On Perplexity.AI, Rethinking Search, Learning from the follow-up.

Played with this for some time. A different experience

 https://youtu.be/_vMOWw3uYvk?list=RDCMUCMLtBahI5DMrt0NPvDSoIRQ

PERPLEXITY AI - The future of search.

Machine Learning Street Talk

https://www.perplexity.ai/

https://www.perplexity.ai/iphone

https://www.perplexity.ai/android

Note: this was a sponsored interview and filmed on April 19th.

Interview with Aravind Srinivas, CEO and Co-Founder of Perplexity AI – Revolutionizing Learning with Conversational Search Engines

Dr. Tim Scarfe talks with Dr. Aravind Srinivas, CEO and Co-Founder of Perplexity AI, about his journey from studying AI and reinforcement learning at UC Berkeley to launching Perplexity – a startup that aims to revolutionize learning through the power of conversational search engines. By combining the strengths of large language models like GPT-* with search engines, Perplexity provides users with direct answers to their questions in a decluttered user interface, making the learning process not only more efficient but also enjoyable.

Aravind shares his insights on how advertising can be made more relevant and less intrusive with the help of large language models, emphasizing the importance of transparency in relevance ranking to improve user experience. He also discusses the challenge of balancing the interests of users and advertisers for long-term success.

Exploring the challenges and opportunities with this new search modality, Aravind highlights how blurring the boundaries between a conversational interface and a search user interface can lead to more personalized search experiences. Perplexity's vision is to create a dynamic, personalized Wikipedia-style experience for users, encouraging them to ask follow-up questions and explore related topics in an engaging loop. As users zoom in on specific details or zoom out to understand broader connections, learning becomes more efficient and tailored to individual needs.

The interview delves into the challenges of maintaining truthfulness and balancing opinions and facts in a world where algorithmic truth is difficult to achieve. Aravind believes that opinionated models can be useful as long as they don't spread misinformation and are transparent about being opinions. He also emphasizes the importance of allowing users to correct or update information, making the platform more adaptable and dynamic.

Lastly, Aravind shares his thoughts on embracing a digital society with large language models, stressing the need for frequent and iterative deployments of these models to reduce fear of AI and misinformation. He envisions a future where using AI tools effectively requires clear thinking and first-principle reasoning, ultimately benefiting society as a whole. Education and transparency are crucial to counter potential misuse of AI for political or malicious purposes.

Join us in this engaging conversation as we explore the future of AI, language models, and the transformation of learning, research, and personal knowledge management with Aravind Srinivas of Perplexity AI.

Pod version: https://podcasters.spotify.com/pod/sh...

Aravind Srinivas: 

https://www.linkedin.com/in/aravind-s...

https://scholar.google.com/citations?...

https://twitter.com/aravsrinivas?lang=en