正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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!

Y Combinator

1,578,766 subscribers

99,581 次观看 • 1 年前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

Private livecam show

10 条评论

AI Capital 的头像

AI Capital1 年前

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

Yang 的头像

Yang1 年前

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 🥳

noah fichter 的头像

noah fichter1 年前

@gentrajectory lfg @joshuabelofsky

HumanoidRobots.com 的头像

HumanoidRobots.com1 年前

@gentrajectory 🦾🦾

KevinCodeWave 的头像

KevinCodeWave1 年前

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

ElectronArtist_32 的头像

ElectronArtist_321 年前

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

Israr Ahmed 的头像

Israr Ahmed1 年前

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

Zack 的头像

Zack1 年前

@gentrajectory Very cool

Steph from OpenVC 的头像

Steph from OpenVC1 年前

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

Zac Yauney 的头像

Zac Yauney1 年前

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

相关视频

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!

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!

Y Combinator

68,605 次观看 • 6 个月前

.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!

.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!

Y Combinator

35,876 次观看 • 4 个月前

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)!

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)!

Y Combinator

44,606 次观看 • 1 个月前

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!

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!

Y Combinator

16,199 次观看 • 4 个月前

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:

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:

Physical Intelligence

565,344 次观看 • 1 年前

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

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

Haider.

143,920 次观看 • 8 个月前

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!

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!

Y Combinator

49,906 次观看 • 1 年前

⬡ 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!

⬡ 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!

Y Combinator

59,809 次观看 • 1 年前

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. 🧵

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. 🧵

Google DeepMind

642,361 次观看 • 1 年前

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!

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!

Y Combinator

138,039 次观看 • 1 年前

🪿@GuseCanvas (YC W25) is building Cursor for docs— an AI canvas that takes real action to research, write, and edit alongside you. Congrats on the launch, Kevin Lu, Bach Tran, and Kevin He!

🪿@GuseCanvas (YC W25) is building Cursor for docs— an AI canvas that takes real action to research, write, and edit alongside you. Congrats on the launch, Kevin Lu, Bach Tran, and Kevin He!

Y Combinator

41,561 次观看 • 1 年前

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

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 ⚡

11,629 次观看 • 3 个月前

🔍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!

🔍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!

Y Combinator

27,842 次观看 • 1 年前

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.

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.

asim ᯅ

49,239 次观看 • 1 个月前

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!

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!

Y Combinator

33,427 次观看 • 4 个月前

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"

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.

201,090 次观看 • 2 个月前

Dollyglot (Dollyglot (YC W25)) is like Character AI but with real-time video avatars. Upload an image and voice to create your AI best friend. Chat with Harry Potter about Hogwarts or brainstorm with The Rock. Congrats on the launch, Thomas Minassian and PHB!

Dollyglot (Dollyglot (YC W25)) is like Character AI but with real-time video avatars. Upload an image and voice to create your AI best friend. Chat with Harry Potter about Hogwarts or brainstorm with The Rock. Congrats on the launch, Thomas Minassian and PHB!

Y Combinator

72,896 次观看 • 1 年前

2. NVIDIA is building the GPT of humanoid robots. They just launched Isaac GR00T N1.5 - a foundation model for general purpose robotics. Here’s how it works: → A human demos the task once → Cosmos (their physics AI model) generates 1,000s of variations → Omniverse simulates the motions in high fidelity → The robot trains entirely in simulation → Then fine-tunes itself in the real world Robots can now learn general skills across tasks, tools, even body types with just one human demo. AI isn’t just thinking in text anymore. It’s perceiving. Reasoning. Moving. Physical AI is here and it’s training itself.

2. NVIDIA is building the GPT of humanoid robots. They just launched Isaac GR00T N1.5 - a foundation model for general purpose robotics. Here’s how it works: → A human demos the task once → Cosmos (their physics AI model) generates 1,000s of variations → Omniverse simulates the motions in high fidelity → The robot trains entirely in simulation → Then fine-tunes itself in the real world Robots can now learn general skills across tasks, tools, even body types with just one human demo. AI isn’t just thinking in text anymore. It’s perceiving. Reasoning. Moving. Physical AI is here and it’s training itself.

Shruti

70,359 次观看 • 1 年前