At VB Transform: Perplexity CBO Discusses Factfulness, Plagiarism, and How AI and Perplexity Aim to Redefine Traditional Norms

Factfulness: A New Era in AI Search

While "factfulness" isn't an official term, it encapsulates the promise of Perplexity and its innovative “answer engine.” As Perplexity CEO Aravind Srinivas stated to The Verge in March, “Factfulness and accuracy is what we care about.” This focus on precision is precisely what users desire from an AI search engine. High-profile advocates, such as Nvidia CEO Jensen Huang, who reportedly relies on Perplexity daily, and Shopify CEO Tobi Lütke, who has shifted from Google, highlight the excitement in the tech community. Some experts argue that Perplexity is challenging Google’s dominance, a topic that Chief Business Officer Dmitry Shevelenko will address at VB Transform 2024.

Despite this enthusiasm, publishers express considerable skepticism towards Perplexity, labeling it as “a rent-seeking middleman.” The platform delivers answers directly to users without directing them to the originating sources, resulting in ad revenue going to Perplexity while content creators lose out. In response, Shevelenko notes that Perplexity is developing a revenue-sharing strategy that will be unveiled soon. The recent launch of its Pages feature, which generates comprehensive reports by aggregating content, raises further concerns. If a student were to submit such a report, it would likely be deemed plagiarism; similarly, developers may face repercussions for neglecting robots.txt protocols, with AWS currently investigating these issues.

This leads to an important question: Is the unwritten rule concerning robots.txt ready for reevaluation in the Age of AI?

So, what's the real scoop? Dmitry Shevelenko is excellently positioned to provide insights. Don’t miss his presentation at VB Transform 2024, where you'll have the chance to engage directly and explore how Perplexity is influencing AI's evolution, the practical applications of large language models, and the necessary rethinking of data use and organizational efficiency.

The conference is just around the corner! Join us live in San Francisco on July 9, 10, and 11, focusing on implementing AI at scale with practical generative AI case studies and application stories from industry leaders. Register now to be part of the AI revolution!