
61 segments available
Nick Turley is Head of ChatGPT, the fastest-growing product in history, with 700 million weekly active users (10% of the world’s population). He was part of the original hackathon team that shipped ChatGPT in just 10 days, helped it grow from zero to billions in revenue, and leads product for what may be the most consequential product of our time. We recorded this the day before GPT-5 launched. *We discuss:* 1. The 10-day sprint from deciding to ship ChatGPT to Sam Altman’s tweet (and why it was originally called “Chat with GPT-3.5”) 2. How they ran a willingness-to-pay Van Westendorp survey in their Discord to decide on the $20/month price point that everyone copied 3. The “Is it maximally accelerated?” philosophy that drives OpenAI’s insane shipping velocity 4. Why ChatGPT’s retention curve “smiles”—users leave, then come back months later using it more 5. The accidental decisions that changed history, including not having a waitlist 6. The impact ChatGPT will have on SEO and product growth 7. The counterintuitive reason why shipping unpolished AI features beats waiting for perfection 8. Why ChatGPT intentionally shipped with that “ugly” model-chooser dropdown 9. How TikTok comments became a primary user research channel early on *Brought to you by:* Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/ Vanta—Automate compliance. Simplify security: https://vanta.com/lenny PostHog—How developers build successful products: https://posthog.com/lenny *Transcript:* https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley *My biggest takeaways (for paid newsletter subscribers):* https://www.lennysnewsletter.com/i/170411252/my-biggest-takeaways-from-this-conversation *Where to find Nick Turley* • X: https://x.com/nickaturley • LinkedIn: https://www.linkedin.com/in/nicholasturley/ • Website: https://nickturley.com/ *Where to find Lenny:* • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ *In this episode, we cover:* (00:00) Introduction to Nick Turley (04:52) GPT-5 launch (09:13) The vision for ChatGPT and AI assistants (13:52) The early days of ChatGPT (17:14) The success and impact of ChatGPT (20:44) Product development and iteration (23:11) Maximally accelerated: the OpenAI approach (26:17) Retention and user engagement (33:42) The future of chat interfaces (36:31) The evolution of ChatGPT (38:52) Subscription model and pricing strategies (42:10) Enterprise adoption and challenges (44:10) Balancing multiple product lines (52:13) Emergent use cases and user feedback (01:02:15) OpenAI’s unique product development approach (01:05:07) The importance of team composition (01:08:50) Balancing speed and quality in AI development (01:14:23) The role of evals in product development (01:16:13) The future of AI-driven content and GPTs (01:21:51) Philosophy and product leadership (01:23:47) Career journey and advice (01:27:49) Lightning round and final thoughts *Referenced:* • GPT-5 and the new era of work: https://openai.com/index/gpt-5-new-era-of-work/ • Instacart: https://www.instacart.com/ • OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai • Sam Altman on X: https://x.com/sama • Figma: https://www.figma.com/ • Van Westendorp’s Price Sensitivity Meter: https://en.wikipedia.org/wiki/Van_Westendorp%27s_Price_Sensitivity_Meter • Rahul Vohra on LinkedIn: https://www.linkedin.com/in/rahulvohra/ • Superhuman’s secret to success: Ignoring most customer feedback, manually onboarding every new user, obsessing over every detail, and positioning around a single attribute: speed | Rahul Vohra (CEO): https://www.lennysnewsletter.com/p/superhumans-secret-to-success-rahul-vohra • Dropbox: http://dropbox.com/ • Airtable: https://www.airtable.com/ • Notion: https://www.notion.com/ • Instant Pot: https://instantpot.com/ • MS-DOS: https://en.wikipedia.org/wiki/MS-DOS • Expanding on what we missed with sycophancy: https://openai.com/index/expanding-on-sycophancy/ • What we’re optimizing ChatGPT for: https://openai.com/index/how-we're-optimizing-chatgpt/ • Charlie Munger’s quote: https://www.goodreads.com/quotes/11903426-show-me-the-incentive-and-i-ll-show-you-the-outcome • Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next • Beyond vibe checks: A PM’s complete guide to evals: https://www.lennysnewsletter.com/p/beyond-vibe-checks-a-pms-complete ...References continued at: https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com._ Lenny may be an investor in the companies discussed.
