with you very much pronounces the importance of a single model to rule them all."
Harry Stebbings inquires about the trend towards specialized models versus a one-size-fits-all approach.
"Yeah, I don't think there's going to be a single model to rule them all."
The speaker dismisses the idea of a universal model, advocating for a diverse ecosystem of AI models.
"How do you think about model lifespan?"
Harry Stebbings asks about the expected longevity and maintenance of AI models.
"I think models are not a mode...What matters most is the people building those models, and how fast can you change and learn from those models."
The speaker suggests that the focus should be on the developers' ability to iterate and refine models rather than on the models themselves.
"How do you think about hallucinations as a feature or a bug, especially given the artistry and creativity that's inherent in what Runway is."
Harry Stebbings asks about the role of hallucinations in AI models, particularly in creative applications.
"In a video domain, in an image domain, in a creative context, maybe you want to have the model rumble a little bit or go off the charge."
The speaker highlights the potential benefits of unpredictable AI behavior in creative contexts.
"Do you agree with him on the open beating close model, and how do you think about that?"
Harry Stebbings questions the speaker's stance on the superiority of open AI ecosystems over closed ones.
"I think open is always better...But at the same time, it really depends."
The speaker supports open AI ecosystems but acknowledges that the decision between open and closed source is nuanced.
The final quote is incomplete, thus no summary or analysis can be provided.## Importance of Speed
"The rate limit, I would say sometimes for us, is being able to move even faster, and those things come in place with sometimes compute."
This quote emphasizes the challenge of achieving greater speed due to computational limitations, highlighting the need for more powerful resources to accelerate processes.
"Focus on, again what we're discussing before, people that can figure things out and get things done."
This quote underlines the importance of practical problem-solving skills and execution ability over formal qualifications in the hiring process.
"It measures your productivity and your level... it measures your ability to get things done."
This quote describes the objectives of Runway's interview process, which aims to quantify a candidate's effectiveness and their fit with the company culture.
"Humbleness for us has been a core value."
This quote highlights the significance of humility in the company culture and its role in fostering an environment conducive to learning and growth.
"If you want to know about something, don't read recipes... Just do it yourself."
This quote conveys the speaker's belief that hands-on experience is the most effective way to understand and build a business, rather than relying on established guidelines.
"Focus on the right investors and ask questions to the investors the same way they ask questions to you."
This quote suggests that founders should be as inquisitive with potential investors as investors are with them to ensure mutual understanding and alignment of goals.
"No one is going to care about your company, about what you do more than you."
This quote emphasizes the primary responsibility of the founder in building and sustaining the company, rather than expecting investors to drive success.
"Our series A was, I would say, the most challenging in the sense that we were pitching... generative AI company we wanted to build."
This quote reflects on the difficulties faced during the Series A fundraising round, particularly due to the novelty and skepticism surrounding generative AI at the time.
"Doubting is actually good... everyone is thinking one way and I'm thinking in another way."
This quote suggests that questioning the status quo can lead to innovative breakthroughs and distinguishes a founder's approach from the mainstream.
"Something I've learned a little more over time has been always emphasizing the vision of a company."
This quote reflects the speaker's evolved understanding of the importance of communicating a compelling vision to investors during fundraising rounds.## Importance of Vision and Team in Companies
"What really matters in a company is the people that you have and the collective tissue of what brings them together."
This quote underscores the idea that the people within a company, and their ability to work together toward a common goal, are more critical to success than any individual product or service.
"If you're optimizing for evaluation, you're optimizing for the wrong thing."
The speaker emphasizes that striving for a high valuation should not be the main objective; instead, companies should focus on their long-term growth and vision.
"Raising capital and being a venture backed startup was really the only way of really achieving our goals and realizing our vision."
This quote reflects the speaker's belief that venture capital was essential for their startup due to their circumstances, including being immigrants without personal financial resources.
"The only people going to change it are you and your team."
The speaker suggests that while high-profile individuals could be beneficial, the true drivers of change are the company's team members.
"I don't think we yet realize how transformative AI is going to be."
The speaker reveals a belief that the future impact of AI is still underestimated and that current perspectives may not align with future realities.
"If you're passionate about what you're doing, if you need to give a little when you're raising a family, of course you can find the time."
The speaker expresses confidence that with passion and care, one can find a balance between work responsibilities and family life.
"The best movies are yet to be made and the best stories are yet to be told."
This quote reflects the speaker's optimistic outlook on the future of storytelling and movie-making, influenced by advances in technology.
"We're going to stop referring to it as AI. We're just going to think about it as tools."
The speaker predicts that AI will become so ingrained in society that it will no longer be a distinct concept but will be considered a standard part of various tools and processes.