Kaival Shah 🤔

Leslie Lamport (Creator of LaTex): "If you think you know something but don't write it down. You only think you know something. It reveals what you haven't said. And that there's steps in there. You may think they're obvious, but you haven't written them down. And that's where errors come in. That's where that one third of the paper's errors come in, because it really makes you honest."

@YueminMao cool

Let your robots hear slips with A-SLIP! 🤖🎧 How can a robot detect in-hand slip and estimate its direction and magnitude without cameras or fragile tactile skins? A-SLIP uses piezoelectric microphones embedded in grippers to hear it. a-slip.github.io 🧵1/7

@Yunsong_Zhou very cool work

🧐 Simulation has long promised robot pretraining, but breaks at the moment of real-world deployment. 🚀 Today, we introduce SIM1: the first real-to-sim-to-real paradigm where the generative world becomes the same one as reality. SIM1 produces simulation data whose execution is directly valid in the physical world, enabling policies trained entirely in simulation to transfer zero-shot, at scale. 📈 This unlocks a new scaling law for robotics: we scale intelligence without scaling real-world data. ✨ Few demonstrations in, real-world policies out. Simulation is no longer a proxy; it is supervision itself. internrobotics.github.io/sim1.github.io/ huggingface.co/papers/2604.08…

@FarzaTV this is incredible

I built this thing called Clicky. It's an AI teacher that lives as a buddy next to your cursor. It can see your screen, talk to you, and even point at stuff, kinda like having a real teacher next to you. I've been using it the past few days to learn Davinci Resolve, 10/10.

@geoffreylitt interesting

People and agents would be better at writing code if you could easily check what value a variable usually has in production:

@toriluoo ayyy

my kellogg professor is teaching why marketing needs an operating system. nobody in this room knows i'm building one.

Northwestern University researchers developed modular robots using AI that can adapt to damage and navigate unpredictable terrain, according to a new study

@junli_r84995 very cool

sharing our new project Smash!🏓 We built the first outdoor humanoid table tennis player with fully onboard perception — no MoCap, no external cameras. check the video for details. paper and code on the way!

@swar_ja cool stuff!

I trained models across MacBooks using Apple's AirDrop protocol. grove is a distributed training library for Apple Silicon. Devices discover each other over AWDL, a direct radio link. If there's a shared WiFi network it upgrades to that for speed, otherwise everything goes over the direct link. No router, no cloud, no setup. grove start