Nick Turley shares his journey from being a product leader at Dropbox and Instacart to becoming the PM of ChatGPT, a product that has transformed into a global phenomenon. He reflects on the initial perception of ChatGPT as a simple hackathon project and the pivotal moment when Sam Altman tweeted about it, launching it into the spotlight.
"You were a product leader at Dropbox, then Instacart. Now you're the PM of the most consequential product in history. I didn't know what I would do here. It was a research lab. The first task wa..."
Turley discusses the unexpected success of ChatGPT, which has grown to 700 million weekly active users. He emphasizes the importance of shipping quickly to understand user needs and the surprising retention rates that followed its launch, highlighting how it has become a vital tool for many.
"It just feels a little more alive, a bit more human. This model has taste. Kevin Wheel, your CPO, said to ask you about this principle of is it maximally accelerated? I just really want to jump ..."
In this segment, Turley outlines the original vision for ChatGPT as a 'super assistant' and how it has evolved. He explains the significance of creating a product that understands users' overarching goals and the potential for AI to assist in various aspects of life, from work to personal tasks.
"retentive. I've been really excited about what we've been doing in search. Can you give us a peek into where this goes long term? Chatbt feels a little bit like MS DOS. We haven't built Windows ..."
Turley reflects on the societal integration of ChatGPT, noting how it has become a part of everyday conversations and decision-making. He emphasizes the importance of AI as a tool that amplifies human capabilities rather than replacing them, addressing common fears surrounding AI technology.
"billions in revenue, and arguably the most successful and impactful consumer software product in human history. Nick is incredible. He's been very much under the radar. This is the first major p..."
Turley reveals that ChatGPT originated from a hackathon project aimed at testing GPT-3.5. He discusses the initial team dynamics and the decision to create an open-ended product to gather real user feedback, which ultimately led to its viral success.
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As ChatGPT approaches a billion users, Turley discusses the responsibility that comes with such rapid growth. He highlights the need for the team to adapt and ensure that the product remains beneficial and safe for its expanding user base.
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Turley emphasizes the importance of empirical observation in AI product development. He explains how continuous listening to user interactions post-launch is crucial for understanding utility and risks, which is a departure from traditional product development methodologies.
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Nick Turley shares the origins of ChatGPT, revealing it emerged from a hackathon project. He emphasizes the importance of shipping ideas quickly and reflects on the team's growth and responsibilities as they approach a billion users. This segment highlights the serendipitous nature of product development and the evolution of the ChatGPT team.
"stuff is going to die down to like, oh wow, people are retaining, but I don't understand why. Um, and then eventually we kind of like, you know, fell into product development mode, but it was a li..."
Turley discusses the profound impact of ChatGPT on everyday life, noting how it has become integrated into people's routines. He reflects on the humbling experience of leading such a transformative product and the necessity of taking time to think amidst rapid development. This segment captures the emotional weight of innovation and leadership in tech.
"um to that scale. Okay. So, let me spend a little time there. So I don't know if this is 100% true, but I believe it is that Chat GPT is the fastest growing, most successful consumer product in ..."
In this segment, Turley explains his philosophy of taking time for deep work and reflection to maintain confidence in rapid product development. He emphasizes the empirical nature of AI, where understanding user interactions is crucial for success. This highlights the balance between speed and thoughtful iteration in product management.
"to do and process the week etc. Um, and uh, the other thing is I've never ever worked on a product that is so empirical in its nature where if you don't stop and watch and listen to what people ..."
Turley shares insights on fostering a culture of urgency and pace within the OpenAI team. He recounts the early days of ChatGPT's development and the importance of rapid learning through execution. This segment underscores the significance of maintaining a dynamic work environment to drive innovation.
