Hello, real world We're making the physical world accessible to AI
Earth and beyond
Joined February 2025
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Hello, real world
Meet Physical AI Update: robotics news, demos worth watching, and ideas from the community, every two weeks.
First up: @peaq, @GEODNET, and robots with chores to do.
Subscribe for free:
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Intercognitive retweeted
We are in the golden age of frontiers, and we’re very excited to support these frontiers @a16z
For the learners
Physical Intelligence's co-founder put his entire Berkeley course on YouTube: every lecture from this spring, plus the homework code.
"CS 185/285: Deep Reinforcement Learning," Sergey Levine (@svlevine), UC Berkeley, Spring 2026.
Imitation learning, policy gradients, actor-critic, Q-learning, model-based RL, offline RL, exploration, RL for LLMs and multi-task learning - 25 lectures plus 2 guest talks, about 36 hours, free.
Lectures 2 and 3 are learning from human demos, the same idea behind ALOHA and π0. the rest is how a robot keeps getting better after the demos run out.
Figure is hiring an RL Engineer for whole-body control right now, at $150K–$350K. this course is what the "RL" in that title means.
Lectures: youtube.com/watch?v=DD8APgTE…
Homework: github.com/berkeleydeeprlcou…
P.S. lecture 14 is RL with sequences and LLMs, the same toolkit used to train today's reasoning models.
Intercognitive retweeted
Do you think retailers would spend 0.5% of their revenue on physical AI — the most powerful tool they've ever had?
That's already $125 billion. It's a big pie, and we've got a head start on cutting out a slice.
How big can physical AI in retail get?
Nils from @Auki shares the numbers here, from signed locations to 2027 deployments:
▪️ Auki has already signed over 1,000 locations for @CactusXR
▪️ The project plans to deploy over 1,000 robot store managers in 2027, connected to Cactus and delivered to existing customers
▪️ Retail could spend over $125 billion on physical AI within 5 years
This is what a clear plan looks like: a product and signed locations today, robot deployments planned for 2027 and over $125 billion in retail spending expected within 5 years👀
imho the future looks bright 🦾
Intercognitive retweeted
officially retiring the crash mattresses
drastically reduced our control parameters and built a much simpler flight controller
much better stability and actual controlled landings with zero broken parts
Intercognitive retweeted
"Our DePIN has evolved into an agentic network" 🎙️
Agents Speak Tashi 👉 agents.tashi.network/
Tech blogger 神奇阿宇 from Hubei, China, built a working hoverboard.
Electric, with 10 brushless motors pushing over 30kg of thrust each—enough to lift 4 people—and peak current hitting 2,000 amps.
2 STEPX Neo phones as the board's brain. One inside the board reads posture data in real time; the other on his wrist feeds AI voice prompts through his earbuds—"Weight's shifting left!" "Bend your right knee!"
After 10+ days of brutal training and AI-assisted correction, he achieved man-machine sync.
Solid
15 Robotics Research Voices on X
@chris_j_paxton
= Honest takes on every humanoid demo, from AI at Agility.
@KarlPertsch
= Robot datasets and open VLAs, from DROID to OpenVLA.
@kevin_zakka
= The sim tooling behind MuJoCo Menagerie and mjlab.
@chichengcc
= Diffusion Policy and UMI, from the person who built them.
@hausman_k
= Robot foundation models, from RT-2 to Physical Intelligence.
@ankurhandos
= Dexterous robot hands, straight from NVIDIA research.
@du_yilun
= Video generation models used as robot planners.
@AjayMandlekar
= A few human demos turned into thousands in simulation.
@0x_meden
= Robotics jobs, free courses and open-source robots, broken down.
@xuxin_cheng
= Humanoid teleoperation, from the creator of OpenTeleVision.
@peteflorence
= Scaling robot foundation models at Generalist.
@breadli428
= How legged robots and humanoids learn to move.
@ericjang11
= Long essays on where robot learning is heading.
@IlirAliu_
= The robotics industry for founders, investors and operators.
@TheHumanoidHub
= Every humanoid launch, demo and funding round in one feed.
Intercognitive retweeted
I remember being nominated for The Forttuna Group's Innovator of the year award while I was in New York earlier this year.
Such a full circle moment now seeing my face on the screen at Times Square. This milestone belongs to the whole team at @tashiprotocol, who keep pushing forward daily. Thank you to everyone who has backed us along the way.
Intercognitive retweeted
Nils recently gave a keynote at the Humanoid Hub conference on our core thesis of the real world web and why we're making environments smarter while everyone else is only focused on the robots.
For yesterday's community update he went through it again. 👇
Intercognitive retweeted
Traditional surveying equipment: $5,000–$15,000+.
Traditional RTK subscriptions: hundreds to thousands per month.
GEO-MEASURE: $695. Includes 1 year of free RTK corrections on the world’s largest network.
Centimeter-level precision. Built for professionals. Priced for everyone.
Tasks in plain language
Working with robots has always been harder than it should be.
The intelligence was hard to access. The hardware was hard to afford.
Today, both change.
@makermodsai Maker Arm + Metal Arm, powered by @dreamlabs_ai 's Dream-1. Give your robot a task in plain language, right from your browser.
Try it: playground.makermods.ai
Intercognitive retweeted
Never been to one of our robots & beers events? Here's what you're missing:
- Presentations with lively Q&A
- Robot soccer mayhem
- Networking with robotic manufacturers, academics, creatives, web3, finance, international entrepreneurs looking to found startups in HK
- Beers 🍻
Looks like an average grocery store, but it's actually a robotics data collection and evaluation environment in the @Auki office in Hong Kong. I'm slowly starting to understand why they say robotics is so far ahead here...
