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Generalist

@GeneralistAI • 24,971 subscribers

Generalist is an AI robotics company building general intelligence for the physical world and making it useful to everyone.

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We've been heads-down building. The robots have gotten pretty good. We'll be sharing a brief update soon.

We've been heads-down building. The robots have gotten pretty good. We'll be sharing a brief update soon.

11,901 görüntüleme

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Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.

Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.

3,395,007 görüntüleme • 24 gün önce

Why create robot intelligence for just one hand, when we could have it learn from many? GEN-1, our latest embodied foundation model, now supports a broad range of end effectors from 5-finger hands, to specialized tools, and everything in between.

Why create robot intelligence for just one hand, when we could have it learn from many? GEN-1, our latest embodied foundation model, now supports a broad range of end effectors from 5-finger hands, to specialized tools, and everything in between.

301,754 görüntüleme • 1 ay önce

GEN-1 plays the 🐚 shell game, trained on just 1 hr of robot data. It also generalizes to unseen objects, like berkay 's car keys. Physical AI models should be capable of benchmark tasks like this one. It's interesting for the all the reasons Rhoda AI calls out -- requires visual memory, and the model must track the cups from the very start, at high frame rates. Interestingly, GEN-1 appears to exhibit a degree of "active perception." It's subtle; the hands can sometimes appear to "follow" the cups, using its own movements to help attend to where it thinks the object should be. Read more about GEN-1 in our blog post in the comments below ↓

GEN-1 plays the 🐚 shell game, trained on just 1 hr of robot data. It also generalizes to unseen objects, like berkay 's car keys. Physical AI models should be capable of benchmark tasks like this one. It's interesting for the all the reasons Rhoda AI calls out -- requires visual memory, and the model must track the cups from the very start, at high frame rates. Interestingly, GEN-1 appears to exhibit a degree of "active perception." It's subtle; the hands can sometimes appear to "follow" the cups, using its own movements to help attend to where it thinks the object should be. Read more about GEN-1 in our blog post in the comments below ↓

862,267 görüntüleme • 4 ay önce

GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal.

GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal.

136,022 görüntüleme • 24 gün önce

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🧵👇

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🧵👇

386,128 görüntüleme • 5 ay önce

We've improved how GEN-1 learns to adapt to new actuators and new robots at the lowest level, with up to 10-20x gains on internal benchmarks. This significantly boosts performance on high-precision tasks like disassembling parts from a NIST board. Read more about GEN-1 in our blog posts in the comments below.

We've improved how GEN-1 learns to adapt to new actuators and new robots at the lowest level, with up to 10-20x gains on internal benchmarks. This significantly boosts performance on high-precision tasks like disassembling parts from a NIST board. Read more about GEN-1 in our blog posts in the comments below.

89,405 görüntüleme • 1 ay önce

Introducing GEN-0, our latest 10B+ foundation model for robots ⏱️ built on Harmonic Reasoning, new architecture that can think & act seamlessly 📈 strong scaling laws: more pretraining & model size = better 🌍 unprecedented corpus of 270,000+ hrs of dexterous data Read more 👇

Introducing GEN-0, our latest 10B+ foundation model for robots ⏱️ built on Harmonic Reasoning, new architecture that can think & act seamlessly 📈 strong scaling laws: more pretraining & model size = better 🌍 unprecedented corpus of 270,000+ hrs of dexterous data Read more 👇

499,759 görüntüleme • 10 ay önce

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.

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.

222,094 görüntüleme • 5 ay önce

We've reduced the time it takes to go from physical prompt → robot behavior. The faster anyone can teach a robot to do something new, the easier it becomes to scale physical work. Read more about GEN-1.5 in our blog post in the comments below.

We've reduced the time it takes to go from physical prompt → robot behavior. The faster anyone can teach a robot to do something new, the easier it becomes to scale physical work. Read more about GEN-1.5 in our blog post in the comments below.

26,056 görüntüleme • 19 gün önce

A simple example of physical prompt steerability: same environment, different prompts, different behaviors. Thanks Jagdeep Bhatia for the suggestion. Read more about GEN-1.5 in our blog post in the comments below.

A simple example of physical prompt steerability: same environment, different prompts, different behaviors. Thanks Jagdeep Bhatia for the suggestion. Read more about GEN-1.5 in our blog post in the comments below.

