CEO Richard Socher speaks at the
RE•WORK Deep Learning Summit

Richard Socher megaphone image for ReWork Deep Learning Summit talka

Disclaimer: This blog post was published prior to’s latest AI advancements and may not reflect our current capabilities. has transformed from a search engine to an AI assistant. With a foundation in search and the team’s AI expertise, was perfectly positioned to enhance LLMs with live access to the Internet to address issues around hallucinations and transparency. As such, is capable of tasks ranging from searching online to writing an essay, debugging code, creating digital art, solving complex problems, and more. Learn more about getting the most out of also offers its core technology through a suite of self-serve APIs. Get complete details about the YOU API.

Last month, founder and CEO Richard Socher joined the RE•WORK Deep Learning Summit for a fireside chat hosted by Radical Ventures partner Rob Toews.

“When you think about the entire economy, it’s all moving online, and currently, you have a single gatekeeper that tells you what to buy, what to read, what to see, what to consume. And that single gatekeeper mostly wants to sell you to the highest bidding advertiser. And so, search quality has gone quite significantly down — people don’t have control, privacy is getting invaded,” Socher said.

Socher, who has spent more than a decade researching artificial intelligence, deep learning, and natural language processing, believes that search — specifically helping people explore and summarize information on the internet — is the single highest impact application of these technologies today.

“And as I was thinking about what’s the most important AI application of our current digital age, I really kept coming back to search for many, many years, and I couldn’t quite shake the idea off. And so we wanted to start a search engine where the users are in control, but we care about privacy and user choice, and agency as well as saving people time,” Socher said.

Watch the full interview below: