Archetype AI
@PhysicalAI
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Helping humanity make sense of the world with Physical AI
Palo Alto, CA
Joined September 2023
Newton Explained: The complete story of Physical AI. Coming this fall.
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💡Newton observes the world and forms interpretations without the use of human-generated labels in training. This opens the door to something remarkable: an AI that understands physical processes on its own terms, free from the constraints of human assumptions and biases. As
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We are #hiring a Growth Marketing Manager to set up our lead generation engine. Learn more & apply here 👇.
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🤟Our Head of Machine Perception & Hardware and co-founder Jaime Lien @_jaimelien_ was featured in the “5 Qs with a Founder” series by @TheHatchAgency , sharing her journey from MIT & Stanford research to pioneering Physical AI.
“Our role isn’t to teach AI what to think, but how to communicate: how to explain and align its machine-native understanding with our mental models of the world.” – Jaime Lien, Co-Founder at @PhysicalAI. 💭Read more of her thoughts in 5 Qs with a Founder:
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From detecting late crossings to explaining low productivity in massive construction sites, Newton is a foundation model built to understand the world. Multiple use cases, zero-shot, truly scalable. #PhysicalAI
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RT @ipoupyrev: Digital cameras don’t capture "real reality." Like any sensor, they distort by upscaling low-resolution data into sharp imag….
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Currently standing as the most upvoted in the channel:. 🥁🥁🥁. Snow Crash by @nealstephenson. #ATAIreads #sciencefiction #scifibooks
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So we have a Slack channel for no-work stuff as one should. For the past two weeks it's been blowing up with the sci-fi books our team has been geeking out on. We thought we'd share. Starting with. of course:. #ATAIreads #sciencefiction #scifibooks
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From observation to interpretation to representation. True understanding for a Physical AI model requires both physics (quantitative information) and semantics (qualitative information). Read on:
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🚨 We're #hiring : Operations Manager. Be the operational backbone as we build Newton, our foundation Physical AI model & platform. You'll own lots of stuff including systems, vendor relationships, team events, and strategic projects. 5+ years ops experience. Startup experience
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On the role of technological frames in technological progress:.
This is by no means an exception or some sort of bug in human cognition. When a new revolutionary technology emerges, we need to understand it in familiar terms, within the limited plane of what feels comprehensible. (2/4).
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We made a poster about Physical AI that understands the world not through our human biased interpretations of it, but instead directly through the trillions of sensors out there. We've already built it. It's called Newton. It's cool. So is the poster (+free to download!). From
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Newton, our #PhysicalAI foundation model, in a nutshell:. Let’s say that the physical world as a whole can be represented as a superset Ω that encompasses all possible physical quantities for objects varying across space and time. One could aspire to train a single universal
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