Years later, you are a research scientist at OpenAI, which you leave after a year to bet on yourself.
Cut until 2024.
You built an AI-based 1B search company with investors like Nvidia, Daniel Gross, Jeff Bezos, etc.
This is the story of Aravind Srinivas, CEO of Perplexity.ai.
In this episode of Product-Led AI, Aravind and I discuss a multitude of topics: Perplexity's gap as an AI-powered "answer engine" that disrupts search, the impact it could have on the industry's advertising-based business model, why startups have an advantage over incumbents, and more.
You can read a transcript of our conversation and learn more about the series at https://productledaipod.com/
0h00 – Introduction to AI applications
1:06 – Aravind’s journey and his journey to founding Perplexity
2:38 – Evolution of the concept and financing of Perplexity
4:08 – Transitioning from research to end-user product
5:30 p.m. – Solve the problem of “hallucinations/”
7:45 a.m. – Creating a product focused on web search
10:33 – Summary for faster answers
11:48 – Pro Subscriber Features
1:00 p.m. – Potential avenues for Perplexity’s growth
3:10 p.m. – Data security issues in workplace browsers
6:01 p.m. – Categorize models into takers, shapers, creators
20:23 – The challenge of indexing the entire web
9:38 p.m. – Long-term commitment to indexing and crawling
24h01 – Importance of routing to the appropriate models
25:24 – Ensuring new websites can achieve great success
27:10 – The future of the citation economy and web monetization
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