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/pro…

Thanks for having me on @johncoogan @jordihays @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."

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.

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/announcing…

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

Such a great task choice @kylieyying ! Teaching robots to be confident in their movements and promote fair allocation of limited resources 😎

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!

Gen-1 pours Kool-Aid Read more about GEN-1 in our blog post in the comments below ↓

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…

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 ↓

Robot reaches deep for screws 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 ↓

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 🤖

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

よくあるVLAは視覚の記憶が弱い(もしくは無い)のでこういうタスクは難しいのだけどGEN-1はできる。動かしてる最中も取りに行くそぶりを見せるのが一種の記憶(アクションとしての記憶)みたいなものを獲得していそう。 という面白い話。動き的にも模倣だけじゃない、RLが強いのかな。非常に楽しそう。

GEN-1 plays the 🐚 shell game, trained on just 1 hr of robot data. It also generalizes to unseen objects, like @BerkayAntmen 's car keys. Physical AI models should be capable of benchmark tasks like this one. It's interesting for the all the reasons @RhodaAI 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 ↓

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 ↓

SCIENCE RULES! Bill Nye sparked it. @josephfkrause, @CarinaLHong, and @peteflorence, moderated by @Farshchi, take it further. They'll share where AI in science converges and diverges in approach between three of the hottest AI startups. Only at UNLOCK.

GEN-1 plays with fidget toy. Other tasks GEN-1 can do: youtube.com/playlist?list=PL… Read more about GEN-1, our latest foundation model for the physical world: generalistai.com/blog/apr-02…