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General Trajectory (General Trajectory (YC W25)) is training reasoning models for robotics to bring AI into the physical world. Their first model automates real-world work like mixed-SKU palletization, picking, sorting & packing. Congrats on the launch Joshua!

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99,581 görüntüleme • 1 yıl önce •via X (Twitter)

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AI Capital1 yıl önce

@gentrajectory General Trajectory is bringing AI into the physical world with reasoning models that automate real-world tasks like palletization and packing #AI

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Yang1 yıl önce

Want to learn how practical AI skills and automations for your business and work? Check out our 50+ step-by-step video tutorials 100% FREE 20+ hours of Ai and Automation goodness absolutely free 🥳

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noah fichter1 yıl önce

@gentrajectory lfg @joshuabelofsky

HumanoidRobots.com profil fotoğrafı
HumanoidRobots.com1 yıl önce

@gentrajectory 🦾🦾

KevinCodeWave profil fotoğrafı
KevinCodeWave1 yıl önce

@gentrajectory UAE's Jebel Ali Port handles 20M containers annually. This tech could revolutionize our efficiency and global trade position.

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ElectronArtist_321 yıl önce

@gentrajectory Les modèles de raisonnement pour la robotique, boostés par des simulations photoréalistes, révolutionnent l'automatisation industrielle. Bravo pour cette avancée ! 🚀

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Israr Ahmed1 yıl önce

@gentrajectory It's exciting to see AI bridging the gap between digital intelligence and real-world automation.

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Zack1 yıl önce

@gentrajectory Very cool

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Steph from OpenVC1 yıl önce

@gentrajectory Bring AI into the physical world...awesome

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Zac Yauney1 yıl önce

@gentrajectory Is that a Glove80 I see? Idk if the company is any good, but at least the founder has good taste in keyboards.

Benzer Videolar

In just ~3 months, as a solo founder with no prior robotics experience, General Trajectory trained a foundation model for dexterous manipulation that lets humanoid robots pick up unseen objects and perform real-world work. It generalizes to novel objects and scenes, including cases where prior SoTA models achieve 0% success. Congrats on the launch Joshua!
4:32

In just ~3 months, as a solo founder with no prior robotics experience, General Trajectory trained a foundation model for dexterous manipulation that lets humanoid robots pick up unseen objects and perform real-world work. It generalizes to novel objects and scenes, including cases where prior SoTA models achieve 0% success. Congrats on the launch Joshua!

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.Sureform (YC X25) connects real-world workplaces with robotics labs to collect task-specific training data for robot foundation models. Congrats on the launch, Ananth Kashyap!
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.Sureform (YC X25) connects real-world workplaces with robotics labs to collect task-specific training data for robot foundation models. Congrats on the launch, Ananth Kashyap!

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General Instinct (General Instinct) deploys frontier AI models onto constrained edge hardware, helping robotics and physical AI teams run low-latency models offline on devices like Jetsons, mobile NPUs, and ARM CPUs. Congrats on the launch, Bill & Guanming Wang (YC P26)!

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Rubric AI (Rubric AI (YC W26)) converts expert judgment into training signals for AI models and agents. The human + computational layer for AI reasoning and verification. Congrats on the launch, Pragya Saboo!

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At Physical Intelligence (π) our mission is to bring general-purpose AI into the physical world. We're excited to show the first step towards this mission - our first generalist model π₀ 🧠 🤖 Paper, blog, uncut videos:
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At Physical Intelligence (π) our mission is to bring general-purpose AI into the physical world. We're excited to show the first step towards this mission - our first generalist model π₀ 🧠 🤖 Paper, blog, uncut videos:

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Demis Hassabis says Gemini 3 is on track and shows the fastest progress in the industry But general intelligence requires more than just the current trajectory It needs better reasoning, stronger memory, and "world model ideas" to solve physical intelligence AGI is still 5–10 years away
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Demis Hassabis says Gemini 3 is on track and shows the fastest progress in the industry But general intelligence requires more than just the current trajectory It needs better reasoning, stronger memory, and "world model ideas" to solve physical intelligence AGI is still 5–10 years away

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Mundo AI (Mundo AI (YC W25)) is building the world’s largest and highest-quality multilingual data library to help AI labs un-bottleneck their multilingual model development. Congrats on the launch Jason Liao, Naijide, @garrethleee & Kenneth!

