The speaker, a PhD in AI from Berkeley and founder of Perplexity, explores the interesting trend of academics increasingly founding technology startups, particularly within the AI field. He notes the prevalence of PhDs among AI conference speakers and contrasts this with a study showing a decline in startup formation by US PhDs over the past two decades. This observation leads him to ponder the last major technology company founded by academics, identifying Google as the example. He then draws a humorous parallel with the frequent accusation that Perplexity is trying to "kill Google," emphasizing instead their focus on building and innovation.
The speaker then references a 2000 interview with Larry Page, who envisioned AI as the ultimate version of Google, capable of understanding and answering any question on the web. This vision, made decades ago, accurately predicted the future trajectory of search. He uses this to frame a central question: while technology is often about anticipating the future of search or AI, it’s crucial to consider the future of humanity alongside technological advancements.
The speaker posits that AI will ultimately enhance our human experience, emphasizing the importance of relentless questioning, a core principle of both academia and the Socratic method. He illustrates this with the humorous anecdote about South Indian parents questioning a decision to leave a stable job for a startup. Furthermore, he references David Deutsch's concept of human curiosity extending to the familiar, always seeking new questions even with existing knowledge. He ties this relentless questioning to the origins of Perplexity.
He recounts how Perplexity emerged from his personal frustration with traditional search engines during his transition from academia to entrepreneurship. Faced with an overwhelming amount of information and limited time, he and his co-founders created a Slack bot powered by AI to answer questions with well-researched responses drawn from the web. This bot quickly evolved into something much bigger, providing users with trusted answers accompanied by citations, mirroring the academic practice of source attribution. This trust is paramount, enabling better follow-up questions and fostering deeper knowledge.
The speaker emphasizes the profound impact of accessible knowledge on human progress. Historically, access to the best answers was limited to those with resources and connections. However, AI-powered search is democratizing access to information, leveling the playing field between a Harvard professor and a student in a developing nation. This shift reduces the marginal cost of research to near zero.
In this new era, access to knowledge becomes less of a barrier, and the quality of questions asked becomes the defining factor. The speaker believes that the potential for human inquiry is infinite, as long as relentless questioning persists. He illustrates this with the innate curiosity of babies, and the seemingly endless branching of questions that arise from AI-generated answers.
Ultimately, the speaker argues that the future of technology and AI hinges on the future of human curiosity. He believes that as AI becomes increasingly adept at answering questions, the human quality of curiosity and relentless questioning will become even more critical. The tools we develop to ask questions and the innovations we create with the answers will define the future of technology and, more importantly, the future of humanity. He concludes with a hopeful anticipation of the questions that will be asked and the progress that will be achieved as a result of our collective curiosity.