How to Generate a Beautiful Answer With Bullet Points and Numbers

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LMS are these great reasoning engines. You throw you throw a lot of text at them and tell them what to do with it and they'll do it for you. We collate from multiple different indexes, multiple crawls of the web and pull up the relevant links. And then we ask to LMS to do all the reasoning on top and then we give you the answer. Now the magic is that all this happens so fast. Back then the latency used to be like five to six seconds per query. In fact, one of our investors, Daniel Gross, he used to joke to me saying you should call it a submitted job and not a submitted query. It's that slow.

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Today’s show:

Perplexity’s Aravind Srinivas joins Jason to discuss competing with the major players in the generative search / AI chatbot market (1:25), designing an AI-powered search engine (4:49), and much more. *

Check out Perplexity: https://www.perplexity.ai/

Follow Aravind: https://twitter.com/AravSrinivas

Time stamps:

(00:00) Perplexity CEO Aravind Srinivas joins Jason

(1:25) Competing in the generative search / AI chatbot market

(4:49) How Perplexity's AI model formulates answers

(11:18) Crowdbotics - Get a free scoping session for your next big app idea at https://crowdbotics.com/twist

(12:46) How Perplexity is citing sources

(20:20) Incorporating advertising into AI chatbots

(25:32) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist

(26:40) How Perplexity recruits talent and Aravind's time at OpenAI

(32:04) The future of AI technology and overcoming overlap