Congratulations to the Start Up of the Year, Electric Sheep! Live from the RBR50 Gala here at #RSE in Boston!

imo. totally worth it. We spend 100x more as a society on trivial incremental innovations. solving for unlimited intelligence, energy and labor - can end human suffering and poverty.

Simpler robots -> Profitable Data flywheels -> Complex robots After all the fun verdie robot videos - here's something more different ... the real world complexity of full-stack robotics ... as we deploy and scale. youtube.com/watch?v=mpQvaS…

Electric Sheep in NALP blog.landscapeprofessionals.org/exploring-the-… Electric Sheep

Mowed grass landscapes are so bland. Perennial Gardens of Piet Oudolf

Really cool task our AI agent is learning. Targeted weed spraying is a great application for robots. We can drastically reduce the amount of herbicide used in a parks and community spaces!

Here's an application for our ES-1 world model that i'm really passionate about - targeted weed treatment. Today, outdoor service companies takes a "spray and pray" approach to most kind of outdoor chemical application - this results in an indiscriminate use of harmful

Verdie is e/acc.

Legs or wheels…. Why not both? This is a good example of where machines can move past biology into something. Legs are adaptable to rough terrains but inefficient over long distances & wheels are the opposite. Combine & get the best of both.

Why Autonomous Robots Could be Mowing Your Lawn Soon | Electric Sheep youtu.be/gDA-bruQr9s?si… via YouTube Electric Sheep

.Electric Sheep has the cutest robot, and it isn't particularly close look at him. he's so happy.

🎙️ Michael Laskey will detail how Electric Sheep leverages sim2real techniques to train models that achieve surprisingly robust simulation transfer across thousands of real yards. Get your tickets for #Actuate2024 today 👉 buff.ly/3Rnfteb and come see Michael live.

at Electric Sheep we’re building animal minds that perform real world tasks robustly and at scale.

RLC is thankful for all our sponsors including Amazon, Sony AI, Google DeepMind, Google AI, Electric Sheep, Boston Dynamics, and Valence Labs. We had an amazing line up of industry lightening talks!

Because of the lack of real world data feedback loops - the chatgpt moment for robotics isnt going to happen in in the lab. We need to build deployment engines at the scale of a Tesla - bootstrapped by sim-trained models. Hear our CTO Michael Laskey talk about how we are

Why is self-supervision in vision still not working? 🤔 When pretraining a transformer on TEXT-only data by predicting the next tokens, we see clear improvement trends as we scale the model, data, and computing. But after trying to pretrain a transformer on IMAGES-only data

question for the embodied ai community: to me - safety and accuracy seem to point to hyper specialized robots as the answer. even if humanoids and a generalizable RFM gets you 80pc of the way there fairly quickly for demos- it’s going to take forever to climb performance

Ants making a smart maneuver