"So you take a day off every week. Not off. Okay. That's not the right way to put it. You take a day of of thinking time, deep work. I I need it. Yeah. Yeah. Yeah. and and um and I need to hard u..."
Turley introduces the concept of 'maximally accelerated' as a guiding principle for decision-making at OpenAI. He discusses how this approach helps to cut through blockers and emphasizes the importance of execution in product development. This segment reveals the mindset that drives OpenAI's rapid growth and adaptability.
"of pace and urgency on teams. Well, it's nice of her to say that. Um you know I I spent a lot of two things you know with chatbt I you know the when we decided to do it you know we had been prot..."
In this segment, Turley uses the metaphor of a team's 'resting heart rate' to describe the pace of work at OpenAI. He reflects on his experiences at Instacart and how they shaped his understanding of urgency in tech environments. This highlights the need for a sustainable work rhythm to foster creativity and productivity.
"the resting heart rate of your team. That's such a perfect metaphor of just the pace uh being equivalent to your resting heart rate. I actually learned that at Instacart when I when I showed up ..."
Turley discusses the balance between high product development velocity and necessary processes, especially regarding safety in AI. He explains how OpenAI separates product development speed from rigorous safety protocols, emphasizing the nuanced approach required in AI innovation. This segment sheds light on the complexities of responsible AI development.
"uh with the team and just instill especially if you come from a larger company you know at some point we started hiring people from from you know larger tech companies I think they're used to you ..."
Turley reveals impressive retention statistics for ChatGPT, highlighting the product's ability to engage users over time. He discusses the significance of user feedback and the unique 'smiling curve' of retention, where users return after initial use. This segment emphasizes the importance of understanding user behavior in product success.
"the push is is this maximally accelerated is there a way we can do this faster? Is there anything we can unblock? Yeah. And you know we use that sparingly right because it has needs to be approp..."
In this segment, Turley explains the integration of the AI model with the product itself, emphasizing the need for continuous iteration based on user needs. He discusses how understanding user interactions informs product development, showcasing the iterative nature of AI enhancements. This highlights the evolving relationship between technology and user experience.
"very useful when we need it um And for everything product development, you're a dead on arrival. So it's it's important to get stuff out. We got to open source as memes so that other teams can bui..."
Turley discusses the natural evolution of user interaction with AI, noting that many users initially struggle to delegate tasks to an AI. He emphasizes the importance of product evolution to facilitate user understanding and engagement. This segment captures the challenges and opportunities in making AI more accessible to the general public.
"retention over time um even as our cohorts become you know um less of an early adopter and more you know the the average person. So um yeah so like that note is something that I don't think people..."
Turley outlines key features that have significantly improved user retention in ChatGPT, such as search capabilities and personalization. He explains how these enhancements address user needs and contribute to the product's success. This segment highlights the importance of continuous innovation in maintaining user interest.
"things that we've done in the product too whether or not it's making the core models better whether or not it's you know new capabilities like search and personalization um and and all that uh kin..."
Turley reflects on the rapid timeline from the initial hackathon to the launch of ChatGPT, emphasizing the importance of speed in product development. He discusses the iterative improvements made post-launch and the shift in how OpenAI approaches product releases. This segment illustrates the dynamic nature of tech innovation.
"improve on those use cases. And that is pretty similar to product development work. Obviously, the methodology is a bit different, but the discovery is is is the same. You got to talk to people,..."
Turley discusses the evolution of ChatGPT's interface and the decisions made during its development. He reflects on the initial naming and branding choices, highlighting how these decisions have had lasting impacts. This segment provides insight into the strategic thinking behind product identity.
"happened too recently or something like that. And you know that is a type of capability that has been incredibly retentive. Um and um for for good reason. It just allows you to do more with the ..."
In this segment, Turley shares anecdotes about accidental decisions that significantly influenced ChatGPT's trajectory, such as the name change from 'Chat with GPT-3.5.' He reflects on how these seemingly small choices can lead to monumental outcomes in product history. This highlights the unpredictable nature of innovation.
