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- šŗ šļø Watch: 80% of US Factories Have Zero Robots. Google Wants to Fix That.
šŗ šļø Watch: 80% of US Factories Have Zero Robots. Google Wants to Fix That.
Why AI Is About to Leave Your Screen and Enter the Real World
Welcome, humans.
Real quick: If youāre into robots, youāre in luck! The Neuron is getting ready to launch a sister publications all about robots! To get early access when itās available, click this link to sign up!
Now, most people think the AI race is about chatbots. It's not. The real raceāthe one that could reshape manufacturing, space exploration, and the global economyāis happening in physical AI. And Google just made a big, quiet move.
Intrinsic, the robotics software company that started as an Alphabet moonshot, was recently folded into Google properāwith direct access to DeepMind and Gemini. Their CTO, Brian Gerkey, also co-created ROS, the open-source software that runs on over 1 million robots worldwide, including NASA's robots on the International Space Station. Yeah, his code is literally in space.
In our latest podcast episode, Grant sat down with Brian to talk about why robots still can't work in most factories, what it takes to build the "Android of robotics," and why the best robot ideas come from people who know nothing about robots.
Our favorite moments:
(7:24) Why Intrinsic calls itself the "Android of robotics"āand what that actually means for factories.
(10:49) "The hardware is willing and the software is weak"āthe one-line diagnosis of why automation is stuck.
(11:48) The stat that shocked Grant: 80% of US manufacturing facilities have zero automation.
(14:01) How Intrinsic's Vision Model identifies parts with sub-millimeter accuracy using a cheap camera and a CAD fileāno training required.
(26:50) Why friction is a nightmare to simulateāand what that means for the robot training data bottleneck.
(29:50) "I've got this hammer, which is a robot. That's not the same as knowing what to hit with it." Why you have a better idea for a robot than robotics makers do.
(34:13) Brian's vision for factory operators becoming robot "creators" using generative AI.
(43:23) From Space Camp to the Space Stationāthe code Brian wrote that's orbiting Earth right now.
Why watch this? Because physical AI is where the real economic disruption happens nextāand Brian's (37:22) take on why "this time is different" might actually not be different is one of the most grounded perspectives on AI and jobs we've heard from anyone.
Watch and/or Listen now: YouTube | Spotify | Apple Podcasts
P.S. Brian ended the interview by telling people to go to ros.org, download the software, grab a low-cost robot arm (you can even 3D print one), and just start playing. If you've ever been curious about robotics, there's never been a lower barrier to entry. š¤
Oh, and donāt forget to sign up for our new robotics newsletter here!

Real quick: Want to see your AI-adjacent product or service show up right here, below these podcast promos?
We've got an extra special bundle going right now that is, frankly, bonkers. You can click the link below to learn more, but the fastest way to get a move on this is just to email our ad sales rep Mindy ( [email protected] ) right.
Tell her āIām asking about the Neuron podcast specialā and sheāll hook you up!

š“ LIVE TOMORROW: AI for Total Beginners ā Thursday, April 2 at 1:00PM ET / 12:00PM CT / 10:00AM PT
This week, Grant and Corey are going to walk through The Neuron's 5-Level AI Proficiency Stack: a framework for going from āiāve never used AI but I want to startā or "I use ChatGPT sometimes" to "AI saves me 10 hours a week." No coding required.
This is the actual learning pattern weāve developed over the past three years experimenting with AI that we believe separates casual users from people who are getting real, compounding value out of AI every single day.
The levels range from Projects (why your first move isn't prompting) all the way up to Agents (AI that decides what to do and when to do it).
Choose your favorite platform to watch live: Watch on YouTube | Join on LinkedIn

More From The Neuronā¦
Four recent interviews youāll definitely want to check out (pick whatever looks interesting to you and dive in!):
1. Curious how AI actually learns to do your job? Watch: The Secret Labs Where AI Learns to Work
Surge AI hit $1.2B in revenue without raising a dime of VC, and they've trained more AI models than almost anyone. VP of Product Nick Heiner reveals why even the best models still fail ~40% of workplace tasks, how 200+ Wall Street experts graded GPT-5, Claude, and Gemini on real finance work, and his bold prediction: a $1B company with one human employee by 2030.
2. Want to run frontier AI on your home GPU? Watch: NVIDIA's Kari Briski Breaks Down Nemotron 3 (GTC 2026)
Recorded live at GTC, NVIDIA's VP of Generative AI walks through how a 120B parameter model runs as fast as a 12B on a home GPU, why open-source AI token generation exploded 35x in one year, and the wildest AI agent story yet: an NVIDIA dev's AI caught a water leak, texted him, and emailed a plumber.
3. Worried about your AI chat history? Watch: Our new interview with Eamonn Maguire of Proton on why we need more private AI
Proton's Eamonn Maguire explains the privacy nightmare hiding inside every AI conversation. If you use ChatGPT, Claude, or Gemini for anything sensitive at work, this is the episode that will change how you think about it.
4. Interested in AI for scientific discovery? Watch: This AI Agent Compressed 8 Years of R&D Into 2 Weeks
SES AI's CEO on how AI agents are transforming materials science. If you think AI is just for chatbots and coding, this will expand your view of what's possible.
Last week, we went live with Dan Shipper (CEO of Every) who broke down how his 25-person team ships AI products with virtually zero hand-written code, and dropped a brand new product live on air (read the blog version of the interview here).
(3:22) Plus One launched live on the show: One-click hosted OpenClaws that live in your Slack, connected to all of Every's apps (email, writing, docs). Dan's first time talking about it publicly.
(4:43) The big unlock nobody predicted: Having your OWN claw vs a shared Claude changes everything. Dan's claw "R2C2" handles his bugs, writes YouTube headlines, and keeps notes on quantum physics. It modifies itself to better serve him.
(18:36) The "holy crap" moment: Every's COO told his claw to call him so he could do email while walking. It called him. Nobody told it how to use Twilio. It just figured it out.
(42:06) The Pirate and the Architect: Dan's new model for early AI product teams. You need a pirate (ship fast, break things) and an architect (a few hours a week to tuck in the edges). You don't need a full-time architect if you don't know if the product is any good yet.
And if you havenāt subscribed yet, please do! Click the image below to go to our channel and hit āsubscribeā to get notified right when new videos go live.
We have a goal to hit 50K subscribers by the end of the year (if not 100K), and weāre only 32K away! If you like learning about AI, and already watch some of our videos, do us a favor and click here to subscribe today.
Dive deeper with these resources:
Intrinsic ā Brian's company; explore the Flowstate platform and what they're building
ROS (Robot Operating System) ā the open-source platform powering 1M+ robots, including NASA's Astrobee
AI for Industry Challenge ā Intrinsic's open competition for developers ($180K in prizes)
Intrinsic joins Google (Feb 2026) ā the official announcement
Intrinsic Vision Model ā the foundation model that won 7/11 benchmarks at ICCV 2025
LeRobot by Hugging Face ā the low-cost robot arm Brian mentioned you can build at home
Stay curious,
The Neuron Team
![]() | Thatās all for today, for more AI treats, check out our website.
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