Traditionally, more complex software is harder to use. Nabeel Hyatt, general partner at Spark Capital, says that if Adept's team achieves its full potential, this may no longer be the case. It will do what you would do with your computerGranted such technology is still years away, but the speed of innovation in the AI space means we’re talking about two to three years, according to Luan — not decades.
A self-professed auto geek, Luan imagines a world where an engineer can ask an AI assistant to make a blueprint for a new car part and watch as it does exactly that, step-by-step, selecting the right software programs and inputting the necessary commands or code, with its human as copilot. Want to modify a portion of the design, test it in a car simulator software or send the blueprint to a manufacturer? In Luan’s vision, the AI would take care of all of that too.
Adept, barely a one-year-old startup with just 25 employees, has raised $350 million of venture capital after demoing a rudimentary version of such a digital assistant. Instead of generating text, like, or images, like DALL-E, Adept intensely studied how humans use computers—from browsing the internet to navigating a complex enterprise software tool—to build an AI model that can turn a text command into sets of actions.
“A synthesizer lets a musician play sounds of every instrument without having to learn how to play every instrument. We want to build the same thing for computing,” Luan toldGeneral Catalyst and Spark Capital bankrolled the bulk of the Series B funding round, which was completed at a post-money valuation of at least $1 billion, per two sources involved with the deal. The core part of the financing was completed last fall, before ChatGPTa consumer AI frenzy, according to Luan.
A synthesizer lets a musician play sounds of every instrument without having to learn how to play every instrument. We want to build the same thing for computing.Part of the investor froth comes from the cofounders’ pedigree — rare among the flurry of founders who have flocked to start AI startups in recent months. “A lot of people talk the game, but it's very difficult for them to play the game,” Nishar said.
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