Aadarsh R @aadarsh_r_
Junior Undergrad at Indian Institute of Technology, Madras. Interested in AI x Robotics, robotic foundation models. Building intelligent robots @CFI. aadarshram.github.io Joined September 2023-
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I didn't really like watching sports so much. Now I do :)
I didn't really like watching sports so much. Now I do :)
🤖✨ What if models that take action in the physical world could think through your instructions? Meet MolmoAct, our new fully open Action Reasoning Model (ARM) that does just that. 🧵
Vibe Minecraft: a multi-player, self-consistent, real-time world model that allows building anything and conjuring any objects. The function of tools and even the game mechanics itself can be programmed by natural language, such as "chrono-pickaxe: revert any block to a previous…
🧰@contextfort automatically finds missing dimensions and overlay mismatches across your architectural & structural drawings, and then drafts Requests For Information (RFIs)— saving weeks per project. Congrats on the launch, @ashwinram2002 & @hvag976! ycombinator.com/launches/O5c-c…
An airplane is not a bird, and though a bird could never dream of the speed and altitude of an airplanes flight, there's plenty they can do that planes can't. Likewise, human intelligence may well have comparative advantage even in an age of superintelligence.
Here's a F.02 in my home, using Helix to do my laundry
Who would've thought a night lamp will turn into a manipulator!
Who would've thought a night lamp will turn into a manipulator!
A year ago Ross Girschik (the object detection GOAT) gave a talk on "real tasks" (the end goal of an ML system) vs "fake tasks" (the intermediate tasks we created to achieve the real tasks). Most vision tasks, like classification and detection, are fake. (1/5)
A year ago Ross Girschik (the object detection GOAT) gave a talk on "real tasks" (the end goal of an ML system) vs "fake tasks" (the intermediate tasks we created to achieve the real tasks). Most vision tasks, like classification and detection, are fake. (1/5) https://t.co/VTS3oSjrfn
🤖@VerneRobotics builds AI software for robot arms to learn new skills in hours (their AI model is SOTA), making it easy for any company to adopt automation. Congrats on the launch, @neil_nie_ and @nolitadrip! ycombinator.com/launches/O3T-v…
🚨 The era of infinite internet data is ending, So we ask: 👉 What’s the right generative modelling objective when data—not compute—is the bottleneck? TL;DR: ▶️Compute-constrained? Train Autoregressive models ▶️Data-constrained? Train Diffusion models Get ready for 🤿 1/n
We're running out of sci-fi movies from which to build startups
I really recommend reading Jonathan's thoughts on "why humanoids?" Especially if you are a humanoid robot skeptic. One thing that strikes me is that while we don't need to be LIMITED by the human form factor, humans have two arms and two legs for a reason! It's a good body type…
I really recommend reading Jonathan's thoughts on "why humanoids?" Especially if you are a humanoid robot skeptic. One thing that strikes me is that while we don't need to be LIMITED by the human form factor, humans have two arms and two legs for a reason! It's a good body type… https://t.co/G17mrQhbw9
Sporks in AI: hybrid systems that mix learning with hand-engineered hacks: surrogate data, constraints, architectures with built-in intuitions. They aim for the best of both worlds, but end up bottlenecked by human design. The Bitter Lesson still wins.
Sporks in AI: hybrid systems that mix learning with hand-engineered hacks: surrogate data, constraints, architectures with built-in intuitions. They aim for the best of both worlds, but end up bottlenecked by human design. The Bitter Lesson still wins.
My bar for AGI is far simpler: an AI cooking a nice dinner at anyone’s house for any cuisine. The Physical Turing Test is very likely harder than the Nobel Prize. Moravec’s paradox will continue to haunt us, looming larger and darker, for the decade to come.
My bar for AGI is far simpler: an AI cooking a nice dinner at anyone’s house for any cuisine. The Physical Turing Test is very likely harder than the Nobel Prize. Moravec’s paradox will continue to haunt us, looming larger and darker, for the decade to come.
Want robot imitation learning to generalize to new tasks? Blindfold your human demonstrator! Best robotics paper at EXAIT Workshop #ICML2025 openreview.net/forum?id=zqfT2… Wait, why does this make sense? Read below!
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ONE LOVE VEGAN ❤️... @one1lovegan
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Kat Scott 🐀 @kscottz
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Olivier Duchenne @inventorOli
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260 Followers 523 Following PRIOR @allen_ai AI and Robotics @RAIVNLab @uwcse Robot Learning Masters @ UW w/ R. Krishna, D. Fox
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Flywheel (YC S25) @flywheel_inc
58 Followers 2 Following Enable remote teleoperation in excavators to increase safety and productivity
Abhishek Gupta @abhishekunique7
9K Followers 874 Following Assistant Professor at University of Washington. I like robots, and reinforcement learning. Previously: post-doc at MIT, PhD at Berkeley
Jannik Grothusen @JannikGrothusen
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The Robot Learning Co... @RobotLearningCo
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519 Followers 4 Following Train in Hours and Automate Today Book a Demo → https://t.co/ZNHRGutDzX
Lerrel Pinto @LerrelPinto
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Abhinav Das @Abhindas1
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