"being live. You know the hackathon happened much earlier and we were prototyping for a long time but at some point we basically ran out of patience on you know on trying to you know build somethin..."
Nick Turley discusses the limitations of the current chat interface for ChatGPT, emphasizing the importance of natural language communication. He expresses a desire for more innovative ways to interact with AI beyond the traditional chat format, suggesting that the future may involve more dynamic user interfaces that go beyond simple turn-by-turn interactions.
"Uh maybe just talk about that and just is chat the long-term interface for chat GPT. I guess it's called chat GPT. I feel like we should either drop the chat or drop the G GPT at some point becaus..."
Turley reflects on the unexpected decisions made during the early development of ChatGPT, such as the name change from 'Chat with GPT-3.5' to 'ChatGPT.' He highlights how these seemingly minor choices had significant impacts on the product's success, including the decision to make it free and user-friendly.
"um, yes on natural language, but no on chat is is where I would describe my my point of view. Um, and I'm just hoping in general that we see more sort of consumer innovation on how people intera..."
In this segment, Turley explains how the decision to launch ChatGPT as a free product was pivotal for its adoption. He discusses the initial pricing strategy and how it evolved into a subscription model that has become a standard in the industry, reflecting on the implications of accessibility and market competition.
"that in the original release, you know, making it free was a big deal. I I don't think we appreciate that because the uh GPD 3.5 model was in our API for, you know, at least 6 months prior to that..."
Turley shares the story behind the pricing of ChatGPT, detailing how a simple Google Form survey in Discord led to the $20/month subscription model. He reflects on the unexpected media attention this decision garnered and the broader implications for pricing strategies in tech.
"been like a lot of decisions over over time that um proved pretty consequential, but you know, we made them very very quickly as as as we have to. So, um the the $20 a month feels like an importan..."
In this segment, Turley discusses how ChatGPT's team learns from user interactions and feedback, particularly through platforms like TikTok. He emphasizes the importance of observing real-world use cases to inform product development and enhance user experience.
"the 20. We're debating you know something slightly higher at the time. I often wonder what would have happened because so many other companies ended up copying the $20 price point. So I'm like, ..."
Turley reflects on the rapid adoption of ChatGPT in enterprise settings, discussing the challenges faced in building a product that serves both consumer and business needs. He highlights the importance of addressing privacy and deployment concerns to capitalize on this opportunity.
"better people for that. Whether it was right or wrong, it is now the fastest growing insane revenue generating business in the world. So, uh I wouldn't feel too bad. No, it worked out. Yeah, it ..."
In this segment, Turley shares insights on managing the complexities of developing multiple product lines within OpenAI. He discusses the need for prioritization based on model capabilities and customer feedback, emphasizing the importance of adaptability in product management.
"it's it's great. I'm just going to throw a fishing line into this pond of are there any other stories like this? You shared this incredible story of chat with GPT 3.5 being the original name, ho..."
Turley discusses the evolution of ChatGPT from a consumer tool to a significant player in the enterprise market. He reflects on the initial focus on productivity and how user feedback has shaped the product's development to meet diverse needs.
"a a a work product and you know we've literally really define AGI as, you know, outperforming most humans at economically valuable work or I probably butchered that, but you know, I think um I t..."
In this segment, Turley emphasizes the importance of user feedback in shaping the future of ChatGPT. He discusses how the team leverages data and qualitative insights to identify emergent use cases and improve the product continuously.
"from the model capabilities and that is much more art than science where I think you really need to look at what tech do we have available and what is like the most awesome way to product producti..."
Turley reflects on the decision to launch ChatGPT without a waitlist, highlighting how this choice facilitated immediate user engagement and allowed for real-time observation of user interactions. He discusses the implications of this strategy for product development.
"and then there's enterprise specific work that we just have to do like you got to do hippa, you got to do soak two, you got to do all those things if you want to be a serious player and those ar..."
