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“Say a robot drives into a wall. Why did it do that?” Nikolaus West explains why robotics teams need clearer visibility into sensor data, and how Rerun is helping push physical AI from impressive demos to real reliability. Link to the full episode with Lukas Biewald in comments.

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Weights & Biases

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196,608 görüntüleme • 6 ay önce •via X (Twitter)

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LLMs had the internet. Robotics doesn’t, which is why we’re bringing the Scale AI data engine into the physical world. Robotics won’t be solved by blindly collecting 100x more demos. Raw trajectories need structure (intent, subgoals, failures, recoveries, edge cases, quality signals) or you just average mistakes. At Scale Labs, we’re building that data flywheel, mapping the right data to the right capabilities and scaling what works globally !
1:30

LLMs had the internet. Robotics doesn’t, which is why we’re bringing the Scale AI data engine into the physical world. Robotics won’t be solved by blindly collecting 100x more demos. Raw trajectories need structure (intent, subgoals, failures, recoveries, edge cases, quality signals) or you just average mistakes. At Scale Labs, we’re building that data flywheel, mapping the right data to the right capabilities and scaling what works globally !

jade

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As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗
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As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗

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What exactly is an AI agent — a looped LLM? A planning system? A misused buzzword? In the latest episode of AI + a16z, Guido Appenzeller, Yoko, and Matt Bornstein debate how to define agentic behavior, where the architecture diverges from traditional software, and why most agents today are closer to “weekend demos” than AGI. They explore: — Why “agent” is a spectrum, not a category — How pricing, UX, and data access complicate the picture — And what it’ll take to move from weekend demos to real agent products Listen now:
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What exactly is an AI agent — a looped LLM? A planning system? A misused buzzword? In the latest episode of AI + a16z, Guido Appenzeller, Yoko, and Matt Bornstein debate how to define agentic behavior, where the architecture diverges from traditional software, and why most agents today are closer to “weekend demos” than AGI. They explore: — Why “agent” is a spectrum, not a category — How pricing, UX, and data access complicate the picture — And what it’ll take to move from weekend demos to real agent products Listen now:

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From the latest episode with Ivan Poupyrev from Archetype AI The idea is simple but revolutionary: -- using sensor data, similar to how humans observe the physical world through our biological sensors -- to let machines 'talk' to the physical world. In the case of packages, this means not just knowing where it is, but what's happening to it in real-time.
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From the latest episode with Ivan Poupyrev from Archetype AI The idea is simple but revolutionary: -- using sensor data, similar to how humans observe the physical world through our biological sensors -- to let machines 'talk' to the physical world. In the case of packages, this means not just knowing where it is, but what's happening to it in real-time.

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AI is shaking up every industry from Earth to space and beyond. During the AI in Space panel, Mark Mozena from @Planet dives into the ways AI is helping teams make better decisions and understand data. Catch the full replay.
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AI is shaking up every industry from Earth to space and beyond. During the AI in Space panel, Mark Mozena from @Planet dives into the ways AI is helping teams make better decisions and understand data. Catch the full replay.

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Sanctuary AI new touch sensor technology is now integrated into our general purpose robots. Read the full announcement to learn how this benefits general purpose robot performance and our Physical AI: #AI #Humanoid #GeneralPurposeRobot #SanctuaryAI
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Sanctuary AI new touch sensor technology is now integrated into our general purpose robots. Read the full announcement to learn how this benefits general purpose robot performance and our Physical AI: #AI #Humanoid #GeneralPurposeRobot #SanctuaryAI

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.Ilya Sutskever on why OpenAI gave up on robotics: "Progress comes from the combination of compute and data. There was no path to data from robotics. I'd say that now it is possible to create a path forward, but one needs to really commit. You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on. But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them. It's not the same as software at all."
1:57

.Ilya Sutskever on why OpenAI gave up on robotics: "Progress comes from the combination of compute and data. There was no path to data from robotics. I'd say that now it is possible to create a path forward, but one needs to really commit. You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on. But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them. It's not the same as software at all."

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1:37

🚨 UNCANNY VALLEY: “YOUTUBE VIDEOS WON’T TRAIN ROBOTS” Rajat Bhageria explains why learning from YouTube demos fails when it comes to building robots that actually work in the real world. Founder of Chef Robotics, Rajat Bhageria: “My hands can do weird motions a robot physically can’t. There’s a grounding problem, robots have constraints, and most demo data isn’t even from the right perspective. This isn’t LLMs. You can’t just download the internet and expect it to work.” Uncanny Valley with Danish only on 𝕏.

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💡Instead of moving data to AI, why not bring AI to your data? Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, explains how embedding LLMs into databases, and processing and managing multimodal data with platforms, is transforming how enterprises build intelligent apps. It’s a smarter, faster, and more scalable way to unlock real-time insights.
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💡Instead of moving data to AI, why not bring AI to your data? Feifei Li, SVP and President of International Business at Alibaba Cloud Intelligence Group, explains how embedding LLMs into databases, and processing and managing multimodal data with platforms, is transforming how enterprises build intelligent apps. It’s a smarter, faster, and more scalable way to unlock real-time insights.

