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Pete Florence
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Pete Florence
@peteflorence
Co-Founder & CEO @GeneralistAI
San Francisco, CA Katılım Mayıs 2012
379 Takip Edilen7.4K Takipçiler
Pete Florence retweetledi
Most robot demos are scripted.
Generalist's GEN-1 is not.
> GEN-1 was doing a task
> Mid-task, an extra object was thrown into the bin
> GEN-1 quickly adapted to the new environment
> Still completed the task smoothly
This is the difference between a scripted policy (seen in viral launch videos) and a real foundation model.
GEN-1 was trained on 500,000 hours of proprietary, real-world dexterous manipulation data.
It has NEVER seen that exact scenario before.
This was the coolest demo at @AutomateShow
@GeneralistAI @FlexivRobotics
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Pete Florence retweetledi
These are the kinds of tasks that felt impossible to automate just a few years ago. and here they are showing it live
Lukas Ziegler@lukas_m_ziegler
That's one of the coolest robotics demos! 😮💨 @GeneralistAI showed GEN-1 handling box folding and screw packing during @AutomateShow. The boxes are cardboard with real variability: creasing, deformation, different configurations. GEN-1 retries when things go wrong. It adapts mid-task. This is a jump from GEN-0, shown 3 months ago during GTC. GEN-0 handled rigid, predictable boxes. GEN-1 handles deformable ones with chaotic behavior. The scaling is straightforward. GEN-1 trained on 500,000 hours of proprietary, real-world dexterous manipulation data. Scaling laws are working. More high-quality real-world data leads to better physics understanding, better retry behavior, better generalization. And the time to get a working demo is shrinking drastically. They're not even at scale yet. They're just starting to see what happens when you pre-train on massive amounts of actual robot data. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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Pete Florence retweetledi
@tbpn with the breaking news. Pre train on highly dexterous Coachella data for the best results!
Entertaining interview (as always) about @GeneralistAI by @peteflorence
TBPN@tbpn
Generalist AI CEO @peteflorence says industrial robots are likely to scale much faster than consumer robots over the next few years. "We think the industrial applications [for robots] are likely to be the ones that really start to ramp even more quickly than consumer or home applications." "Of course, there'll be like more and more robots in people's homes. But in terms of these things really starting to scale, we do think industrial is more likely to take off."
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Pete Florence retweetledi
Generalist is hiring our first product designer! Come help me build the Generalist design culture, and help shape the future of robotics! generalistai.com/careers/produc…
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TBPN@tbpn
Generalist CEO @peteflorence says robotics models are in a transition period similar to the step change between GPT-2 and GPT-3. They're "starting to cross over into levels of performance where these things are commercially viable for a number of different applications." "We think this is a crossover point where we have a general model starting to be able to hit levels of reliability, speed, and improvisational intelligence where we can start to get these things out there." "Very much like — you take a GPT-2-level model, you scale it to a GPT-3-level model, and certain types of commercial applications start to become viable."
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Pete Florence retweetledi
Generalist CEO @peteflorence says robotics models are in a transition period similar to the step change between GPT-2 and GPT-3.
They're "starting to cross over into levels of performance where these things are commercially viable for a number of different applications."
"We think this is a crossover point where we have a general model starting to be able to hit levels of reliability, speed, and improvisational intelligence where we can start to get these things out there."
"Very much like — you take a GPT-2-level model, you scale it to a GPT-3-level model, and certain types of commercial applications start to become viable."
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Pete Florence retweetledi
Happy Monday. On today's show:
- @Will4Planet (Planet)
- @Dambisamoyo (U.K. House of Lords)
- @DrSamuelBHume (Stematic Labs)
- @Dkirtley (Helion)
- @peteflorence (Generalist AI)
- @marvinvonhagen (Interaction)
- @jordanbramble (Antares)
See you on the stream.
TBPN@tbpn
WWDC, Jobs Up Stocks Down, VC Horror Stories, Cars and Planes x.com/i/broadcasts/1…
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Pete Florence retweetledi
Robotics is going to get its Claude Code moment long before its ChatGPT moment.
Everyone keeps waiting on the big general-purpose humanoid demo, the one that's supposed to make the whole thing click. But that's not how LLMs broke through. Coding got there first. It was narrow, hard, and mostly ignored. But it was the first place models got good enough to pay for, and that usage and data loop compounded into everything people point to now.
