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Robot Utility Models (RUMs) enable basic tasks – door opening, drawer opening, object reorientation, etc. – at ~90% accuracy without ANY finetuning (i.e. zero-shot) in unseen new environments. Fully open source!!! models, data, code & hw. We think this is super exciting, why?👇 1. Unlocks many practical home utility...

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Mahi Shafiullah 🏠🤖

3,074 subscribers

89,535 görüntüleme • 1 yıl önce •via X (Twitter)

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Predicting how the environment changes over time is a key task in robotics, enabling all kinds of downstream tasks. Trace Anything is a very interesting look at how you can train models which predict the trajectory each point will take in the future -- you can use this for robot manipulation, video prediction, and more. Learn more ->
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Predicting how the environment changes over time is a key task in robotics, enabling all kinds of downstream tasks. Trace Anything is a very interesting look at how you can train models which predict the trajectory each point will take in the future -- you can use this for robot manipulation, video prediction, and more. Learn more ->

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How can we more effectively leverage robot data from different embodiments for skill transfer? Excited to share that our new work, RoVi-Aug, has been accepted to Conference on Robot Learning as an oral paper！ WIth RoVi-Aug, you can augment an existing robot dataset into a different robot and different viewpoints. A policy trained on the augmented dataset can zero-shot deploy on the unseen target robot with significantly different camera angles! 🧵👇 🔗 Check out our paper:
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How can we more effectively leverage robot data from different embodiments for skill transfer? Excited to share that our new work, RoVi-Aug, has been accepted to Conference on Robot Learning as an oral paper！ WIth RoVi-Aug, you can augment an existing robot dataset into a different robot and different viewpoints. A policy trained on the augmented dataset can zero-shot deploy on the unseen target robot with significantly different camera angles! 🧵👇 🔗 Check out our paper:

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August came and went in a flash and what a month it was! We opened 15 new stores (including the opening of our first store in Zimbabwe 🇿🇼) and completed 1 revamp. Things are really ramping up as we head into the final stretch of the year, with more new countries and many more store openings still in the pipeline for 2025. 🚀 The momentum is building, and we’re just getting started!

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World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.
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World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.

Brian Roemmele

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Train a TensorFlow object detection model – then deploy it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:
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Train a TensorFlow object detection model – then deploy it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:

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Proud to announce Dobb·E: the next step in home robot system that I was working on for the past 3 years. We have visited 10 homes, learned 100+ tasks, and we are just getting started! And we fully open-sourced it all, hardware, models, and software: 🧵
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Proud to announce Dobb·E: the next step in home robot system that I was working on for the past 3 years. We have visited 10 homes, learned 100+ tasks, and we are just getting started! And we fully open-sourced it all, hardware, models, and software: 🧵

Mahi Shafiullah 🏠🤖

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Opening doors to Headout's new HQ in BLR. A space we imagined as a Museum of the World, designed as an ode to the big, beautiful world around us. We made it with love, and there’s room for many more. We’re hiring across roles. Come build with us.
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Opening doors to Headout's new HQ in BLR. A space we imagined as a Museum of the World, designed as an ode to the big, beautiful world around us. We made it with love, and there’s room for many more. We’re hiring across roles. Come build with us.

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My favorite paper this year: "Video models are zero-shot learners and reasoners" It illustrates that video models show emergent visual reasoning at scale - they can solve vision tasks they weren't trained for. This may be the "GPT moment" for vision. Let's break it down 👇
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My favorite paper this year: "Video models are zero-shot learners and reasoners" It illustrates that video models show emergent visual reasoning at scale - they can solve vision tasks they weren't trained for. This may be the "GPT moment" for vision. Let's break it down 👇

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🤖 Another zero-shot reward model is now in LeRobot: ROBOMETER. A general-purpose, zero-shot video-language reward model from University of South Carolina, UT Dallas, Massachusetts Institute of Technology (MIT), University of Washington, Ai2, and NVIDIA that predicts frame-level task progress. Trained on 1M+ trajectories from 21 robot embodiments, generalizes zero-shot to unseen tasks, scenes, and robots. 2.4–4.5x better downstream success rates across online RL, offline RL, data filtering, failure detection, and data retrieval for IL. Project: Paper:
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🤖 Another zero-shot reward model is now in LeRobot: ROBOMETER. A general-purpose, zero-shot video-language reward model from University of South Carolina, UT Dallas, Massachusetts Institute of Technology (MIT), University of Washington, Ai2, and NVIDIA that predicts frame-level task progress. Trained on 1M+ trajectories from 21 robot embodiments, generalizes zero-shot to unseen tasks, scenes, and robots. 2.4–4.5x better downstream success rates across online RL, offline RL, data filtering, failure detection, and data retrieval for IL. Project: Paper:

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The opening of NODE feels special. A real home for the CryptoPunks and a meaningful step for NFTs as digital art. Less noise, more culture. This is about understanding, preserving, and taking digital art seriously. A new chapter is starting.
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The opening of NODE feels special. A real home for the CryptoPunks and a meaningful step for NFTs as digital art. Less noise, more culture. This is about understanding, preserving, and taking digital art seriously. A new chapter is starting.

