Amy N

enabling space for people and robots @dreamlabs_ai

[Dream Labs @dreamlabs_ai]

Less than 24 hours since launch, Dream-1 has controlled 31 robot types it’s never seen, across 53 countries, over 372k inference calls and counting.

Right now, it’s controlling 137 robots live.

The age of the robotics API is here.

[yishan @tspy]

机器人的「ChatGPT」时刻来了！！！

前英伟达 GEAR 团队出来创业的 Dream Labs

刚才正式发布了 Dream-1 模型

不用你的机器人数据，不用微调，不用懂机器学习。只要是双臂加平行夹爪的机器人，接上就能零样本控制。

跨机器人实现原理：

· 主要是靠视频推测机器人下一步怎么动

· 输出主要是夹爪的位置和开合，，再交给机器人自己的逆运动学去计算，所以不同的机器人能共用一套动作

· 摄像头要有三个，头部一个，左右手腕各一个

[Alec @itsalecalec]

Lets play! https://t.co/25BIAVTOy4 Prompt: Remove the cap from the highlighter.

[XDOF @xdofai]

Congrats to @dreamlabs_ai on their launch of Dream-1!
We evaluated an early preview of the model on our LLM focused benchmark. Despite this, Dream-1 performed well at significantly faster execution speeds!

[Scott Reed @scott_e_reed]

Glad to be out of stealth and share what we've been working on: the first public robot API that makes it easy to control your robot arms with a state of the art world action model.

[Yunhao Ge @GeYunhao]

Today, Dream Labs is officially out of stealth! 🚀

What an incredible journey these past six months have been.

I’ve always believed in two things: scaling and generalization. That belief led us to introduce World Action Models (WAMs), which learn from videos of the world and use that understanding to act. With enough scale, the right architecture, and the right data, I believe we can build a general-purpose robot brain that works across different robots, tasks, and environments.

Yet despite incredible progress in robotics, most breakthroughs have remained in research labs, out of reach for the broader public.

Six months ago, @jang_yoel , @scott_e_reed , @youliangtan , and I co-founded Dream Labs with a simple dream: What if anyone could give their robot a general-purpose brain, just through an API call?

Today, we’re taking that first step. Dream-1 is now live for everyone

Dream-1 controls bimanual robots with parallel grippers it has never seen before, zero-shot, on unseen tasks in unseen environments. But what excites me most isn’t just what Dream-1 can do today. It’s what we might discover together.

With our public robot brain API, we want to put general-purpose robot intelligence into everyone’s hands. Try it on new robots, tasks, and environments we’ve never imagined. We want to empower everyone to discover their own “wow” moments with robots and explore what’s truly possible.

ChatGPT wasn’t perfect when it first launched, but it opened up AI to the world. I hope today marks a similar beginning for robotics.

Dream-1 is still a research beta. It will make mistakes, and there’s a long way to go. But someone has to take the first step.

None of this would have been possible without our amazing team. I’m incredibly proud of what we’ve accomplished in just six months and grateful to be building alongside such talented people. ❤️

And we’re just getting started. If you share our dream, come build the future of robotics with us! 🚀

Everyday capabilities for everyday robots @dreamlabs_ai

[Robocurve PBC @robocurve]

Dream-1 by Dream Labs (@dreamlabs_ai) achieves SOTA in robotics, the first to score above 50% on RoboDojo-RC Tier 1. It beats all frontier LLMs.

[Robocurve PBC @robocurve]

Dream-1 by @dreamlabs_ai beats every LLM in robotics while being cheaper than all of them. Dream-1 scores 1.2x higher than Gemini 4 Argon while being 16x cheaper.

[Amy N @amysdreaming]

@Ryan_Resolution A pleasure working with @makermodsai 🦾!!

[youliang @youliangtan]

I still remember watching the early RTX "api": one model controlling different robots, in different labs. It felt like a glimpse of what robotics could become. Even three years later, getting a robot foundation model to work well on your own robot still often means collecting data and fine-tuning. Generalizing across tasks and robots remains one of the hardest problems in robot learning. 🤖🤖

Six months ago, @jang_yoel , @scott_e_reed , @GeYunhao , and I co-founded Dream Labs to work on that problem. Today, we’re coming out of stealth with Dream-1 and a public API.

The idea is simple: you should be able to try a model on your robot with an API call. Dream-1 controls bimanual robots with parallel grippers, performing tasks it wasn’t trained on.

It’s a research beta. It makes mistakes, and things will break. But you can try it today, see where it works, and tell us where it falls short.

This might be a ChatGPT 3 moment for robotics, when people can discover for themselves what these models can do. Opening Dream-1 to people beyond a handful of robotics labs is our step in that direction.

We’re now a team of 12. I’m proud of the people we’ve brought together and what we’ve built in six months.
Robotics within reach. @dreamlabs_ai ☁️

[Dream Labs @dreamlabs_ai]

We’re a team of 12 researchers and engineers.

We’ve raised a $90M seed led by @BCapitalGroup, with participation from @KindredVentures, https://t.co/HuKqvsfUjw, @Unusual_VC, @svangel @Wing_VC @ScribbleVC @adrianaoun, and angels including @gharik @jhong @Thom_Wolf @stephenbalaban @davey_burke, among others. Thank you to everyone who backed us early.

[Dream Labs @dreamlabs_ai]

Today, Dream Labs is coming out of stealth with Dream-1, a robot foundation model that controls bimanual robots it has never seen, on tasks it was never shown, in places it has never been, from $3/hour.

Dream API is live for everyone, today. 🧵

[Ryan Chan @Ryan_Resolution]

@dreamlabs_ai Our @makermodsai Maker Arm Spotted

[Joel Jang @jang_yoel]

Excited to share what we have been up to

[Amy N @amysdreaming]

Can I make my dreams come true here?

[Dream Labs @dreamlabs_ai]

October 19

[Dream Labs @dreamlabs_ai]

October 19

[Amy N @amysdreaming]

First tweet ever! Hello Robotics Community 👋🏼

[Dyna Robotics @DynaRobotics]

After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.

Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network.

This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started.

It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface.

Read the full blog post: https://t.co/8QVEoQuzBY