Corey Lynch
@coreylynch
Director of AI at @figure_robot, building Helix 🧬
1.2K Following 17.1K Followers
Watch 4 hours straight of zero-shot Helix 2.5 behavior in 30 homes.
Massive pretraining is really starting to feel different.
We're committed to $3.5B of compute for our next version of Helix, and Index is growing every day.
It's time to scale up.
See the full Helix 2.5 report here:
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Introducing Helix 2.5
Helix 2.5 can zero-shot three full-body behaviors across 30 real homes.
No training data whatsoever collected in any home.
The robot just had to figure it out.
See you tomorrow
We’ve had an AI breakthrough at Figure and will be showcasing this tomorrow
Figure is scaling up data in a big way. Last week we hit 69,900 weekly active users
Users are uploading 35 minutes of data every second across the world
Putting an intelligent, general purpose robot in every home will require massive scale in both data and compute.
Today, Figure announced a $3.5 billion deal to scale Helix 🧬 to up to 100,000 Vera Rubin GPUs.
There’s never been a better time to join Figure.
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Today, Figure is partnering with Nscale to deploy up to 100,000 GPUs on the NVIDIA Vera Rubin Platform
We're committing $3.5 billion initially, with plans to scale beyond $6 billion
To ship a robot into every home, we need a massive amount of compute
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We're now over 43,000 weekly active users collecting data to train Helix, our AI model for F.03 robots
This data collection project, Index, is our answer to the data problem: the largest useful robot training dataset in the world
Extrapolate out, and this is the pretraining needed for large scale robot generalization
The effort started by purchasing data from vendors but this data was scarce and really poor quality - there was simply no way to make this work correctly at scale. So we did it ourselves. It was quite a massive effort that has now resulted in a Figure-owned data pipeline that is unmatched
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We loved Figure 02, it was a workhorse. We're out of room at HQ. It has to go
It deserves a proper sendoff. Any ideas?
We just crossed a full week of non-stop autonomous work with Helix-02.
24/7 operation, >200k packages handled with a pixels-to-actions neural network.
Entering Day 8 of the livestream: 167 consecutive hours and 209,000 packages sorted autonomously
We just crossed 80h straight of fully autonomous work.
Helix-02 handling >100k packages live.
We're now on Day 4 of nonstop autonomous operations with F.03 humanoid robots running 24/7 until failure
We're on Day 3 of neural network-driven work
We're live for Day 3! Watch our humanoid robots running 24/7 with full autonomy. We will be running until robot failure