Turley draws an analogy between ChatGPT and the evolution of computer interfaces, suggesting that the product is currently in its 'MS-DOS' phase. He envisions a future where ChatGPT evolves into a more user-friendly interface that better communicates its capabilities.
"decision actually. You know, we were debating weight list, no weight list because we just really knew we couldn't scale the engineering systems and you know, the fact that there was no weight list..."
In this closing segment, Turley expresses gratitude for the enthusiasm users have for ChatGPT. He discusses how this excitement can be harnessed to drive further innovation and improvement in the product, emphasizing the importance of community engagement.
"work on really exposing to you what is possible. I I still feel like chat feels a little bit like MS DOS. uh we haven't built Windows yet and it will be obvious once we do but you know there there..."
Nick Turley discusses how OpenAI identifies emergent use cases for ChatGPT, emphasizing the importance of user feedback and data analysis. He shares insights on how user interactions and qualitative research help shape the product's evolution, revealing unexpected applications like relationship advice and personal growth.
"How do you find emergent use cases these days? I imagine the volume is very high. Do you have kind of a trick for figuring out, oh, here's a new thing we should really think about? Before I buil..."
Turley reflects on the evolving perception of ChatGPT from a productivity tool to a personal advisor. He highlights how users are turning to ChatGPT for emotional support and relationship advice, showcasing the responsibility OpenAI has in ensuring the model provides valuable and safe guidance.
"Is there kind of a new emergent use case that you're excited about or is there like a really unusual use of chat GBT that you think about that would be fun to share? I mentioned this earlier, bu..."
In this segment, Turley addresses the challenges of handling sensitive topics with ChatGPT. He discusses the importance of balancing user support with responsible guidance, emphasizing the need for the model to help users think critically about their decisions rather than providing direct answers.
"be a waste if we didn't take the opportunity of using chatbt to really really help people. And I think we've just begun to scratch the surface um on on that. So um there's many aspirational use ..."
Turley explains how OpenAI learns from user interactions, particularly in the context of a previous model that overly complimented users. He discusses the importance of feedback in refining the model's behavior and ensuring it aligns with OpenAI's mission to genuinely assist users.
"Everything you tell me is amazingly correct. Uh, are you able to tell us just what happened there? Yeah, we have, you know, we have all kinds of collateral um online because we really felt like ..."
Turley emphasizes the responsibility of AI developers to engage with high-stakes use cases, such as health and relationship advice. He argues that avoiding these topics due to potential risks is a missed opportunity to leverage AI's capabilities for positive impact.
"metric. Um GPD5 is an improvement which is really exciting for me but we have more work from there. Um and more broadly it caused us to articulate our point of view. who actually spent a bunch o..."
In this segment, Turley discusses the transformative potential of AI technologies like ChatGPT, comparing their rollout to that of personal computers. He highlights the accessibility of AI as a tool for personal growth, education, and support, underscoring its democratizing effects.
"behavior really really great. Um that can mean connecting you with external resources when you're struggling. That can mean not directly answering your question but instead of giving you a helpful..."
Turley shares counterintuitive lessons learned from building products at OpenAI, focusing on the importance of empiricism and collaboration. He discusses how empowering team members to pursue innovative ideas has driven success and fostered a culture of creativity.
"decision which I imagine was made early on. You know, we're just at the beginning of of watching how this people this this this stuff can transform people. Um, it's incredibly democratizing if you..."
Turley explains his approach to building a lean, high-throughput team at OpenAI. He emphasizes the importance of targeted recruiting and understanding team dynamics to ensure that each member contributes effectively to the product's success.
"and how we can lean in that into that even more and I think I spent a lot of time thinking about this with open AI um especially after chat before that you know it was kind of a moot point because..."
In this segment, Turley discusses the significance of interdisciplinary collaboration at OpenAI. He highlights how integrating research, engineering, design, and product management leads to innovative solutions and successful product launches.
"litmus test. So, I've always found you really have to lean into why is this place successful and then maximally accelerate that so to speak because um it's it's what allows you to turn something t..."
