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.

I’ve never wanted to promote myself.

I’ve never wanted to argue with people on the internet.

I’ve never wanted to sue anyone.

I want to make my little thing and put it out in the world and hope that sometimes it means something to somebody else.

Without exploiting anyone.

And without being exploited.

If that’s possible.

Sometimes, when I use LLMs, it feels like I’m consulting the wisdom of literally everyone who came before me.

And the vast compendium of human experiences is undoubtedly complex, contradictory, painful, hilarious, and profound.

The copyright and ethics issues surrounding AI are interesting to me because they feel as those we are forcing software engineers and mathematicians to codify things that we still do not understand about human knowledge.

If humans don’t have a definitive answer to the trolly problem, how can we expect a large language model to solve it?

How do you define fair use? Or how do you value knowledge?

I really feel for the humans who just wanted to create things on the internet for nothing but the joy of creating and sharing.

I also think the value we collectively receive when given a tool that can produce pretty accurate answers to any of our questions is absurdly high.

Anyway, check out this really great comic, and continue to support interesting individuals on the internet.