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Real → Sim → Robot — fast. With Gaussian splats, GRID brings physical assets into simulation tools like AirGen and NVIDIA Isaac Sim, enabling AI skills to be tested in sim and deployed to real robots in minutes. #Robotics #PhysicalAI #Simulation
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Real → Sim → Robot — fast. With Gaussian splats, GRID brings physical assets into simulation tools like AirGen and NVIDIA Isaac Sim, enabling AI skills to be tested in sim and deployed to real robots in minutes. #Robotics #PhysicalAI #Simulation

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🚨 UNCANNY VALLEY: WHY SPECIALIZED ROBOTS SCALE FASTER Rajat Bhageria explains why focus, not general purpose, is driving real impact in robotics today. Founder of Chef Robotics, Rajat Bhageria: “You don't need Teslas to make food. And the robot that makes your food doesn't need to drive your Tesla. Our robots assemble food sixteen hours a day, every day…and that's all they do.” Uncanny Valley with Danish – only on 𝕏.
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🚨 UNCANNY VALLEY: WHY SPECIALIZED ROBOTS SCALE FASTER Rajat Bhageria explains why focus, not general purpose, is driving real impact in robotics today. Founder of Chef Robotics, Rajat Bhageria: “You don't need Teslas to make food. And the robot that makes your food doesn't need to drive your Tesla. Our robots assemble food sixteen hours a day, every day…and that's all they do.” Uncanny Valley with Danish – only on 𝕏.

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In a new interview, our CEO Gabriel Hattar shares how daGama is evolving from a discovery app into real-world digital infrastructure, and why Proof of Presence is one of the most important steps in our history. "This is not just another feature. This phase is about transforming the daGama from a platform that shows trust into a platform that can prove trust in the physical world." – Gabriel Hattar Watch the full interview to understand what we’re building, why it matters, and how you’re part of it 👇

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Push a human off balance and they react instantly. Now try building that into a robot… During a recent visit to Hangzhou, hosted by the Zhejiang Provincial Government, we saw a live balance test from Unitree robotics G1 robot. This is where control, perception, and hardware have to move as one in real time.

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Qwen-Robot Suite，enable AI from chatbot to physical action in the real world. More demos, please visit our blog:
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Qwen-Robot Suite，enable AI from chatbot to physical action in the real world. More demos, please visit our blog:

Qwen

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From airplane wings to Dyson spheres, Paul Eremenko explains why physical engineering AI has lagged behind coding AI, and how @p_1_ai's approach to synthetic training data could change everything.
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From airplane wings to Dyson spheres, Paul Eremenko explains why physical engineering AI has lagged behind coding AI, and how @p_1_ai's approach to synthetic training data could change everything.

Sonya Huang 🐥

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🤖WATCH: A new AI-powered factory robot is showing off advanced motor skills by packing orders with human-like precision. Physical AI is moving from demos to real warehouse work.
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🤖WATCH: A new AI-powered factory robot is showing off advanced motor skills by packing orders with human-like precision. Physical AI is moving from demos to real warehouse work.

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Very cool breakthrough by our physical AI and robotics teams-- Vulcan is the first robot that combines sight and touch, and can feel its way through cluttered spaces the way humans do. Vulcan is helping make work safer by handling ergonomically challenging tasks, while creating opportunities for our teammates to grow their skills in robotics maintenance.
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Very cool breakthrough by our physical AI and robotics teams-- Vulcan is the first robot that combines sight and touch, and can feel its way through cluttered spaces the way humans do. Vulcan is helping make work safer by handling ergonomically challenging tasks, while creating opportunities for our teammates to grow their skills in robotics maintenance.

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🎤 Overheard at #CES2026: Physical AI is moving intelligence from the cloud into the real world, and AMD is powering that shift with a full portfolio that enables robots to sense, decide, and act in real time across industries like healthcare, agriculture, and manufacturing.
1:26

🎤 Overheard at #CES2026: Physical AI is moving intelligence from the cloud into the real world, and AMD is powering that shift with a full portfolio that enables robots to sense, decide, and act in real time across industries like healthcare, agriculture, and manufacturing.

AMD

19,475 görüntüleme • 5 ay önce

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‼️WHAT JUST HAPPENED?! AI HAS A TRADES PROBLEM The companies building the future do not just need chips, code, and capital. They need electricians, welders, HVAC techs, and plumbers. In this episode, Patrick Ney explains how fifty years of steering young people away from the trades created a shortage that is now slowing everything from data centers to energy infrastructure. 0:40 - Why BlackRock just bet on the skilled trades 4:55 - How the trades shortage was built over decades 4:45 - Why AI is suddenly running into a blue-collar problem 8:30 - AI still needs people to build the real world 10:56 - What the money looks like in the trades versus college 13:10 - Why this shortage is global, not just American 16:07 - The stigma that still pushes young people away from the trades

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