A few weeks ago, Paul Graham tweeted—”In office hours with founders we often talk about how to create some metaphorical ‘next Google’. Today I talked with one founder about how to create an actual next Google. That was pretty exciting.”
In office hours with founders we often talk about how to create some metaphorical "next Google." Today I talked with one founder about how to create an actual next Google. That was pretty exciting.
— Paul Graham (@paulg) July 31, 2022
I thought about it and tweeted my thoughts.
I guess it could be in *synthesis*, for post-search… so everything that Google Search does… a synthesis of that for meaningful and metadata driven intelligent discovery for N use cases. Synthesis is the future.
— Vinish Garg 🎗 (@vingar) July 31, 2022
The talks of information oceans and the need for knowledge management systems are already making rounds in our tech discussions.
A few days ago, Balaji posted something from the same thread.
Synthesis engines > search engines
— Balaji (@balajis) August 19, 2022
Synthesis engines like DALL-E will create text, audio, images, and video in many formats from detailed prompts.
You’ll only use a legacy search engine like Google when you need to actually cite someone else. https://t.co/dZdWqftxEa
Balaji mentioned DALL-E and we see some examples of OpenAI application. Even if we have questions on DALL-E’s capabilities (this tweet by Michael Andrews today), and regardless of how such technologies advance towards the validated use cases for the great good of the life on planet, I guess synthesis search is the future.
It is a multi-layered technology where we have trained language models, micro interaction processing units, interface APIs for real time message spray, and our search experience will be based on synthesis and not only on our live queries.