Aravind Srinivas, co-founder and CEO of Perplexity, shares his journey from an intern at OpenAI to leading a new AI-powered search engine. He explores how to compete with giants like Google, emphasizing the need for innovative user experiences. Discussions include the integration of AI in search, the importance of passionate hiring, and the challenges of scaling a tech startup. Aravind also highlights the role of user retention and feedback in shaping future products, paving the way for a new era in search technology.
Aravind Srinivas emphasizes the importance of unsupervised and reinforcement learning in developing generative models for advanced AI applications in search engines.
The discussion reveals a focus on improving user engagement through innovative query reformulation techniques and the significance of user feedback for continual product enhancement.
Deep dives
The Journey to Perplexity
The creator's journey into the world of AI began with a profound interest in deep learning, stemming from his time as a PhD student at Berkeley. An internship at OpenAI significantly shaped his perspective when he was told that traditional research approaches were less important than focusing on unsupervised learning and reinforcement learning. This revelation led him to transition his studies toward generative models and unsupervised learning. Ultimately, he aimed to create a product that would integrate advanced AI with practical applications, particularly in search engines.
Innovative Search Engine Concepts
The discussion includes innovative ideas on enhancing search engines, emphasizing query reformulation techniques that improve search results. Utilizing generative AI for automatic query improvements was seen as a way to refine how search engines operate, allowing them to deliver more relevant responses. The goal was to create a platform that not only sourced information but also provided the context needed for better understanding. This approach paved the way for developing a product that would engage users more effectively than traditional search engines.
User Engagement and Feedback
The team launched a product that enabled users to ask follow-up questions, which significantly boosted engagement and increased the number of daily queries. Early user interactions revealed that many individuals were curious about their online presence, prompting them to search for themselves and share their findings on social media. This user behavior highlighted the potential for growth and continual improvement of the product based on real-world usage and needs. The response demonstrated the importance of user feedback in refining the search engine's capabilities and features.
Future Vision and Market Competition
While envisioning the future of the product, the founder aims for it to evolve into a more intelligent and integrated search engine capable of facilitating not just answers but actionable solutions. The challenge lies in balancing the ad-free informational experience with the necessity of monetization for sustainability. Competing directly with tech giants like Google and Microsoft remains daunting, yet there's confidence that a personalized and user-centric approach can carve out a niche. The realization is that the key to success is creating a product that genuinely understands and meets the needs of users while adapting to shifts in AI capabilities over time.
YC General Partner David Lieb sits down with Aravind Srinivas, the co-founder and CEO of Perplexity, to discuss his origins in Silicon Valley, what it's like to compete with Google, and what the future of search could look like.
Apply to Y Combinator: https://ycombinator.com/apply
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