Robotics has the same kind of wedge in front of it: dexterity. The precise manipulation that real work is made of, like plugging a cable into a socket, kitting, repackaging and assembly. It's the hardest unsolved problem in the field, and the first thing that actually turns into revenue.
Whoever cracks that owns most of what comes after.
Which is why we backed @GeneralistAI's $400M round.
More here: 8vc.com/resources/anno…
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It takes a village, over half a billion in total funding, a lot of compute, and an incredible team to build general intelligence for the physical world. Join us: generalistai.com/careers
Generalist@GeneralistAI
We've raised $400M in new funding. This capital goes toward one mission: building general intelligence for the physical world and making it useful to everyone.
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Pete Florence retweetledi
Such a great task choice @kylieyying ! Teaching robots to be confident in their movements and promote fair allocation of limited resources 😎
Kylie Ying@kylieyying
In my first week at @GeneralistAI, I trained a robot to pour liquids using GEN-1 🤖💧 I wanted to challenge the robot with a non-rigid manipulation task, so liquid felt like the perfect choice. The task involved: - unscrewing the bottle cap - pouring liquid into espresso glasses - rebalancing uneven pours Best of all, the robot was able to complete the task fully autonomously 3 times in a row (out of 3)! Pour-fect 😉 Excited for the journey ahead and grateful to be building alongside such an incredible team!
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Pete Florence retweetledi
In my first week at @GeneralistAI, I trained a robot to pour liquids using GEN-1 🤖💧
I wanted to challenge the robot with a non-rigid manipulation task, so liquid felt like the perfect choice. The task involved:
- unscrewing the bottle cap
- pouring liquid into espresso glasses
- rebalancing uneven pours
Best of all, the robot was able to complete the task fully autonomously 3 times in a row (out of 3)! Pour-fect 😉
Excited for the journey ahead and grateful to be building alongside such an incredible team!
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Pete Florence retweetledi
Gen-1 pours Kool-Aid
Read more about GEN-1 in our blog post in the comments below ↓
Kylie Ying@kylieyying
In my first week at @GeneralistAI, I trained a robot to pour liquids using GEN-1 🤖💧 I wanted to challenge the robot with a non-rigid manipulation task, so liquid felt like the perfect choice. The task involved: - unscrewing the bottle cap - pouring liquid into espresso glasses - rebalancing uneven pours Best of all, the robot was able to complete the task fully autonomously 3 times in a row (out of 3)! Pour-fect 😉 Excited for the journey ahead and grateful to be building alongside such an incredible team!
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Pete Florence retweetledi
Synphony deploys robots to pick strawberries.
It's a $3B market in California alone, where labor is 60% of cost and the workforce is shrinking fast.
Robots just hit the crossover point with field labor, and strawberries are the wedge — berries are a $15B market, and the same deployment layer extends everywhere else.
Congrats on the launch, @im_sean_wu and @fujimotosaichi!
ycombinator.com/launches/QSc-s…
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Pete Florence retweetledi
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 ↓
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Pete Florence retweetledi
Robot reaches deep for screws
Read more about Gen-1 in our blog posts in the comments below ↓
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Pete Florence retweetledi
Gen-1 ties zipties
Read more about Gen-1 in our blog posts in the comments below ↓
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Pete Florence retweetledi
Today marks the end of my first full week @GeneralistAI
Last Monday, I was given a challenge: use our GEN-1 model to teach a robot a task of my choosing, using the same no-code platform our customers use.
I picked the ball-and-vase magic trick. It was one of my favorites as a kid, and it felt like the right mix of fun and surprisingly hard.
A few days later, GEN-1 pulled it off. I left Friday having watched the robot nail it 14 times in a row. What’s wild is that even 4 months ago, if you told me you could go from idea to on-robot skill in a couple of days, I probably wouldn’t have believed you.
Really excited to be building with an incredible team. Can’t wait to see what week two brings 🤖
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@peteflorence I need a good vla to act as intermediary between people and the robot
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the wrist cam keeps falling off
Lucas@quantbagel
growth hack: let anyone control the robots in your office: tryreflex.ai
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Building robots in the wild is fun and crazy. Lots of things happen that have nothing to do with software or ML. The day before a recent demo, a hydraulic line for the bucket on one of our machines. In that state, you can do serious damage to the machine, and of course it stalls operations. No backup except our incredible ops team who dropped everything and got in action turning wrenches. We sourced a new line, got it fitted, and had the machine running again before morning. Nothing like a midnight wrench session to remind you this isn't a simulation.
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