Brett Adcock is the founder and CEO of Figure AI, a company renowned for developing general-purpose humanoid robots. He is also well-known as the founder of Archer Aviation, an electric vertical takeoff and landing (eVTOL) aircraft company, making him a prominent serial entrepreneur in advanced technology.
“Yeah, I ended up firing them and splitting ways a year later.”
A highly provocative statement, revealing Figure AI's dramatic decision to sever ties with a major investor and AI partner, OpenAI, indicating significant strategic disagreements.
Brett Adcock
“I think you can solve a general purpose robotics with maybe like hundreds or low thousands of robots. Maybe maybe a hundred.”
This is a highly provocative claim, suggesting that the path to general-purpose robotics might not require a massive fleet or data scale but could be achieved with a surprisingly small number of highly capable systems.
Brett Adcock
“You sell over a billion phones a year easy. I think it's going to be a robot for every human. You'll need cell phone-quality style manufacturing.”
This is a bold and potentially polarizing prediction about the future omnipresence of robots, drawing a direct parallel to the mass adoption and manufacturing scale of mobile phones.
Brett Adcock
“I think this is not 10 years. This is really soon. I'm hoping this year we can drop a robot on your home and do a good amount of stuff.”
This bold prediction challenges common perceptions about the pace of robotics development, suggesting widespread home robot deployment is imminent and sooner than many expect.
Brett Adcock
“It's going to replace somebody meeting the candidates that are interviewing there, taking them to the conference room, getting them water or coffee, like all of that end-to-end.”
This quote highlights a very specific, near-term application of robots in professional settings, directly impacting administrative roles, which could be seen as either highly efficient or a threat to jobs.
Brett Adcock
“We went back to the office, and said we need to basically refactor everything into a neural network. It's basically entirely down the stack, including the controllers, a neural net now. There's no code left really on the robot. We removed the need for almost over 100,000 lines of code.”
This reveals a radical, contrarian approach in robotics software development, suggesting that neural networks can replace vast amounts of traditional code for more flexible and scalable AI.
Brett Adcock
“We wanted to do all of that with just neural networks. Can you take in camera pixels and then output trajectories for the motors through a neural network? No code.”
This highlights a significant and potentially controversial approach in AI-driven robotics, emphasizing pure machine learning over traditional explicit programming, which could spark strong debate among AI practitioners.
Brett Adcock
“My envision is that you're going to be for most trips that you're traveling over 20 minutes, all that will move to the sky. And not only that, but you will have cities being transitioned to a point where you can live well outside of cities and get to cities really fast.”
This is a bold, transformative prediction about the future of transportation and urban living, suggesting a fundamental shift in how we structure our lives and cities.
Brett Adcock
“The mandate for most of these VCs in the Bay Area or Silicon Valley are not to do hardware. They don't do deep tech. They don't do rockets and autonomous vehicles. I don't think there's a single top VC in the US that has invested in a humanoid company.”
This reveals a controversial and often overlooked bias within venture capital against funding deep tech and hardware, which challenges conventional perceptions of tech investment.
Brett Adcock
“This is going to be humanoid robots, hardware gets good, and then you're basically going to be this is going to be a data play to train neural networks to run on humanoid hardware and do what humans do.”
This quote articulates the core strategic vision for humanoid robots as a data-driven AI problem running on advanced human-like hardware.
Brett Adcock