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Introducing $SAHARA — the native utility token of Sahara AI. Designed for real-world function, $SAHARA powers a new economic model for AI. One that is collaborative, open, and built to reward real contributors. Utility, distribution, and claim details below 🧵👇
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Introducing $SAHARA — the native utility token of Sahara AI. Designed for real-world function, $SAHARA powers a new economic model for AI. One that is collaborative, open, and built to reward real contributors. Utility, distribution, and claim details below 🧵👇

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Robotics keeps hitting the same wall. Single task RL works, but... it does not scale to hundreds of tasks or new embodiments. This new paper looks like a real step toward fixing that. The team introduces MMBench, a benchmark with 200 tasks across many domains and robots, and Newt, a language conditioned world model trained online across all 200 tasks at once. The simple idea behind Newt: The model learns from demos to get the right priors It trains across many tasks through online interaction It uses language to ground the goal It adapts fast when a new task shows up What stood out to me: ✅ One model trained on 200 tasks at the same time ✅ Language conditioned control for both states and RGB ✅ Better data efficiency than strong baselines ✅ Strong open loop control ✅ Fast adaptation to new tasks and embodiments ✅ Full release of 200 checkpoints, 4000 demos, code, and benchmark This is a good push toward general control instead of one model per task. If you want the full paper: Project page: —- Weekly robotics and AI insights. Subscribe free:

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After 5 months of planning, our first Live2D Jakarta Chapter event was a huge success! We brought an interactive Live2D showcase to the biggest anime con in Indonesia, featuring over 20 finest models created by our local artists and riggers. This showcase also included a custom-made plugin for VTube Studio that adds touch interactivity to Live2D models, allowing visitors to interact with VTuber models in a more engaging way! We hope this demo could open up new potential for Vtubers in IRL events. Special thanks to Live2D Inc. for trusting me to host this event! The showcase attracted many curious visitors and gave us the opportunity to introduce this tech to a wider audience, and we hope we are opening up new opportunities for everyone. Look forward to our next one! (Model: Key Oriesa by karamomo🍑 | Live2D Rigging | Food Illustration)

Ran 🐲 Live2D Animator

163,183 görüntüleme • 21 gün önce

What would it look like to see all ~13,000 proteins inside a single human cell at once? We share ProtiCelli — a generative model that makes this possible. Besides benchmarking, we demonstrate utility in many tasks. Preprint: A thread 🧵👇
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What would it look like to see all ~13,000 proteins inside a single human cell at once? We share ProtiCelli — a generative model that makes this possible. Besides benchmarking, we demonstrate utility in many tasks. Preprint: A thread 🧵👇

Emma Lundberg

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SuperDapp is LIVE! 🤖 The future of AI-powered Web3 interaction starts NOW. A new era of intelligent AI agents, SocialFi, and seamless blockchain integration is here. This is more than just an app—it's a movement. Today we launch our major updates, new modes, dapp improvements, and much more. 🌍 Welcome to the future of web3 utility. Today will be an exciting day of announcements 🔥 #SuperDapp 🧵👇
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SuperDapp is LIVE! 🤖 The future of AI-powered Web3 interaction starts NOW. A new era of intelligent AI agents, SocialFi, and seamless blockchain integration is here. This is more than just an app—it's a movement. Today we launch our major updates, new modes, dapp improvements, and much more. 🌍 Welcome to the future of web3 utility. Today will be an exciting day of announcements 🔥 #SuperDapp 🧵👇

SuperDapp

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CCTV has revealed the production process of a new type of missile for the first time, and it is truly eye-opening. This fully automated, unmanned, intelligent weapon has received a surge in orders and is a highly coveted product for many countries.#China
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CCTV has revealed the production process of a new type of missile for the first time, and it is truly eye-opening. This fully automated, unmanned, intelligent weapon has received a surge in orders and is a highly coveted product for many countries.#China

Johannes Maria

11,598 görüntüleme • 1 yıl önce

I tried the knocking shot with Kling 2.1, and we still have a failure clearly the man is not touching the door at all. Anyone have access to Veo3 please try it and let me know if this works! it seems like a simple shot, but all models failed to do it, let's see if Veo3 can🔥
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I tried the knocking shot with Kling 2.1, and we still have a failure clearly the man is not touching the door at all. Anyone have access to Veo3 please try it and let me know if this works! it seems like a simple shot, but all models failed to do it, let's see if Veo3 can🔥

Amira Zairi

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“I’m here for the future — when everything is onchain, and we move beyond Bitcoin and memecoins into a place where crypto is actually very useful, and it confers fundamental utility to participants. I think that’s going to be exciting — and the time has come. I think it’s this year.” — Vlad Tenev, on Robinhood Chain, an ethereum L2
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“I’m here for the future — when everything is onchain, and we move beyond Bitcoin and memecoins into a place where crypto is actually very useful, and it confers fundamental utility to participants. I think that’s going to be exciting — and the time has come. I think it’s this year.” — Vlad Tenev, on Robinhood Chain, an ethereum L2

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