We’ve seen a lot of AI giants engage in questionably legal and arguably unethical practices in order to get the data they want. In order to prove the value of Perplexity to investors, Srinivas built a tool to scrape Twitter by pretending to be an academic researcher using API access for research. “I would call my [fake academic] projects just like Brin Rank and all these kinds of things,” Srinivas told Lex Fridman on the latter’s podcast. I assume “Brin Rank” is a reference to Google co-founder Sergey Brin; to my ear, Srinivas was bragging about how charming and clever his lie was.

I’m not the one who’s telling you the foundation of Perplexity is lying to dodge established principles that hold up the web. Its CEO is. That’s clarifying about the actual value proposition of “answer engines.” Perplexity cannot generate actual information on its own and relies instead on third parties whose policies it abuses. The “answer engine” was developed by people who feel free to lie whenever it is more convenient, and that preference is necessary for how Perplexity works.

So that’s Perplexity’s real innovation here: shattering the foundations of trust that built the internet. The question is if any of its users or investors care.

Well, I sure do care.