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⬡ Contrario (YC W25) is the first autonomous recruiting agency powered entirely by AI. Their LLMs act like recruiters—sourcing, screening, and matching top candidates automatically. Congrats on the launch, Arya Marwaha and Aditya Sood!

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Meet Gemini Robotics: our latest AI models designed for a new generation of helpful robots. 🤖 Based on Gemini 2.0, they bring capabilities such as better reasoning, interactivity, dexterity and generalization into the physical world. 🧵
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Meet Gemini Robotics: our latest AI models designed for a new generation of helpful robots. 🤖 Based on Gemini 2.0, they bring capabilities such as better reasoning, interactivity, dexterity and generalization into the physical world. 🧵

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🩺HealthKey (YC W25) helps doctors increase revenue by matching patients to clinical trials. Using AI and EHR data, HealthKey automates prescreening, making enrollment fast and easy. Congrats on the launch, Josh Sabol!
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🩺HealthKey (YC W25) helps doctors increase revenue by matching patients to clinical trials. Using AI and EHR data, HealthKey automates prescreening, making enrollment fast and easy. Congrats on the launch, Josh Sabol!

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YC W25's Onlook (YC W25) is the Cursor for designers. Their open-source visual editor makes it easy for designers & devs to collaborate in code, and was the #1 trending repo on GitHub—racking up 7k+ stars. Congrats on the launch, DRFarrell🐦‍🔥 and Kiet!

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This 19yo YC founder says the next 5 years belong to physical world startups 🚜 "LLMs changed knowledge work. Now apply that leverage to physical systems. Blue collar workers deserve the same leverage. AI lived on computers. Now put it in paddocks, work sites, real hardware. Nothing came out of LLMs for farmers. Their work isn't on screens." Physical world > digital world next. SamRogers (GrazeMate - YC W26) host Brycent
3:00

This 19yo YC founder says the next 5 years belong to physical world startups 🚜 "LLMs changed knowledge work. Now apply that leverage to physical systems. Blue collar workers deserve the same leverage. AI lived on computers. Now put it in paddocks, work sites, real hardware. Nothing came out of LLMs for farmers. Their work isn't on screens." Physical world > digital world next. SamRogers (GrazeMate - YC W26) host Brycent

Vesting ⚡

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for physical AI to work in the real world, it needs high-fidelity 3D models of the real world. not just for visualization — for localization, spatial reasoning, and real-to-sim workflows that close the gap between training and deployment. at Niantic Spatial 🌎, we're turning Spexi drone imagery into exactly that — city-scale Gaussian splats grounded in the environments that matter most.
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for physical AI to work in the real world, it needs high-fidelity 3D models of the real world. not just for visualization — for localization, spatial reasoning, and real-to-sim workflows that close the gap between training and deployment. at Niantic Spatial 🌎, we're turning Spexi drone imagery into exactly that — city-scale Gaussian splats grounded in the environments that matter most.

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🔍Admyral.ai (YC W25) builds AI agents that instantly locate hard-to-find property owners for commercial real estate brokers. By turning a 3 hour search into a 60 second lookup, they enable brokers to 4x their outreach. Congrats on the launch, Daniel Grittner + chris_one!

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Haladir (Haladir (YC W26)) is building operational superintelligence. Today's models fail under real-world constraints. Haladir combines formal solvers with LLMs to turn unreliable outputs into verifiable, optimal decisions, from post-training to deployment. Congrats on the launch, Jibran Hutchins, Joseph, Quan Huynh, and prestonschmittou!

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1:29

Yann LeCun says that within a year to 18 months, we'll have a general method for training hierarchical world models These models would learn from video and real-world data, then help plan actions in robotics, healthcare, and other areas "then scale them toward a universal world model"

Haider.

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