Turley shares insights on team building at OpenAI, emphasizing the need for trust and collaboration among team members. He discusses strategies for fostering a positive team culture that encourages open communication and collective problem-solving.
"um instead like maybe we need like a little bit more front end um or something like that. In other cases, uh maybe what you're missing is an incredible data scientist. So, I really like to go th..."
Turley elaborates on the concept of thinking from first principles in product development. He provides examples of how this approach helps in making informed decisions about team composition and product features, ensuring that the focus remains on solving core problems.
"each other's skill sets. um feel like they can think across their boundaries. Um like you know um I really believe that product is everyone's job for example and and and for that reason the recr..."
In this segment, Turley discusses the critical balance between speed and quality in AI development. He argues that rapid iteration is essential for understanding user needs and refining the product, while also acknowledging the importance of eventual polish and user satisfaction.
"really trying to solve. Like for example, as I mentioned with the recruiting thing, like I'm not dogmatic that you have to have a product manager and an engineering manager and a designer or wha..."
In this segment, Turley highlights the unique challenges of developing AI products, where the properties of the product are often emergent and not knowable in advance. He stresses the need for product teams to be flexible and responsive, learning from real-world usage to identify what needs improvement. This approach contrasts with traditional product development, where clear benchmarks and expectations exist.
"there is no analogy for what we're building. Like there's just you can't copy an existing thing. There's no, you know, are we like an Instagram or are we like, you know, a Google or like a like a,..."
Turley emphasizes the necessity of shipping products to gather real-world feedback, which is essential for understanding failure cases and improving AI models. He argues that traditional evaluation methods may not capture the complexities of user interactions with AI, making real-world scenarios vital for product enhancement. This segment underscores the iterative nature of product development in the AI space.
"I think that is uniquely true in an environment where the properties of your product are emergent and not knowable um in advance. Uh, and I think many people get that wrong because like the best ..."
Nick Turley discusses the evolving role of evaluations in product management, particularly in AI. He shares insights on how articulating success and defining evaluation criteria can guide product development. This segment highlights the importance of understanding user needs and aligning product features with those needs, showcasing how evaluation skills are becoming increasingly critical in the AI landscape.
"not polish your product. Um, um, it's just really in a world where you don't know yet, you might get very distracted. So, it's situational. Again, you kind of have to be first principles about i..."
In this segment, Turley reflects on how ChatGPT is driving traffic and growth for content creators. He shares his excitement about the potential for AI to surface high-quality content and discusses the implications for SEO and content strategies. Turley emphasizes the need for creators to focus on producing valuable content that resonates with users, as AI models increasingly shape content discovery.
"think about something that both Kevin Wheel and Mike Kger shared which is that eval are becoming a huge new skill that product people need to get good at because so much of product building is n..."
Turley explores the emerging concepts of AI-driven SEO, discussing terms like AEO (Answer Engine Optimization) and their relevance in the current landscape. He expresses caution about labeling these concepts too early, emphasizing the need for content creators to focus on quality and user engagement rather than chasing trends. This segment highlights the evolving relationship between AI and content visibility.
"soon that gives you a very good uh how-to for PMs of how to write eval. I would love to read it. Um and I hope you dis I hope you agree what I with what I just said because maybe there's something..."
In this segment, Turley discusses the potential for custom GPT applications and the challenges of creating differentiated products in the consumer space. He notes the success of GPTs in enterprise settings, where unique business processes can leverage AI capabilities. Turley expresses optimism about the future of these tools and their ability to empower users to build innovative solutions.
"new highquality content out there. And u for that reason, you know, I talked a little bit earlier about uh search and how that solved like a really important user problem early on because you ha..."
Turley shares insights on the importance of curiosity in product development, particularly at OpenAI. He reflects on his own career journey and how surrounding himself with intelligent, curious individuals has shaped his path. This segment emphasizes the value of passion and genuine interest in driving innovation and success in the rapidly evolving AI landscape.
