Gemini Robotics 2.5 is here. 🤖 Our latest physical AI is able to learn hundreds of everyday skills - from folding laundry and serving pastries to autonomously sorting car parts on the factory floor. Here’s a snapshot of its capabilities 🧵

Nov 10, 2026 · 3:00 PM UTC

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Gemini 4 Argon helped build Gemini Robotics 2.5, speeding up months of training. It creates virtual practice spaces from a single camera view, and watches replays of its own mistakes to fix its technique, driving stronger performance on the real robot.
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The result is a significant advancement in both task breadth and dexterity - approaching human-level finesse. 🔹 Tying a bow tests manipulating deformable objects 🔹 Pipetting liquids requires handling delicate items 🔹 Serving food with tongs needs advanced tool use
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In a proof of concept with @Apptronik and @MercedesBenz Gemini Robotic 2.5 helped the Apollo 2 robot pick and organize car parts for assembly with 96% accuracy.
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As robots move into more real-world spaces, they need greater safety measures. We’ve built in new ways for them to spot hazards, steer away from humans, and test against jailbreaks. FInd out more about Gemini Robotics 2.5 → goo.gle/4zBBUA6
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GEMINI 4 CARBON IS HERE!!!! Oh wait, never mind, that's Gemini Robotics 2.5 😂 Carbon has to wait a few more hours
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LOL @ylecun FUCKED 😂😂😂 where is JEPA? hahaha Loser!
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folding laundry is easy. folding it the way my mom wants is AGI
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96% is honestly insane
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Folding laundry is the one that'd sell me on a home robot, I reckon. Curious how it stacks up against Optimus once they're both out of the lab.
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You can be happy when you realize laundry doesn't actually need to be folded.
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the factory demo is the real story. factories will pay for this years before anyone's home does
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Folding laundry and working at Mercedes. Even the robots need two jobs.
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Can't help but wonder how big the improvement potential also is on the objects' side -> small tweaks that make objects much easier to recognize and handle by robots, whilst remaining as relevant/convenient for humans.
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Fully functional anti-organic anti-matter humanoid requires dexterity, yes!!
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Can it fold laundry that is already a mess or only neat piles
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on a live production line every miss holds up a real car, so you learn fast what the last few percent actually is. that's data you can't buy, and the customer is paying for the work while the robot learns it. same idea behind Tyler on paid tile jobs xitter.twitterapi.xyz/geoburke/status/211339…
$8M+ in robot deployments booked since August. today: $3.55M, 3 years with Foley Tile of Tucson. right after $4M with Flooring Concepts of NJ. name another robotics company our size with that many real deployments. I'll wait proud to build this with our CEO @shamoons. construction needs this 🧱🤖
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this is wild. look how smooth and precise each and every movement is
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folding laundry is the real AGI test
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Folding laundry is nice. I'll be impressed when it can clean out a chicken coop in January.
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folding laundry and sorting car parts in the same sentence is doing a lot of work
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Folding laundry and tying bows are deceptively hard. Deformable objects have been one of robotics' toughest problems for years. I'd love to see how it handles the long tail: the cases it gets wrong, and how quickly it recovers.
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Nice work let’s make it move at human speed now
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Yann LeCun must be SHIVERING right now 😭
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folding laundry is the real benchmark. when can i rent one for sunday afternoons
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Folding the fitted sheet is the final boss.
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sorting car parts is impressive but every household is going to judge this thing by one test: the fitted sheet
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Were any of these done in homes the robot had never seen before? A strange kitchen is what I'd want to see before getting excited.
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If it can fold my laundry I'll believe the car parts.
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A robot that folds laundry is impressive, Google. Lmk when it can match socks, the real intelligence test 🧦
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Sorting car parts autonomously is the one I would watch, since factory lighting and reflective metal are rougher on vision than a laundry basket.
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Folding the laundry includes putting it away, right?
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