Coline Devin retweetet
GEN-1 plays with fidget toy.
Other tasks GEN-1 can do:
youtube.com/playlist?list=…
Read more about GEN-1, our latest foundation model for the physical world:
generalistai.com/blog/apr-02-20…
English
Coline Devin
65 posts
Coline Devin
@ColinearDevin
GeneralistAI Prev: Google Deepmind Robotics
Beigetreten Ocak 2021
174 Folgt686 Follower
I love the little clicks when the pins are placed into the bowl <3
Generalist@GeneralistAI
GEN-1 removes thumbtacks and papers from corkboard. Other tasks GEN-1 can do: youtube.com/playlist?list=… Read more about GEN-1, our latest foundation model for the physical world: generalistai.com/blog/apr-02-20…
English
Coline Devin retweetet
GEN-1 puts plushies into polybags, in a warehouse outside the lab in New Hampshire.
English
Coline Devin retweetet
I love this one, because deploying a robot then “integrating with customer APIs” is not fun.
But a lot simpler when your robot can push the same buttons as a human 👆or use a touch screen.
Also, GEN-1 has memory too — it learns to “remember” which sock it put away, then taps.
Generalist@GeneralistAI
GEN-1 sorts socks and uses a touchscreen stylus. Done in collaboration with a partner on the Generalist platform. More on this soon.
English
You shouldn't need a PhD to teach a robot new tasks. Using our platform, partners can do this without a writing a single line of code.
Generalist@GeneralistAI
GEN-1 sorts socks and uses a touchscreen stylus. Done in collaboration with a partner on the Generalist platform. More on this soon.
English
Coline Devin retweetet
GEN-1 puts pens into zipper bag.
Robot’s view, pixels into the model.
English
Coline Devin retweetet
As a PhD student, I worked on methods to generalize across motion, objects, lighting, backgrounds, etc. Each is hard, and there’s always a long tail. (E.g. my robot still can’t handle new camera views—hence the “Don’t move! Thx :)” sign.)
But if you have enough data to train from scratch, many of these generalization problems start to disappear. You get them almost “for free.”
What’s powerful is the clarity you get when you start from the goal, not from a favored method: data is a key bottleneck to remove on the path to physical AGI. And working backwards from first principles, there may be ways to solve the data problem that aren’t actually that expensive.
That unlocks the freedom to train from scratch with simple methods, not crutches.
Pete Florence@peteflorence
goals are more powerful than methods
English
Coline Devin retweetet
Generalist's new physical robotics AI brings “production-level” success rates arstechnica.com/ai/2026/04/gen…
English
don't need a robot to teach a robot
Kamyar Ghasemipour@coolboi95
0 robot data. Less than 2hrs of human data. Model opens its eyes and suddenly sees it’s become a robot.
English
Coline Devin retweetet
This is GEN-1 putting paper bills into a wallet.
Paper has always been deceptively hard for robots.
Thin, deformable, and unforgiving—it bends, folds, and slips.
Not precise, you miss. Too much force, you crumple.
Easy for humans. But for robots, it’s a full-stack challenge.
English
Coline Devin retweetet
Hear more about GEN-1 and improvisational intelligence from our own researchers @coolboi95 and @felixwyw
English
It's phase change in mastery when you move from measuring success rates as a percentage to counting successes in a row.
English
GEN-1 is the real deal for dextrous robot manipulation. This model is so good that it is hard to measure how good it is.
Generalist@GeneralistAI
Introducing GEN-1. Our latest milestone in scaling robot learning. We believe it to be the first general-purpose AI model to master simple physical tasks. 99% success rates, 3x faster speeds, adapts in real time to unexpected scenarios, w/ only 1 hour of robot data. More🧵👇
English
Coline Devin retweetet
We ran a live demo @nvidia GTC last week, but the real story is how quickly we got it running.
The system was up and running in days, not weeks.
This is a step toward robots that can be deployed quickly without task-by-task programming.
How we made it happen👇 🧵 (1/6)
English
Coline Devin retweetet
At the booth live at #NVIDIAGTC!
The hockey sticks are out, and the models are rolling.
At Generalist we’re excited to be here as Preferred Model Partner with @Universal_Robot, the world’s #1 cobot manufacturer by volume!
Generalist@GeneralistAI
Happening now at #NVIDIAGTC: Generalist’s GEN-0 model autonomously packing phones on @Universal_Robot arms in our first public demo. To move robotics beyond the lab, systems need to operate in real time on industrial hardware. See the demo below, and stop by booth #1840 👇🤖
English
The best demo is a live demo!
Generalist@GeneralistAI
Happening now at #NVIDIAGTC: Generalist’s GEN-0 model autonomously packing phones on @Universal_Robot arms in our first public demo. To move robotics beyond the lab, systems need to operate in real time on industrial hardware. See the demo below, and stop by booth #1840 👇🤖
English
Coline Devin retweetet
Generalist robots need a generalist evaluator. But how do you test safety without breaking things? 💥
🌎 Introducing our new work from @GoogleDeepMind:
Evaluating Gemini Robotics Policies in a Veo World Simulator
veo-robotics.github.io
🧵👇
English
It was so fun to meet @FryRsquared and show her our robots!
Google DeepMind@GoogleDeepMind
Pre-programmed backflips are fun, but open-ended reasoning is the real challenge for robots. 🤖 @Fryrsquared stepped inside the lab to see how we’re building agents that can understand context and figure things out for themselves – rather than just following a script. Watch our bonus episode ↓ goo.gle/4q1MGuv
English