The Future of Search: How AI is Changing the Game

TLDRIn the next 10 years, search will be revolutionized by AI-powered agents that provide accurate answers and complete tasks. It will resemble conversations with friends, leading to an unsupervised learning experience. Perplexity AI CEO Arvin explains the challenges of building a top-tier search product and emphasizes the importance of focusing on accuracy, reliability, latency, delightful user experience, and constant improvement. He also discusses the future of search, the role of chat GPT, and the potential of AI to preserve memories. The key to success is integrating design, product engineering, and AI research, while being pragmatic about building your own models.

Key insights

Search in the next 10 years will involve AI-powered agents that provide accurate answers and complete tasks.

🔍The future of search will resemble conversations with friends, leading to an unsupervised learning experience.

🚀Accuracy, reliability, latency, delightful user experience, and constant improvement are crucial for building a top-tier search product.

💡The future of search relies on the integration of design, product engineering, and AI research.

🤖Building your own models should be done after waiting for the next wave of open source technologies.

Q&A

What will search look like in 10 years?

Search will be revolutionized by AI-powered agents that provide accurate answers and complete tasks, resembling conversations with friends.

What are the key factors to consider when building a top-tier search product?

Accuracy, reliability, latency, delightful user experience, and constant improvement are crucial for building a top-tier search product.

How can AI preserve memories?

AI can be used to preserve memories by recording and preserving conversations, allowing people to communicate with their loved ones even after they are gone.

What is the role of design, product engineering, and AI research in search?

The integration of design, product engineering, and AI research is essential for creating a successful search product.

When should companies consider building their own models?

Companies should consider building their own models after waiting for the next wave of open source technologies and ensuring the right resources and expertise are available.

Timestamped Summary

00:00In the next 10 years, search will be revolutionized by AI-powered agents that provide accurate answers and complete tasks.

04:00Accuracy, reliability, latency, delightful user experience, and constant improvement are crucial for building a top-tier search product.

09:00Companies should consider building their own models after waiting for the next wave of open source technologies and ensuring the right resources and expertise are available.