20,133 görüntüleme • 17 gün önce

Today we're excited to share a glimpse of what we're building at Generalist. As a first step towards our mission of making general-purpose robots a reality, we're pushing the frontiers of what end-to-end AI models can achieve in the real world. Here's a preview of our early results in autonomous general-purpose dexterous capabilities – fast, reactive, smooth, precise, bi-manual coordinated sensorimotor control.

Today we're excited to share a glimpse of what we're building at Generalist. As a first step towards our mission of making general-purpose robots a reality, we're pushing the frontiers of what end-to-end AI models can achieve in the real world. Here's a preview of our early results in autonomous general-purpose dexterous capabilities – fast, reactive, smooth, precise, bi-manual coordinated sensorimotor control.

278,597 görüntüleme • 1 yıl önce

GEN-1 delicately arranges potato chips, and lifts a heavy bag of potatoes — from a gentle touch to a strong grip. Read more about Gen-1 in our blog posts in the comments below ↓

GEN-1 delicately arranges potato chips, and lifts a heavy bag of potatoes — from a gentle touch to a strong grip. Read more about Gen-1 in our blog posts in the comments below ↓

89,008 görüntüleme • 4 ay önce

GEN-1 puts plushies into polybags, in a warehouse outside the lab in New Hampshire.

GEN-1 puts plushies into polybags, in a warehouse outside the lab in New Hampshire.

105,056 görüntüleme • 5 ay önce

GEN-1 cleans white board Read more about GEN-1 in our blog post in the comments below ↓

GEN-1 cleans white board Read more about GEN-1 in our blog post in the comments below ↓

64,168 görüntüleme • 4 ay önce

GEN-1 sorts socks and uses a touchscreen stylus. Done in collaboration with a partner on the Generalist platform. More on this soon.

GEN-1 sorts socks and uses a touchscreen stylus. Done in collaboration with a partner on the Generalist platform. More on this soon.

58,771 görüntüleme • 5 ay önce

What happens when you change the hand mid-task? We tested this by modifying the hands mid-rollout and letting the same model keep running. It perceives the new tool, and finds a new trajectory and contact strategy to complete the task. This works because training on mixed data forces the model to condition its behavior on the hand in front of it. This brings it closer to a general understanding of how shapes and contact surfaces interact with the physical world – and which actuation strategy should follow.

What happens when you change the hand mid-task? We tested this by modifying the hands mid-rollout and letting the same model keep running. It perceives the new tool, and finds a new trajectory and contact strategy to complete the task. This works because training on mixed data forces the model to condition its behavior on the hand in front of it. This brings it closer to a general understanding of how shapes and contact surfaces interact with the physical world – and which actuation strategy should follow.

22,076 görüntüleme • 1 ay önce

GEN-1 plugging in ethernet cables to a handheld socket.

GEN-1 plugging in ethernet cables to a handheld socket.

54,388 görüntüleme • 5 ay önce

At Generalist, we’re working towards a future where robots can do anything. To that end, the robots build now, too. We’ve trained a robot to do one-shot assembly, constructing Legos end-to-end: no custom engineering, just pixels in → Lego copies out.

At Generalist, we’re working towards a future where robots can do anything. To that end, the robots build now, too. We’ve trained a robot to do one-shot assembly, constructing Legos end-to-end: no custom engineering, just pixels in → Lego copies out.

103,398 görüntüleme • 11 ay önce

Gen-1 ties zipties Read more about Gen-1 in our blog posts in the comments below ↓

Gen-1 ties zipties Read more about Gen-1 in our blog posts in the comments below ↓

38,995 görüntüleme • 4 ay önce

Everyday for the past 2 weeks, we've been sharing something new from GEN-1, our latest milestone in scaling robot learning. This has never been done before. Going from ideas to skills in days (or faster) is what physical AI models should deliver. More coming. Stay tuned. Read more about it in our blog post in the comments below ↓

Everyday for the past 2 weeks, we've been sharing something new from GEN-1, our latest milestone in scaling robot learning. This has never been done before. Going from ideas to skills in days (or faster) is what physical AI models should deliver. More coming. Stay tuned. Read more about it in our blog post in the comments below ↓

40,238 görüntüleme • 4 ay önce