"I hope that you know other other um people making great content start to feel this way because again it's a very neat scenario. There's two uh acronyms people have been using for this specific ski..."
In this segment, Turley discusses his background in philosophy and how it informs his approach to product management. He highlights the analytical skills gained from studying philosophy and their relevance in navigating complex product challenges. This unique combination of skills allows him to think critically and articulate clear visions for AI products.
"built that kind of concept before you could really build very differentiated things. Uh at least in the consumer space, you know, um you're like learning GPT is going to be pretty similar to wha..."
Turley shares his journey to joining OpenAI, emphasizing the importance of working with smart people and following opportunities that spark curiosity. He recounts how his initial role evolved from operational tasks to leading product development, illustrating the organic nature of his career path. This segment highlights the significance of adaptability and seizing opportunities in one's career.
"come in handy numerous times. Is there a specific philosopher or school that has been most handy to you or is there more just a general there's so many I I I wrote my like senior thesis on whether..."
In this concluding segment, Turley offers advice to aspiring product leaders, emphasizing the importance of surrounding oneself with energizing individuals and pursuing genuine interests. He reflects on the value of curiosity in navigating the complexities of the AI landscape and encourages listeners to focus on meaningful questions rather than solely chasing financial success. This segment serves as an inspirational call to action for future innovators.
"work? Every single career decisions I ever made, um, including my first one out of college was just figuring out who who are the smartest people I know that I want to like hang out with and learn ..."
In this segment, Nick Turley discusses his favorite books that he often recommends to others in the product space. He mentions classics like 'High Output Management' and 'The Design of Everyday Things,' which he finds extremely applicable. This highlights the value of foundational knowledge in product management and the importance of continuous learning in the field.
"else is luck. And this is counter to what a lot of people are doing right now, which is follow the money. Where can I make the most? How do I grow this thing and make $100 million? Like all these ..."
Nick Turley shares his love for sci-fi movies and TV shows, mentioning titles like 'Her,' 'Westworld,' and 'Severance.' He reflects on how these narratives can inspire creativity and innovation in the tech space. This segment emphasizes the role of storytelling and speculative fiction in shaping ideas about the future of technology and AI.
"yourself recommending most to other people in the product space? probably things like high output management or the design of everyday things or you know those kind of classic type things becaus..."
In this segment, Nick discusses his current capacity and the challenges of keeping up with new products outside of OpenAI. He reflects on the intense pace of work and how it limits his ability to explore other innovations. This highlights the demands of leading a groundbreaking product and the importance of focus in a fast-paced environment.
"most with and find most interesting and valuable. Um, yes, but that's probably my own limitation. Um um so I'm sure there's more to more to discover. By the way, have you read Fire Upon the Deep, ..."
Nick Turley emphasizes the idea that we become the average of the five people we spend the most time with. He shares how this principle has influenced his career decisions and personal life, reinforcing the importance of surrounding oneself with uplifting and inspiring individuals. This segment serves as a reminder of the impact of social circles on personal and professional growth.
"motto that you find yourself using when things are tough, sharing with friends or family that other few people find useful. Being the average of, you know, the the five people you you spend the mo..."
Nick draws an analogy between music and product development, likening the role of a product manager to that of a jazz band conductor. He explains how great product development involves improvisation and collaboration, where ideas can come from anywhere. This segment highlights the creative and dynamic nature of product management, encouraging a culture of experimentation and play.
"ways. But uh yeah, hopefully I'll get to do more of it um in the future. Is there any analoges between music and your job? Anything that you you find? Yeah, actually I feel like I feel like you ..."
As the conversation wraps up, Nick Turley expresses gratitude for the opportunity to share insights and encourages listeners to engage with ChatGPT. He emphasizes the importance of user feedback in shaping the product's future. This segment encapsulates the collaborative spirit of innovation and the ongoing journey of learning and adaptation in the tech landscape.
"you do. So I use that analogy a lot for those for those who like music. It tends to resonate. Mick, I am so thankful that you made time for this. I know today is insane. Today, tomorrow is going ..."