
speeding embodied agi @hubdotxyz investor @nolimithodl @superscrypt
earth
Joined September 2022
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We have only just begun.
Hub creators have now recorded over 2,000,000 clips of everyday human tasks.
At home: folding laundry, weeding a garden, taking care of animals.
On the job: mechanics, agriculture, construction, and many more. This side is scaling fast, and will soon cover any kind of work a human can do.
Real people, in the wild. First person, across the Americas.
This is the physical world getting written down for the first time, and it is the one thing robots cannot learn from the internet.
What could you teach a robot that nobody else can?
Armin retweeted
I'm more excited than ever about simulation in robotics. One of the main challenges in robotics today is getting enough real-world data to meet the massive data needs of modern robotics.
@FidlerSanja, @HuanLing6, and @ZGojcic, who worked on robotics simulation at NVIDIA, just launched their new company, @VeedaAI, where they're building simulated reality for robotics. I'm very excited to be an early backer of them.
They're hiring, so if this resonates with you, reach out!
I’m incredibly excited to introduce @VeedaAI , which I co-founded with my incredible longtime collaborators @ZGojcic and @HuanLing6 .
We started Veeda because we believe robotics will reshape the world—changing how we move people and goods, how we manufacture and build, and how we operate in the physical world.
We also firmly believe that the scaling moment for Physical AI will come from robots learning through interaction with the world.
Just like humans learn from interaction with their environments by trying, failing and trying again, until we succeed. And just like the capabilities of LLMs were truly unlocked when they started training in interactive environments and not only on vast amounts of internet text.
For Physical AI, the central challenge is making this kind of interactive learning possible at scale. The real world is simply not a practical training ground for robots to learn through trial and error. It is unsafe, expensive, and time-consuming. To scale interactive learning, robots will need to learn in simulated reality.
At Veeda, our sole mission is to build simulated reality for Physical AI. Our conviction is that this will become the critical infrastructure layer for all areas of robotics.
As envisioned in pop culture, this means building “the Matrix” for Physical AI, where, through a virtual embodiment, robot intelligence can interact with an entirely virtual world in a million possible ways, learning from its own mistakes.
We believe that World Models are the foundational technology that can make this possible. These generative models learn from massive amounts of sensor and physical-world data to reach the quality, diversity, and physical realism of the simulated reality that robots require.
I could not be more excited to take on this challenge and build this transformative technology alongside an extraordinary team of engineers and researchers who have spent years working on some of the hardest problems across simulation, generative AI, 3D, robotics, and embodied intelligence.
Together with our investors at @khoslaventures and @radicalvcfund , we intend to push the frontier of this technology and build the foundational infrastructure for interactive robotics learning and evaluation at scale.
Come build this future with us.
And to roboticists, help us understand what you need, we’re building this for you.
veeda.ai
Yes, indeed…
Robotics data needs a plagiarism checker.
Not for the model. For the dataset.
A vendor can send you a perfect 5-minute sample, while a large part of the dataset you’re buying may already exist in your own inventory or in public datasets.
Before buying more data, we need to know how much of it is actually new.
This is a step in that direction.
Armin retweeted
AI has seen a dog get fed more times than anyone could count. It still couldn't feed one itself.
Recognizing a task and knowing how to physically do it are not the same kind of intelligence. Most AI training data teaches the first. Almost none of it teaches the second.
What that second kind actually requires is specific: the half-second a hand waits before releasing food, timed to the exact moment a dog's mouth is ready, not a second before.
The angle of a crouch that keeps balance on uneven tile.
The grip that's firm enough to hold, loose enough to let go cleanly.
It only exists in the motion itself.
Hub pays real people to record exactly this, first person, inside their own homes, at a scale no single lab could stage on its own.
One woman, one dog, one ordinary Tuesday, is a single recording. Multiply it by everyone else doing the same ordinary things in their own homes, and it stops being a data point.
It becomes the dataset embodied AI has been missing.
