.@AppliedInt wants to make robotics as easy as building an iPhone app:
"Dana is our new agentic platform for physical AI. This really is the culmination of pretty much everything we've worked on now over the last decade."
"Building physical AI is extremely complicated... We know how to make the chips. We know how to make the hardware for these systems. It's more so actually developing all of this technology and getting it to work that is very, very difficult."
"With modern AI and with this new Dana platform, we're really drastically reducing the barrier to entry to building physical AI and deploying it in the real world."
"If you're building an app for an iPhone, high school kids can do that now because there's all of these things that exist and that make it easy... It's very hard to do that in terms of robotics."
"The thing that Peter's really emphasizing and thing that we really wanna do is just lower the bar. So anybody really out there, starting with engineers, but ultimately really anybody can develop robots."
Applied Intuition Co-founders Peter Ludwig and @qasar on @bizbreakdowns
Video
a16z (@a16z)
.@AppliedInt Co-founder and CTO Peter Ludwig says "a billion machines will become autonomous or intelligent over the next ten years."
"Cars, trucks, tractors, mining haulers, defense systems, warehouse robots, humanoids—the physical economy will be rebuilt around software that perceives, decides, and acts."
"The prevailing assumption about how we get there goes something like this: models keep improving, world models mature, foundation models for robotics arrive, and autonomy falls out the other end. Intelligence is the whole game; scale the intelligence and the machines will follow."
"The contrarian bet, then, isn't against intelligence. It's that the next order of magnitude in physical AI comes from making the engineering system as intelligent as the models it carries."
Full piece on compounding systems and Applied Intuition's newest platform, Dana: a16z.news/p/the-next-ai-moat…
Link
The Next AI Moat Isn’t a Better Model
Everyone is betting on bigger models. But with physical AI, the intelligence isn’t the multiplier. Learning is.
a16z.news
— https://nitter.net/a16z/status/2082111195813904787#m