Armin retweeted
Today we're launching Hebbian Robotics (YC S26) @hbr_pbc .
We build APIs for evaluating data quality, without training a robotics model.
Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure.
High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale.
We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality:
- Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds.
- Changed your collection SOPs? Monitor for quality drift and regression.
- Suspect duplicate samples? Verify with a single API call.
Before Hebbian, I trained AI models for industrial cleaning robots, and @kstonekuan spent years building large-scale infrastructure at Jane Street.
Armin retweeted
No cold emails. No push campaign
Just contributors posting their links because the money showed up.
$120. $32.55. $18.40
All from completing tasks on HubApp and inviting their friends.
The earnings did the rest.
Join them: platform.hub.xyz
Armin retweeted
Capturing the data that doesn't exist yet.
From every corner of the world.
To build a better one. 🌎
Tuesday, June 2nd:
@ycombinator demo day in 2 weeks.
Woke up in São Paulo. Sourcing egocentric data collection for one of the biggest labs in the world.
Boots on the ground, scaling to 1M+ hours across LATAM & the US.
You have to live the motto.
"Make something people want"
Wherever it brings you.
Tuesday, June 2nd:
@ycombinator demo day in 2 weeks.
Woke up in São Paulo. Sourcing egocentric data collection for one of the biggest labs in the world.
Boots on the ground, scaling to 1M+ hours across LATAM & the US.
You have to live the motto.
"Make something people want"
Wherever it brings you.
Something I keep coming back to.
The data training AI comes from everywhere. Voices from Lagos. Streets in Medellín. Kitchens in São Paulo. That texture of human life is inside every major model.
Most of the people who made it possible don't know.
I've watched what happens when someone in their city starts to change that.
They bring Hub to the people around them
Those people start earning from the AI economy
Their neighbor notices
Then their neighbor's contacts
That's how every fire started 🧨
🌎 The next economy runs on real-world human data
Every street. Every voice. Every daily life.
Most people living in it are unaware they’re sitting on something the world hasn’t yet priced.
We're hiring a network of Field Recruiters who want to change that in their city.
Part of that is your network. Most of it is everyone else.
South and North America only
If this resonates, apply ⬇️
xitter.cf/i/jobs/205957066910120…
🌎 The hardest part of building a global data network isn't the tech.
It's finding contributors in places nobody's looked yet.
That's what Scouts solves
Everyone knows who uses AI
Nobody knows who builds it
It all starts with a scout.
Join now: hubxyz.notion.site/368f90b39…
Replying to @hubdotxyz
The new economy is here. Apply here:
hubxyz.notion.site/368f90b39…
Armin retweeted
Someone in Bogotá opened HubApp this week because a Scout in their neighborhood told them about it
That Scout earns when they sign up. They earn when they complete their first task. The more contributors the Scout finds, the more the network grows.
Hub Scouts is open now. South America and North America.
Your job: find video contributors in your area, onboard them to HubApp and build the local Hub community from scratch. No experience required.
The new economy is being built in places like Bogotá, São Paulo and Mexico City. You can be the person who builds it in yours.
Apply below ⬇️
Armin retweeted
Our first founder built a 1M people community responding in seconds to provide niche images to frontier labs 🖼️
🗓️ YC Daily Shoutout #1: @tim404x and @hubxyz
Tim is in my @ycombinator Group Office Hour: he arrives with no sleep in and shows how he crushed his revenue goals 🔥
Armin retweeted
✍️ Everything AI writes looks like everything else AI writes
New task live on Discord, we need the real thing.
Legal. Finance. Consulting. Software Engineering. Data Science.
Native .docx. Human-written. Up to $5 per accepted document.
72 hours. Details in Discord.
Camera rolls are the raw material.
Hub is the processing layer. Labs get the refined dataset. Everyone gets paid.
That's the supply chain
























